[CourserHub.com] Coursera - Data Science Statistics and Machine Learning Specialization

Creation Time	Sept. 1, 2023, 9:14 a.m.
Last Access Time	April 2, 2025, 5:35 p.m.
File Size	4.0 GB
Keywords	and Statistics Specialization Data Science - Coursera Machine Learning com CourserHub
Total Requests	262
Total Files	729
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/06_syllabus_Coursera-SwiftKey.zip 548.0 MB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/02_task-0-understanding-the-problem/02_task-0-understanding-the-problem_Coursera-SwiftKey.zip 548.0 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/01_week-4-new-videos/02_glms.mp4 76.6 MB
data-products/04_r-packages/01_r-packages/04_building-r-packages-demo.mp4 68.5 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/04_hodgepodge/02_hodgepodge.mp4 67.0 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/03_model-selection-part-ii.mp4 62.8 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/01_multivariable-regression-examples-part-i.mp4 62.7 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/02_multivariable-regression-examples-part-ii.mp4 61.3 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/03_module-7-asymptotics/04_07-03-asymptotics-and-confidence-intervals.mp4 47.2 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/04_model-selection-part-iii.mp4 45.1 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/02_logistic-regression/02_logistic-regression-part-i.mp4 44.6 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/03_poisson-regression/02_poisson-regression-part-i.mp4 44.5 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/03_adjustment/02_adjustment-examples.mp4 42.5 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/03_poisson-regression/03_poisson-regression-part-ii.mp4 39.2 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/01_multivariable-regression/02_multivariable-regression-part-i.mp4 35.2 MB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/02_module-12-multiple-comparisons/01_12-01-multiple-comparisons.mp4 35.2 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/02_module-6-distributions/03_06-02-normal-distribution.mp4 34.7 MB
regression-models/01_week-1-least-squares-and-linear-regression/04_regression-to-the-mean/02_regression-to-the-mean.mp4 31.6 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/04_residuals-again/03_residuals-and-diagnostics-part-ii.mp4 30.6 MB
regression-models/02_week-2-linear-regression-multivariable-regression/02_residuals/03_residuals-coding-example.mp4 30.4 MB
statistical-inference/03_week-intervals-testing-pvalues/01_module-8-confidence-intervals/04_08-03-independent-group-t-intervals.mp4 29.3 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/02_logistic-regression/04_logistic-regression-part-iii.mp4 27.8 MB
data-products/04_r-packages/01_r-packages/05_r-classes-and-methods-part-1.mp4 26.9 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/06_covariate-creation.mp4 26.9 MB
statistical-inference/01_week-1-probability-expected-values/01_module-1-introduction/01_introductory-video.mp4 26.8 MB
statistical-inference/03_week-intervals-testing-pvalues/02_module-9-hypothesis-testing/05_09-04-two-group-testing.mp4 26.5 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/01_multivariable-regression/04_multivariable-regression-continued.mp4 26.4 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/01_multivariable-regression/03_multivariable-regression-part-ii.mp4 26.3 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/04_residuals-again/04_residuals-and-diagnostics-part-iii.mp4 26.0 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/02_model-selection-part-i.mp4 24.8 MB
regression-models/01_week-1-least-squares-and-linear-regression/03_linear-least-squares/04_linear-least-squares-coding-example.mp4 24.4 MB
statistical-inference/01_week-1-probability-expected-values/02_module-2-probability/04_02-03-probability-density-functions.mp4 24.3 MB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/01_module-11-power/03_11-02-calculating-power.mp4 23.6 MB
data-products/03_r-markdown-and-leaflet/03_leaflet/06_leaflet-1-6.mp4 22.8 MB
regression-models/02_week-2-linear-regression-multivariable-regression/01_statistical-linear-regression-models/04_linear-regression-for-prediction.mp4 22.6 MB
regression-models/01_week-1-least-squares-and-linear-regression/02_introduction-to-regression-and-least-squares/06_introductory-data-example.mp4 22.2 MB
statistical-inference/03_week-intervals-testing-pvalues/03_module-10-p-values/02_10-01-pvalues.mp4 21.6 MB
statistical-inference/01_week-1-probability-expected-values/03_module-3-conditional-probability/03_03-02-bayes-rule.mp4 21.6 MB
regression-models/02_week-2-linear-regression-multivariable-regression/03_inference-in-regression/04_prediction.mp4 21.4 MB
regression-models/01_week-1-least-squares-and-linear-regression/03_linear-least-squares/02_notation-and-background.mp4 21.3 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/01_module-5-variability/04_05-03-standard-error-of-the-mean.mp4 20.7 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/04_residuals-again/02_residuals-and-diagnostics-part-i.mp4 20.3 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/07_preprocessing-with-principal-components-analysis.mp4 20.0 MB
data-science-project/02_exploratory-data-analysis-and-modeling/01_task-2-exploratory-data-analysis/01_introduction-to-task-2-exploratory-data-analysis.mp4 19.9 MB
regression-models/02_week-2-linear-regression-multivariable-regression/02_residuals/04_residual-variance.mp4 19.9 MB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/01_week-4/01_regularized-regression.mp4 19.5 MB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/01_welcome-to-the-capstone-project.mp4 19.1 MB
data-products/04_r-packages/01_r-packages/03_r-packages-part-2.mp4 19.1 MB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/01_predicting-with-trees.mp4 18.6 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/03_module-7-asymptotics/03_07-02-asymptotics-and-the-clt.mp4 18.4 MB
data-products/02_shiny-googlevis-and-plotly/02_shiny-part-2/02_shiny-2-2.mp4 18.3 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/08_predicting-with-regression.mp4 18.3 MB
regression-models/02_week-2-linear-regression-multivariable-regression/03_inference-in-regression/02_inference-in-regression.mp4 17.9 MB
regression-models/01_week-1-least-squares-and-linear-regression/03_linear-least-squares/03_linear-least-squares.mp4 17.6 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/04_plotting-predictors.mp4 17.5 MB
data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/07_shiny-1-5.mp4 17.3 MB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/03_module-13-resampling/04_13-03-notes-on-the-bootstrap.mp4 17.2 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/09_predicting-with-regression-multiple-covariates.mp4 17.1 MB
data-products/02_shiny-googlevis-and-plotly/04_googlevis/02_googlevis-1-2.mp4 17.0 MB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/01_module-11-power/05_11-04-t-test-power.mp4 16.9 MB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/05_model-based-prediction.mp4 16.9 MB
regression-models/01_week-1-least-squares-and-linear-regression/02_introduction-to-regression-and-least-squares/03_introduction-basic-least-squares.mp4 16.8 MB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/10_types-of-errors.mp4 16.7 MB
data-products/03_r-markdown-and-leaflet/03_leaflet/02_leaflet-1-2.mp4 15.9 MB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/03_task-1-getting-and-cleaning-the-data/01_introduction-to-task-1-getting-and-cleaning-the-data.mp4 15.8 MB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/05_you-are-a-data-scientist-now.mp4 15.8 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/05_basic-preprocessing.mp4 15.7 MB
statistical-inference/01_week-1-probability-expected-values/04_module-4-expected-values/04_04-03-expected-values-for-pdfs.mp4 15.6 MB
statistical-inference/03_week-intervals-testing-pvalues/01_module-8-confidence-intervals/02_08-01-t-confidence-intervals.mp4 15.2 MB
regression-models/02_week-2-linear-regression-multivariable-regression/01_statistical-linear-regression-models/03_interpreting-coefficients.mp4 15.1 MB
statistical-inference/03_week-intervals-testing-pvalues/03_module-10-p-values/03_10-02-pvalue-further-examples.mp4 15.1 MB
statistical-inference/01_week-1-probability-expected-values/02_module-2-probability/03_02-02-probability-mass-functions.mp4 15.1 MB
data-products/04_r-packages/01_r-packages/06_r-classes-and-methods-part-2.mp4 15.0 MB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/02_task-0-understanding-the-problem/01_introduction-to-task-0-understanding-the-problem.mp4 14.7 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/04_multivariable-regression-examples-part-iv.mp4 14.7 MB
regression-models/02_week-2-linear-regression-multivariable-regression/03_inference-in-regression/03_coding-example.mp4 14.7 MB
data-products/03_r-markdown-and-leaflet/01_r-markdown/06_r-markdown-1-6.mp4 14.7 MB
regression-models/02_week-2-linear-regression-multivariable-regression/02_residuals/02_residuals.mp4 14.5 MB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/07_relative-importance-of-steps.mp4 14.5 MB
regression-models/01_week-1-least-squares-and-linear-regression/03_linear-least-squares/05_technical-details-skip-if-you-d-like.mp4 14.5 MB
data-products/02_shiny-googlevis-and-plotly/04_googlevis/01_googlevis-1-1.mp4 14.2 MB
data-products/05_swirl-and-course-project/01_swirl-courses/02_swirl-1-2.mp4 14.1 MB
data-products/02_shiny-googlevis-and-plotly/05_plotly/03_plotly-1-3.mp4 14.0 MB
data-science-project/03_prediction-model/01_task-4-prediction-model/01_introduction-to-task-4-prediction-model.mp4 13.8 MB
regression-models/01_week-1-least-squares-and-linear-regression/02_introduction-to-regression-and-least-squares/02_introduction-to-regression.mp4 13.8 MB
data-products/04_r-packages/01_r-packages/02_r-packages-part-1.mp4 13.8 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/02_module-6-distributions/04_06-03-poisson.mp4 13.5 MB
data-science-project/05_data-product/01_task-6-data-product/01_introduction-to-task-6-data-product.mp4 13.5 MB
data-science-project/02_exploratory-data-analysis-and-modeling/02_task-3-modeling/01_introduction-to-task-3-modeling.mp4 13.4 MB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/06_what-is-prediction.mp4 13.3 MB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/02_bagging.mp4 13.1 MB
statistical-inference/01_week-1-probability-expected-values/02_module-2-probability/02_02-01-introduction-to-probability.mp4 13.0 MB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/01_week-4/03_forecasting.mp4 13.0 MB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/09_prediction-study-design.mp4 12.9 MB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/03_module-13-resampling/02_13-01-bootstrapping.mp4 12.8 MB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/01_module-11-power/02_11-01-power.mp4 12.8 MB
data-products/05_swirl-and-course-project/01_swirl-courses/03_swirl-1-3.mp4 12.7 MB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/03_module-13-resampling/05_13-04-permutation-tests.mp4 12.6 MB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/05_prediction-motivation.mp4 12.5 MB
data-products/02_shiny-googlevis-and-plotly/03_shiny-gadgets/03_shiny-gadgets-1-3.mp4 12.2 MB
data-products/03_r-markdown-and-leaflet/01_r-markdown/05_r-markdown-1-5.mp4 12.2 MB
statistical-inference/01_week-1-probability-expected-values/04_module-4-expected-values/02_04-01-expected-values.mp4 12.1 MB
data-products/02_shiny-googlevis-and-plotly/05_plotly/04_plotly-1-4.mp4 11.9 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/01_module-5-variability/02_05-01-introduction-to-variability.mp4 11.8 MB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/03_task-1-getting-and-cleaning-the-data/04_regular-expressions-part-2-optional.mp4 11.7 MB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/02_course-project/01_course-project-instructions-read-first_pml-training.csv 11.6 MB
data-science-project/07_final-project-submission-and-evaluation/01_final-project-submission/01_congratulations.mp4 11.6 MB
data-products/03_r-markdown-and-leaflet/03_leaflet/05_leaflet-1-5.mp4 11.4 MB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/12_cross-validation.mp4 11.4 MB
statistical-inference/03_week-intervals-testing-pvalues/02_module-9-hypothesis-testing/03_09-02-example-of-choosing-a-rejection-region.mp4 11.3 MB
statistical-inference/01_week-1-probability-expected-values/03_module-3-conditional-probability/02_03-01-conditional-probability.mp4 11.2 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/03_module-7-asymptotics/02_07-01-asymptotics-and-lln.mp4 11.1 MB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/01_week-4/02_combining-predictors.mp4 11.0 MB
data-products/02_shiny-googlevis-and-plotly/02_shiny-part-2/06_shiny-2-6.mp4 10.7 MB
data-science-project/04_creative-exploration/01_task-5-creative-exploration/01_introduction-to-task-5-creative-exploration.mp4 10.6 MB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/04_boosting.mp4 10.6 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/03_multivariable-regression-examples-part-iii.mp4 10.5 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/03_training-options.mp4 10.4 MB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/03_random-forests.mp4 10.2 MB
statistical-inference/03_week-intervals-testing-pvalues/02_module-9-hypothesis-testing/02_09-01-hypothesis-testing.mp4 10.2 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/01_caret-package.mp4 10.1 MB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/01_module-11-power/04_11-03-notes-on-power.mp4 10.1 MB
statistical-inference/03_week-intervals-testing-pvalues/02_module-9-hypothesis-testing/04_09-03-t-tests.mp4 10.1 MB
data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/06_shiny-1-4.mp4 10.0 MB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/08_in-and-out-of-sample-errors.mp4 10.0 MB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/13_what-data-should-you-use.mp4 9.6 MB
regression-models/02_week-2-linear-regression-multivariable-regression/04_for-the-project/02_really-really-quick-intro-to-knitr.mp4 9.5 MB
data-products/03_r-markdown-and-leaflet/03_leaflet/04_leaflet-1-4.mp4 9.5 MB
statistical-inference/03_week-intervals-testing-pvalues/04_knitr/02_just-enough-knitr-to-do-the-project.mp4 9.3 MB
data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/04_shiny-1-2.mp4 9.2 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/01_module-5-variability/05_05-04-variance-data-example.mp4 9.2 MB
statistical-inference/01_week-1-probability-expected-values/03_module-3-conditional-probability/04_03-03-independence.mp4 9.1 MB
data-science-project/06_slide-deck/01_task-7-slide-deck/01_introduction-to-task-7-slide-deck.mp4 9.0 MB
data-products/03_r-markdown-and-leaflet/01_r-markdown/03_r-markdown-1-3.mp4 9.0 MB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/03_module-13-resampling/03_13-02-bootstrapping-example.mp4 8.9 MB
data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/03_shiny-1-1.mp4 8.7 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/02_module-6-distributions/02_06-01-binomial-distrubtion.mp4 8.7 MB
data-products/02_shiny-googlevis-and-plotly/05_plotly/06_plotly-1-6.mp4 8.5 MB
data-products/02_shiny-googlevis-and-plotly/03_shiny-gadgets/01_shiny-gadgets-1-1.mp4 8.4 MB
statistical-inference/01_week-1-probability-expected-values/01_module-1-introduction/05_syllabus_lectures.zip 8.3 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/02_data-slicing.mp4 8.0 MB
data-products/03_r-markdown-and-leaflet/01_r-markdown/02_r-markdown-1-2.mp4 7.8 MB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/03_task-1-getting-and-cleaning-the-data/03_regular-expressions-part-1-optional.mp4 7.7 MB
data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/05_shiny-1-3.mp4 7.6 MB
data-products/02_shiny-googlevis-and-plotly/02_shiny-part-2/05_shiny-2-5.mp4 7.4 MB
data-products/03_r-markdown-and-leaflet/03_leaflet/01_leaflet-1-1.mp4 7.3 MB
regression-models/02_week-2-linear-regression-multivariable-regression/01_statistical-linear-regression-models/02_statistical-linear-regression-models.mp4 7.3 MB
data-products/02_shiny-googlevis-and-plotly/02_shiny-part-2/04_shiny-2-4.mp4 7.1 MB
data-products/02_shiny-googlevis-and-plotly/03_shiny-gadgets/02_shiny-gadgets-1-2.mp4 6.9 MB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/11_receiver-operating-characteristic.mp4 6.9 MB
statistical-inference/03_week-intervals-testing-pvalues/01_module-8-confidence-intervals/05_08-04-a-note-on-unequal-variance.mp4 6.6 MB
data-products/03_r-markdown-and-leaflet/01_r-markdown/01_r-markdown-1-1.mp4 6.5 MB
statistical-inference/03_week-intervals-testing-pvalues/01_module-8-confidence-intervals/03_08-02-t-confidence-intervals-example.mp4 6.2 MB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/01_week-4/04_unsupervised-prediction.mp4 6.1 MB
data-products/02_shiny-googlevis-and-plotly/02_shiny-part-2/03_shiny-2-3.mp4 6.0 MB
regression-models/01_week-1-least-squares-and-linear-regression/02_introduction-to-regression-and-least-squares/05_technical-details-skip-if-you-d-like.mp4 5.8 MB
data-products/03_r-markdown-and-leaflet/03_leaflet/03_leaflet-1-3.mp4 5.6 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/02_logistic-regression/03_logistic-regression-part-ii.mp4 5.5 MB
data-products/01_course-overview/01_welcome/01_welcome-to-developing-data-products.mp4 5.4 MB
data-products/02_shiny-googlevis-and-plotly/05_plotly/05_plotly-1-5.mp4 5.4 MB
statistical-inference/01_week-1-probability-expected-values/04_module-4-expected-values/03_04-02-expected-values-simple-examples.mp4 5.3 MB
data-products/02_shiny-googlevis-and-plotly/05_plotly/01_plotly-1-1.mp4 4.9 MB
data-products/05_swirl-and-course-project/01_swirl-courses/01_swirl-1-1.mp4 4.8 MB
data-products/02_shiny-googlevis-and-plotly/02_shiny-part-2/01_shiny-2-1.mp4 4.5 MB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/04_welcome-from-swiftkey.mp4 3.6 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/01_module-5-variability/03_05-02-variance-simulation-examples.mp4 3.6 MB
data-products/02_shiny-googlevis-and-plotly/05_plotly/02_plotly-1-2.mp4 3.5 MB
data-products/02_shiny-googlevis-and-plotly/05_plotly/08_plotly-1-8.mp4 2.7 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/01_caret-package_010caretPackage.pdf 2.3 MB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/05_prediction-motivation_001predictionMotivation.pdf 2.1 MB
data-products/02_shiny-googlevis-and-plotly/05_plotly/07_plotly-1-7.mp4 2.1 MB
data-products/03_r-markdown-and-leaflet/01_r-markdown/04_r-markdown-1-4.mp4 2.1 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/06_covariate-creation_015covariateCreation.pdf 1.9 MB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/06_what-is-prediction_002whatIsPrediction.pdf 1.8 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/08_predicting-with-regression_017predictingWithRegression.pdf 1.8 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/09_predicting-with-regression-multiple-covariates_018predictingWithRegressionMC.pdf 1.8 MB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/01_week-4/03_forecasting_027forecasting.pdf 1.8 MB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/01_week-4/02_combining-predictors_025combiningPredictors.pdf 1.7 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/07_preprocessing-with-principal-components-analysis_016preProcessingPCA.pdf 1.7 MB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/10_types-of-errors_006typesOfErrors.pdf 1.7 MB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/01_week-4/01_regularized-regression_024regularizedRegression.pdf 1.7 MB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/13_what-data-should-you-use_009whatData.pdf 1.7 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/04_plotting-predictors_013plottingPredictors.pdf 1.7 MB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/01_predicting-with-trees_019predictingWithTrees.pdf 1.6 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/01_multivariable-regression-examples-part-i_02_02.pdf 1.6 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/02_multivariable-regression-examples-part-ii_02_02.pdf 1.6 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/03_multivariable-regression-examples-part-iii_02_02.pdf 1.6 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/04_multivariable-regression-examples-part-iv_02_02.pdf 1.6 MB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/02_bagging_020bagging.pdf 1.5 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/05_basic-preprocessing_014basicPreprocessing.pdf 1.5 MB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/03_random-forests_021randomForests.pdf 1.3 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/03_training-options_012trainOptions.pdf 1.3 MB
data-products/01_course-overview/01_welcome/03_syllabus_syllabus.html 1.3 MB
data-products/01_course-overview/01_welcome/04_welcome_welcome.html 1.3 MB
data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/01_shiny_shiny.html 1.2 MB
data-products/01_course-overview/01_welcome/06_community-site_community.html 1.2 MB
data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/02_shinyapps-io-project_shinyproject.html 1.2 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/03_module-7-asymptotics/02_07-01-asymptotics-and-lln_index.pdf 1.2 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/03_module-7-asymptotics/03_07-02-asymptotics-and-the-clt_index.pdf 1.2 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/03_module-7-asymptotics/04_07-03-asymptotics-and-confidence-intervals_index.pdf 1.2 MB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/05_model-based-prediction_023modelBasedPrediction.pdf 1.2 MB
statistical-inference/01_week-1-probability-expected-values/02_module-2-probability/02_02-01-introduction-to-probability_index.pdf 1.2 MB
statistical-inference/01_week-1-probability-expected-values/02_module-2-probability/03_02-02-probability-mass-functions_index.pdf 1.2 MB
statistical-inference/01_week-1-probability-expected-values/02_module-2-probability/04_02-03-probability-density-functions_index.pdf 1.2 MB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/04_boosting_022boosting.pdf 1.2 MB
statistical-inference/01_week-1-probability-expected-values/01_module-1-introduction/01_introductory-video_index.pdf 1.1 MB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/08_in-and-out-of-sample-errors_004inOutSampleErrors.pdf 1.0 MB
statistical-inference/01_week-1-probability-expected-values/03_module-3-conditional-probability/02_03-01-conditional-probability_index.pdf 966.7 KB
statistical-inference/01_week-1-probability-expected-values/03_module-3-conditional-probability/03_03-02-bayes-rule_index.pdf 966.7 KB
statistical-inference/01_week-1-probability-expected-values/03_module-3-conditional-probability/04_03-03-independence_index.pdf 966.7 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/07_relative-importance-of-steps_003relativeImportance.pdf 906.8 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/09_prediction-study-design_005predictionStudyDesign.pdf 861.7 KB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/02_data-slicing_011dataSlicing.pdf 832.7 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/02_module-6-distributions/02_06-01-binomial-distrubtion_index.pdf 821.6 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/02_module-6-distributions/03_06-02-normal-distribution_index.pdf 821.6 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/02_module-6-distributions/04_06-03-poisson_index.pdf 821.6 KB
statistical-inference/03_week-intervals-testing-pvalues/01_module-8-confidence-intervals/02_08-01-t-confidence-intervals_index.pdf 795.3 KB
statistical-inference/03_week-intervals-testing-pvalues/01_module-8-confidence-intervals/03_08-02-t-confidence-intervals-example_index.pdf 795.3 KB
statistical-inference/03_week-intervals-testing-pvalues/01_module-8-confidence-intervals/04_08-03-independent-group-t-intervals_index.pdf 795.3 KB
statistical-inference/03_week-intervals-testing-pvalues/01_module-8-confidence-intervals/05_08-04-a-note-on-unequal-variance_index.pdf 795.3 KB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/01_week-4/04_unsupervised-prediction_026unsupervisedPrediction.pdf 735.8 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/02_module-12-multiple-comparisons/01_12-01-multiple-comparisons_index.pdf 631.9 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/01_module-5-variability/02_05-01-introduction-to-variability_index.pdf 602.9 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/01_module-5-variability/03_05-02-variance-simulation-examples_index.pdf 602.9 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/01_module-5-variability/04_05-03-standard-error-of-the-mean_index.pdf 602.9 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/01_module-5-variability/05_05-04-variance-data-example_index.pdf 602.9 KB
statistical-inference/01_week-1-probability-expected-values/04_module-4-expected-values/02_04-01-expected-values_index.pdf 582.3 KB
statistical-inference/01_week-1-probability-expected-values/04_module-4-expected-values/03_04-02-expected-values-simple-examples_index.pdf 582.3 KB
statistical-inference/01_week-1-probability-expected-values/04_module-4-expected-values/04_04-03-expected-values-for-pdfs_index.pdf 582.3 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/12_cross-validation_008crossValidation.pdf 501.2 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/01_multivariable-regression/02_multivariable-regression-part-i_02_01.pdf 489.3 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/01_multivariable-regression/03_multivariable-regression-part-ii_02_01.pdf 489.3 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/01_multivariable-regression/04_multivariable-regression-continued_02_01.pdf 489.3 KB
regression-models/01_week-1-least-squares-and-linear-regression/02_introduction-to-regression-and-least-squares/02_introduction-to-regression_01_01.pdf 475.4 KB
regression-models/01_week-1-least-squares-and-linear-regression/02_introduction-to-regression-and-least-squares/03_introduction-basic-least-squares_01_01.pdf 475.4 KB
regression-models/01_week-1-least-squares-and-linear-regression/02_introduction-to-regression-and-least-squares/05_technical-details-skip-if-you-d-like_01_01.pdf 475.4 KB
regression-models/01_week-1-least-squares-and-linear-regression/02_introduction-to-regression-and-least-squares/06_introductory-data-example_01_01.pdf 475.4 KB
statistical-inference/01_week-1-probability-expected-values/01_module-1-introduction/06_course-book-statistical-inference-for-data-science_instructions.html 376.2 KB
regression-models/01_week-1-least-squares-and-linear-regression/01_introduction/02_book-regression-models-for-data-science-in-r_instructions.html 358.4 KB
regression-models/01_week-1-least-squares-and-linear-regression/01_introduction/06_where-to-get-more-advanced-material_instructions.html 332.3 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/03_adjustment/02_adjustment-examples_02_03.pdf 306.9 KB
data-products/03_r-markdown-and-leaflet/03_leaflet/01_leaflet-1-1_Leaflet.rmd 251.5 KB
regression-models/02_week-2-linear-regression-multivariable-regression/03_inference-in-regression/02_inference-in-regression_01_07.pdf 231.9 KB
regression-models/02_week-2-linear-regression-multivariable-regression/03_inference-in-regression/03_coding-example_01_07.pdf 231.9 KB
regression-models/02_week-2-linear-regression-multivariable-regression/03_inference-in-regression/04_prediction_01_07.pdf 231.9 KB
regression-models/02_week-2-linear-regression-multivariable-regression/02_residuals/02_residuals_01_06.pdf 230.6 KB
regression-models/02_week-2-linear-regression-multivariable-regression/02_residuals/03_residuals-coding-example_01_06.pdf 230.6 KB
regression-models/02_week-2-linear-regression-multivariable-regression/02_residuals/04_residual-variance_01_06.pdf 230.6 KB
data-products/01_course-overview/01_welcome/04_welcome_Developing_Data_Products.git 229.5 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/04_residuals-again/02_residuals-and-diagnostics-part-i_02_04.pdf 218.9 KB
regression-models/02_week-2-linear-regression-multivariable-regression/01_statistical-linear-regression-models/02_statistical-linear-regression-models_01_05.pdf 211.0 KB
regression-models/02_week-2-linear-regression-multivariable-regression/01_statistical-linear-regression-models/03_interpreting-coefficients_01_05.pdf 211.0 KB
regression-models/02_week-2-linear-regression-multivariable-regression/01_statistical-linear-regression-models/04_linear-regression-for-prediction_01_05.pdf 211.0 KB
statistical-inference/03_week-intervals-testing-pvalues/02_module-9-hypothesis-testing/02_09-01-hypothesis-testing_index.pdf 208.7 KB
statistical-inference/03_week-intervals-testing-pvalues/02_module-9-hypothesis-testing/03_09-02-example-of-choosing-a-rejection-region_index.pdf 208.7 KB
statistical-inference/03_week-intervals-testing-pvalues/02_module-9-hypothesis-testing/04_09-03-t-tests_index.pdf 208.7 KB
statistical-inference/03_week-intervals-testing-pvalues/02_module-9-hypothesis-testing/05_09-04-two-group-testing_index.pdf 208.7 KB
data-products/01_course-overview/01_welcome/06_community-site_DataScienceSpecialization.github.io 202.6 KB
regression-models/01_week-1-least-squares-and-linear-regression/01_introduction/05_data-science-specialization-community-site_DataScienceSpecialization.github.io 202.6 KB
statistical-inference/01_week-1-probability-expected-values/01_module-1-introduction/07_data-science-specialization-community-site_DataScienceSpecialization.github.io 202.6 KB
regression-models/01_week-1-least-squares-and-linear-regression/01_introduction/01_welcome-to-regression-models_courses.git 195.6 KB
statistical-inference/01_week-1-probability-expected-values/01_module-1-introduction/05_syllabus_JHSPH-StudentReferencing_handbook.pdf 191.4 KB
regression-models/01_week-1-least-squares-and-linear-regression/01_introduction/03_syllabus_JHSPH-ReferencingHandbook.pdf 191.4 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/01_week-4-new-videos/02_glms_03_01.pdf 190.8 KB
statistical-inference/01_week-1-probability-expected-values/01_module-1-introduction/03_some-introductory-comments_courses.git 189.5 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/04_hodgepodge/02_hodgepodge_03_04.pdf 189.4 KB
regression-models/01_week-1-least-squares-and-linear-regression/03_linear-least-squares/03_linear-least-squares_01_03.pdf 185.1 KB
regression-models/01_week-1-least-squares-and-linear-regression/03_linear-least-squares/04_linear-least-squares-coding-example_01_03.pdf 185.1 KB
regression-models/01_week-1-least-squares-and-linear-regression/03_linear-least-squares/05_technical-details-skip-if-you-d-like_01_03.pdf 185.1 KB
data-products/01_course-overview/01_welcome/05_book-developing-data-products-in-r_instructions.html 178.3 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/03_module-13-resampling/02_13-01-bootstrapping_index.pdf 173.6 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/03_module-13-resampling/03_13-02-bootstrapping-example_index.pdf 173.6 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/03_module-13-resampling/04_13-03-notes-on-the-bootstrap_index.pdf 173.6 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/03_module-13-resampling/05_13-04-permutation-tests_index.pdf 173.6 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/02_logistic-regression/02_logistic-regression-part-i_03_02.pdf 159.3 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/02_logistic-regression/03_logistic-regression-part-ii_03_02.pdf 159.3 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/02_logistic-regression/04_logistic-regression-part-iii_03_02.pdf 159.3 KB
regression-models/01_week-1-least-squares-and-linear-regression/01_introduction/01_welcome-to-regression-models_Kbp848YCgjxdpeGihUcxr4_PL8JM5tJxrEVr91e09B5KidCoGXWxe8c2AEKCoEXbBAaW4JMUUXI0R-KgvzNd7g.JywEThkg4eCE-iu2MYP7iw.u4f02fpu8cveioeaveh3 149.0 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/02_model-selection-part-i_02_05.pdf 144.6 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/03_model-selection-part-ii_02_05.pdf 144.6 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/04_model-selection-part-iii_02_05.pdf 144.6 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/01_module-11-power/02_11-01-power_index.pdf 141.0 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/01_module-11-power/03_11-02-calculating-power_index.pdf 141.0 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/01_module-11-power/04_11-03-notes-on-power_index.pdf 141.0 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/01_module-11-power/05_11-04-t-test-power_index.pdf 141.0 KB
data-products/01_course-overview/01_welcome/06_community-site_community.pdf 136.3 KB
data-products/01_course-overview/01_welcome/05_book-developing-data-products-in-r_book.pdf 136.0 KB
regression-models/01_week-1-least-squares-and-linear-regression/03_linear-least-squares/02_notation-and-background_01_02.pdf 127.6 KB
statistical-inference/03_week-intervals-testing-pvalues/03_module-10-p-values/02_10-01-pvalues_index.pdf 89.7 KB
statistical-inference/03_week-intervals-testing-pvalues/03_module-10-p-values/03_10-02-pvalue-further-examples_index.pdf 89.7 KB
statistical-inference/01_week-1-probability-expected-values/01_module-1-introduction/05_syllabus_rmd.zip 43.6 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/02_module-12-multiple-comparisons/01_12-01-multiple-comparisons.en.srt 41.6 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/06_syllabus_Referencing_handbook.pdf 41.4 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/02_multivariable-regression-examples-part-ii.en.srt 31.1 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/03_model-selection-part-ii.en.srt 31.1 KB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/06_covariate-creation.en.srt 29.6 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/01_week-4-new-videos/02_glms.en.srt 28.3 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/03_module-7-asymptotics/04_07-03-asymptotics-and-confidence-intervals.en.srt 28.0 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/01_multivariable-regression-examples-part-i.en.srt 26.5 KB
data-products/04_r-packages/01_r-packages/04_building-r-packages-demo.en.srt 26.0 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/04_hodgepodge/02_hodgepodge.en.srt 25.8 KB
data-products/04_r-packages/01_r-packages/03_r-packages-part-2.en.srt 25.7 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/02_module-12-multiple-comparisons/01_12-01-multiple-comparisons.en.txt 25.7 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/03_project-overview_NaturalLanguageProcessing.html 24.7 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/02_task-0-understanding-the-problem/02_task-0-understanding-the-problem_NaturalLanguageProcessing.html 24.7 KB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/07_preprocessing-with-principal-components-analysis.en.srt 24.3 KB
statistical-inference/01_week-1-probability-expected-values/01_module-1-introduction/08_homework-problems_hw4.html 23.2 KB
statistical-inference/03_week-intervals-testing-pvalues/02_module-9-hypothesis-testing/05_09-04-two-group-testing.en.srt 23.0 KB
data-products/04_r-packages/01_r-packages/05_r-classes-and-methods-part-1.en.srt 22.7 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/02_logistic-regression/02_logistic-regression-part-i.en.srt 22.6 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/03_adjustment/02_adjustment-examples.en.srt 22.0 KB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/01_week-4/01_regularized-regression.en.srt 21.2 KB
statistical-inference/01_week-1-probability-expected-values/02_module-2-probability/04_02-03-probability-density-functions.en.srt 20.5 KB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/01_predicting-with-trees.en.srt 20.5 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/03_model-selection-part-ii.en.txt 19.9 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/02_multivariable-regression-examples-part-ii.en.txt 19.4 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/02_module-6-distributions/03_06-02-normal-distribution.en.srt 19.3 KB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/08_predicting-with-regression.en.srt 19.1 KB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/05_model-based-prediction.en.srt 19.0 KB
statistical-inference/03_week-intervals-testing-pvalues/01_module-8-confidence-intervals/04_08-03-independent-group-t-intervals.en.srt 18.9 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/10_types-of-errors.en.srt 18.8 KB
regression-models/02_week-2-linear-regression-multivariable-regression/02_residuals/03_residuals-coding-example.en.srt 18.8 KB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/05_basic-preprocessing.en.srt 18.5 KB
data-products/04_r-packages/01_r-packages/06_r-classes-and-methods-part-2.en.srt 18.5 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/07_relative-importance-of-steps.en.srt 18.4 KB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/06_covariate-creation.en.txt 18.4 KB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/09_predicting-with-regression-multiple-covariates.en.srt 18.2 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/01_week-4-new-videos/02_glms.en.txt 18.1 KB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/04_plotting-predictors.en.srt 18.0 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/03_module-7-asymptotics/04_07-03-asymptotics-and-confidence-intervals.en.txt 17.7 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/04_model-selection-part-iii.en.srt 17.7 KB
statistical-inference/01_week-1-probability-expected-values/01_module-1-introduction/08_homework-problems_hw2.html 17.2 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/03_poisson-regression/02_poisson-regression-part-i.en.srt 17.1 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/01_multivariable-regression-examples-part-i.en.txt 16.4 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/03_poisson-regression/03_poisson-regression-part-ii.en.srt 16.4 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/09_prediction-study-design.en.srt 16.3 KB
regression-models/01_week-1-least-squares-and-linear-regression/04_regression-to-the-mean/02_regression-to-the-mean.en.srt 16.3 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/04_hodgepodge/02_hodgepodge.en.txt 16.2 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/01_module-11-power/03_11-02-calculating-power.en.srt 16.1 KB
statistical-inference/01_week-1-probability-expected-values/01_module-1-introduction/08_homework-problems_hw3.html 15.9 KB
data-products/04_r-packages/01_r-packages/03_r-packages-part-2.en.txt 15.8 KB
regression-models/01_week-1-least-squares-and-linear-regression/02_introduction-to-regression-and-least-squares/06_introductory-data-example.en.srt 15.7 KB
data-products/04_r-packages/01_r-packages/04_building-r-packages-demo.en.txt 15.4 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/05_prediction-motivation.en.srt 15.1 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/06_what-is-prediction.en.srt 15.1 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/12_cross-validation.en.srt 15.1 KB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/07_preprocessing-with-principal-components-analysis.en.txt 15.0 KB
statistical-inference/01_week-1-probability-expected-values/01_module-1-introduction/08_homework-problems_hw1.html 15.0 KB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/02_course-project/01_course-project-instructions-read-first_pml-testing.csv 14.8 KB
statistical-inference/03_week-intervals-testing-pvalues/02_module-9-hypothesis-testing/05_09-04-two-group-testing.en.txt 14.7 KB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/02_bagging.en.srt 14.7 KB
regression-models/02_week-2-linear-regression-multivariable-regression/03_inference-in-regression/04_prediction.en.srt 14.4 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/01_multivariable-regression/03_multivariable-regression-part-ii.en.srt 14.2 KB
data-products/04_r-packages/01_r-packages/05_r-classes-and-methods-part-1.en.txt 14.0 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/02_logistic-regression/02_logistic-regression-part-i.en.txt 14.0 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/03_adjustment/02_adjustment-examples.en.txt 13.9 KB
regression-models/02_week-2-linear-regression-multivariable-regression/01_statistical-linear-regression-models/04_linear-regression-for-prediction.en.srt 13.4 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/01_multivariable-regression/02_multivariable-regression-part-i.en.srt 13.3 KB
data-products/02_shiny-googlevis-and-plotly/02_shiny-part-2/02_shiny-2-2.en.srt 13.2 KB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/01_week-4/01_regularized-regression.en.txt 13.0 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/03_module-13-resampling/04_13-03-notes-on-the-bootstrap.en.srt 13.0 KB
data-products/04_r-packages/01_r-packages/02_r-packages-part-1.en.srt 12.9 KB
data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/07_shiny-1-5.en.srt 12.9 KB
statistical-inference/01_week-1-probability-expected-values/02_module-2-probability/04_02-03-probability-density-functions.en.txt 12.8 KB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/01_predicting-with-trees.en.txt 12.6 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/08_in-and-out-of-sample-errors.en.srt 12.4 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/04_residuals-again/03_residuals-and-diagnostics-part-ii.en.srt 12.4 KB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/01_week-4/03_forecasting.en.srt 12.2 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/03_module-7-asymptotics/03_07-02-asymptotics-and-the-clt.en.srt 12.1 KB
statistical-inference/03_week-intervals-testing-pvalues/01_module-8-confidence-intervals/02_08-01-t-confidence-intervals.en.srt 12.1 KB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/03_training-options.en.srt 12.1 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/02_module-6-distributions/03_06-02-normal-distribution.en.txt 12.0 KB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/08_predicting-with-regression.en.txt 11.9 KB
statistical-inference/01_week-1-probability-expected-values/04_module-4-expected-values/04_04-03-expected-values-for-pdfs.en.srt 11.8 KB
statistical-inference/03_week-intervals-testing-pvalues/01_module-8-confidence-intervals/04_08-03-independent-group-t-intervals.en.txt 11.7 KB
statistical-inference/01_week-1-probability-expected-values/03_module-3-conditional-probability/03_03-02-bayes-rule.en.srt 11.7 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/10_types-of-errors.en.txt 11.7 KB
regression-models/02_week-2-linear-regression-multivariable-regression/02_residuals/03_residuals-coding-example.en.txt 11.7 KB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/04_boosting.en.srt 11.6 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/01_multivariable-regression/04_multivariable-regression-continued.en.srt 11.6 KB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/05_model-based-prediction.en.txt 11.6 KB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/03_random-forests.en.srt 11.5 KB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/05_basic-preprocessing.en.txt 11.5 KB
data-products/04_r-packages/01_r-packages/06_r-classes-and-methods-part-2.en.txt 11.5 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/03_module-13-resampling/05_13-04-permutation-tests.en.srt 11.5 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/03_task-1-getting-and-cleaning-the-data/04_regular-expressions-part-2-optional.en.srt 11.5 KB
data-products/02_shiny-googlevis-and-plotly/04_googlevis/02_googlevis-1-2.en.srt 11.4 KB
statistical-inference/01_week-1-probability-expected-values/02_module-2-probability/03_02-02-probability-mass-functions.en.srt 11.4 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/04_residuals-again/04_residuals-and-diagnostics-part-iii.en.srt 11.4 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/13_what-data-should-you-use.en.srt 11.4 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/07_relative-importance-of-steps.en.txt 11.3 KB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/09_predicting-with-regression-multiple-covariates.en.txt 11.3 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/04_model-selection-part-iii.en.txt 11.3 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/02_logistic-regression/04_logistic-regression-part-iii.en.srt 11.2 KB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/04_plotting-predictors.en.txt 11.2 KB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/01_caret-package.en.srt 11.0 KB
regression-models/01_week-1-least-squares-and-linear-regression/03_linear-least-squares/04_linear-least-squares-coding-example.en.srt 11.0 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/01_module-5-variability/04_05-03-standard-error-of-the-mean.en.srt 10.9 KB
statistical-inference/01_week-1-probability-expected-values/01_module-1-introduction/01_introductory-video.en.srt 10.9 KB
regression-models/01_week-1-least-squares-and-linear-regression/03_linear-least-squares/02_notation-and-background.en.srt 10.9 KB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/01_week-4/02_combining-predictors.en.srt 10.9 KB
regression-models/02_week-2-linear-regression-multivariable-regression/02_residuals/04_residual-variance.en.srt 10.8 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/03_poisson-regression/02_poisson-regression-part-i.en.txt 10.8 KB
regression-models/01_week-1-least-squares-and-linear-regression/03_linear-least-squares/05_technical-details-skip-if-you-d-like.en.srt 10.5 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/03_poisson-regression/03_poisson-regression-part-ii.en.txt 10.4 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/04_week-4-quiz/01_quiz-4_exam.html 10.3 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/02_model-selection-part-i.en.srt 10.2 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/09_prediction-study-design.en.txt 10.2 KB
regression-models/01_week-1-least-squares-and-linear-regression/04_regression-to-the-mean/02_regression-to-the-mean.en.txt 10.2 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/04_multivariable-regression-examples-part-iv.en.srt 10.1 KB
statistical-inference/03_week-intervals-testing-pvalues/03_module-10-p-values/02_10-01-pvalues.en.srt 10.1 KB
statistical-inference/01_week-1-probability-expected-values/01_module-1-introduction/05_syllabus_instructions.html 10.0 KB
statistical-inference/01_week-1-probability-expected-values/02_module-2-probability/02_02-01-introduction-to-probability.en.srt 9.9 KB
regression-models/01_week-1-least-squares-and-linear-regression/01_introduction/03_syllabus_instructions.html 9.8 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/01_module-11-power/05_11-04-t-test-power.en.srt 9.8 KB
data-products/03_r-markdown-and-leaflet/01_r-markdown/06_r-markdown-1-6.en.srt 9.7 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/01_module-11-power/03_11-02-calculating-power.en.txt 9.7 KB
regression-models/01_week-1-least-squares-and-linear-regression/02_introduction-to-regression-and-least-squares/06_introductory-data-example.en.txt 9.6 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/03_module-13-resampling/02_13-01-bootstrapping.en.srt 9.6 KB
regression-models/02_week-2-linear-regression-multivariable-regression/03_inference-in-regression/03_coding-example.en.srt 9.5 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/06_what-is-prediction.en.txt 9.4 KB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/02_data-slicing.en.srt 9.4 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/12_cross-validation.en.txt 9.3 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/05_prediction-motivation.en.txt 9.3 KB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/02_bagging.en.txt 9.1 KB
regression-models/02_week-2-linear-regression-multivariable-regression/03_inference-in-regression/04_prediction.en.txt 9.1 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/01_multivariable-regression/03_multivariable-regression-part-ii.en.txt 9.0 KB
data-products/03_r-markdown-and-leaflet/03_leaflet/06_leaflet-1-6.en.srt 8.9 KB
data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/03_shiny-1-1.en.srt 8.9 KB
regression-models/01_week-1-least-squares-and-linear-regression/02_introduction-to-regression-and-least-squares/02_introduction-to-regression.en.srt 8.9 KB
statistical-inference/03_week-intervals-testing-pvalues/06_week-3-quiz/01_quiz-3_exam.html 8.8 KB
data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/06_shiny-1-4.en.srt 8.8 KB
regression-models/01_week-1-least-squares-and-linear-regression/03_linear-least-squares/03_linear-least-squares.en.srt 8.8 KB
data-products/02_shiny-googlevis-and-plotly/02_shiny-part-2/06_shiny-2-6.en.srt 8.7 KB
data-products/02_shiny-googlevis-and-plotly/03_shiny-gadgets/03_shiny-gadgets-1-3.en.srt 8.6 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/02_module-6-distributions/04_06-03-poisson.en.srt 8.6 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/11_receiver-operating-characteristic.en.srt 8.6 KB
regression-models/01_week-1-least-squares-and-linear-regression/02_introduction-to-regression-and-least-squares/03_introduction-basic-least-squares.en.srt 8.6 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/01_multivariable-regression/02_multivariable-regression-part-i.en.txt 8.6 KB
data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/04_shiny-1-2.en.srt 8.6 KB
statistical-inference/03_week-intervals-testing-pvalues/02_module-9-hypothesis-testing/04_09-03-t-tests.en.srt 8.6 KB
data-products/05_swirl-and-course-project/01_swirl-courses/02_swirl-1-2.en.srt 8.5 KB
regression-models/02_week-2-linear-regression-multivariable-regression/01_statistical-linear-regression-models/04_linear-regression-for-prediction.en.txt 8.4 KB
data-products/03_r-markdown-and-leaflet/03_leaflet/02_leaflet-1-2.en.srt 8.4 KB
statistical-inference/01_week-1-probability-expected-values/04_module-4-expected-values/02_04-01-expected-values.en.srt 8.3 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/03_module-13-resampling/04_13-03-notes-on-the-bootstrap.en.txt 8.2 KB
data-products/02_shiny-googlevis-and-plotly/02_shiny-part-2/02_shiny-2-2.en.txt 8.1 KB
data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/07_shiny-1-5.en.txt 8.1 KB
data-products/04_r-packages/01_r-packages/02_r-packages-part-1.en.txt 8.1 KB
statistical-inference/03_week-intervals-testing-pvalues/03_module-10-p-values/03_10-02-pvalue-further-examples.en.srt 8.0 KB
data-products/02_shiny-googlevis-and-plotly/03_shiny-gadgets/01_shiny-gadgets-1-1.en.srt 7.9 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/03_multivariable-regression-examples-part-iii.en.srt 7.9 KB
data-products/01_course-overview/01_welcome/03_syllabus_instructions.html 7.9 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/04_residuals-again/03_residuals-and-diagnostics-part-ii.en.txt 7.9 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/08_in-and-out-of-sample-errors.en.txt 7.8 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/03_task-1-getting-and-cleaning-the-data/03_regular-expressions-part-1-optional.en.srt 7.8 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/06_syllabus_instructions.html 7.7 KB
statistical-inference/03_week-intervals-testing-pvalues/01_module-8-confidence-intervals/02_08-01-t-confidence-intervals.en.txt 7.7 KB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/03_training-options.en.txt 7.7 KB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/01_week-4/03_forecasting.en.txt 7.7 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/03_module-7-asymptotics/03_07-02-asymptotics-and-the-clt.en.txt 7.7 KB
regression-models/02_week-2-linear-regression-multivariable-regression/02_residuals/02_residuals.en.srt 7.6 KB
data-products/02_shiny-googlevis-and-plotly/05_plotly/03_plotly-1-3.en.srt 7.6 KB
data-products/02_shiny-googlevis-and-plotly/04_googlevis/01_googlevis-1-1.en.srt 7.5 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/03_module-13-resampling/05_13-04-permutation-tests.en.txt 7.5 KB
regression-models/02_week-2-linear-regression-multivariable-regression/03_inference-in-regression/02_inference-in-regression.en.srt 7.4 KB
statistical-inference/01_week-1-probability-expected-values/06_week-1-quiz/01_quiz-1_exam.html 7.4 KB
statistical-inference/01_week-1-probability-expected-values/04_module-4-expected-values/04_04-03-expected-values-for-pdfs.en.txt 7.4 KB
statistical-inference/01_week-1-probability-expected-values/03_module-3-conditional-probability/03_03-02-bayes-rule.en.txt 7.4 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/03_task-1-getting-and-cleaning-the-data/04_regular-expressions-part-2-optional.en.txt 7.4 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/01_multivariable-regression/04_multivariable-regression-continued.en.txt 7.3 KB
statistical-inference/01_week-1-probability-expected-values/02_module-2-probability/03_02-02-probability-mass-functions.en.txt 7.3 KB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/04_boosting.en.txt 7.2 KB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/03_random-forests.en.txt 7.2 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/05_week-2-quiz/01_quiz-2_exam.html 7.2 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/04_residuals-again/04_residuals-and-diagnostics-part-iii.en.txt 7.2 KB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/01_week-4/04_unsupervised-prediction.en.srt 7.2 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/02_logistic-regression/04_logistic-regression-part-iii.en.txt 7.1 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/03_project-overview_NLPCourseraSlides.html 7.1 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/13_what-data-should-you-use.en.txt 7.1 KB
data-products/03_r-markdown-and-leaflet/01_r-markdown/01_r-markdown-1-1.en.srt 7.0 KB
statistical-inference/01_week-1-probability-expected-values/01_module-1-introduction/01_introductory-video.en.txt 6.9 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/01_module-5-variability/02_05-01-introduction-to-variability.en.srt 6.9 KB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/01_caret-package.en.txt 6.9 KB
regression-models/01_week-1-least-squares-and-linear-regression/03_linear-least-squares/04_linear-least-squares-coding-example.en.txt 6.8 KB
regression-models/01_week-1-least-squares-and-linear-regression/03_linear-least-squares/02_notation-and-background.en.txt 6.8 KB
regression-models/02_week-2-linear-regression-multivariable-regression/02_residuals/04_residual-variance.en.txt 6.8 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/01_module-5-variability/04_05-03-standard-error-of-the-mean.en.txt 6.7 KB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/01_week-4/02_combining-predictors.en.txt 6.7 KB
data-products/02_shiny-googlevis-and-plotly/04_googlevis/02_googlevis-1-2.en.txt 6.7 KB
data-products/02_shiny-googlevis-and-plotly/05_plotly/04_plotly-1-4.en.srt 6.7 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/03_syllabus_instructions.html 6.7 KB
statistical-inference/03_week-intervals-testing-pvalues/03_module-10-p-values/02_10-01-pvalues.en.txt 6.6 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/05_course-project/01_statistical-inference-course-project_peer_assignment_instructions.html 6.6 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/03_module-7-asymptotics/02_07-01-asymptotics-and-lln.en.srt 6.5 KB
statistical-inference/03_week-intervals-testing-pvalues/02_module-9-hypothesis-testing/03_09-02-example-of-choosing-a-rejection-region.en.srt 6.4 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/02_model-selection-part-i.en.txt 6.4 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/01_module-11-power/02_11-01-power.en.srt 6.4 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/04_residuals-again/02_residuals-and-diagnostics-part-i.en.srt 6.3 KB
statistical-inference/01_week-1-probability-expected-values/02_module-2-probability/02_02-01-introduction-to-probability.en.txt 6.3 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/01_module-11-power/04_11-03-notes-on-power.en.srt 6.2 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/01_module-11-power/05_11-04-t-test-power.en.txt 6.2 KB
data-products/05_swirl-and-course-project/01_swirl-courses/03_swirl-1-3.en.srt 6.2 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/03_module-13-resampling/02_13-01-bootstrapping.en.txt 6.2 KB
regression-models/01_week-1-least-squares-and-linear-regression/03_linear-least-squares/05_technical-details-skip-if-you-d-like.en.txt 6.2 KB
statistical-inference/03_week-intervals-testing-pvalues/02_module-9-hypothesis-testing/02_09-01-hypothesis-testing.en.srt 6.2 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/04_multivariable-regression-examples-part-iv.en.txt 6.2 KB
data-products/02_shiny-googlevis-and-plotly/02_shiny-part-2/04_shiny-2-4.en.srt 6.1 KB
data-products/02_shiny-googlevis-and-plotly/03_shiny-gadgets/02_shiny-gadgets-1-2.en.srt 6.0 KB
data-products/03_r-markdown-and-leaflet/01_r-markdown/06_r-markdown-1-6.en.txt 6.0 KB
data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/05_shiny-1-3.en.srt 5.9 KB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/02_data-slicing.en.txt 5.9 KB
regression-models/02_week-2-linear-regression-multivariable-regression/03_inference-in-regression/03_coding-example.en.txt 5.8 KB
regression-models/01_week-1-least-squares-and-linear-regression/01_introduction/01_welcome-to-regression-models_instructions.html 5.8 KB
regression-models/01_week-1-least-squares-and-linear-regression/02_introduction-to-regression-and-least-squares/02_introduction-to-regression.en.txt 5.7 KB
data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/03_shiny-1-1.en.txt 5.6 KB
regression-models/01_week-1-least-squares-and-linear-regression/03_linear-least-squares/03_linear-least-squares.en.txt 5.5 KB
data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/06_shiny-1-4.en.txt 5.5 KB
data-products/03_r-markdown-and-leaflet/03_leaflet/06_leaflet-1-6.en.txt 5.5 KB
data-products/02_shiny-googlevis-and-plotly/02_shiny-part-2/06_shiny-2-6.en.txt 5.5 KB
data-products/02_shiny-googlevis-and-plotly/05_plotly/01_plotly-1-1.en.srt 5.5 KB
statistical-inference/03_week-intervals-testing-pvalues/02_module-9-hypothesis-testing/04_09-03-t-tests.en.txt 5.4 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/11_receiver-operating-characteristic.en.txt 5.4 KB
regression-models/01_week-1-least-squares-and-linear-regression/02_introduction-to-regression-and-least-squares/03_introduction-basic-least-squares.en.txt 5.4 KB
regression-models/02_week-2-linear-regression-multivariable-regression/01_statistical-linear-regression-models/03_interpreting-coefficients.en.srt 5.4 KB
data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/04_shiny-1-2.en.txt 5.4 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/02_module-6-distributions/04_06-03-poisson.en.txt 5.3 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/01_module-5-variability/05_05-04-variance-data-example.en.srt 5.3 KB
data-products/01_course-overview/01_welcome/04_welcome_instructions.html 5.3 KB
statistical-inference/01_week-1-probability-expected-values/04_module-4-expected-values/02_04-01-expected-values.en.txt 5.3 KB
data-products/02_shiny-googlevis-and-plotly/03_shiny-gadgets/03_shiny-gadgets-1-3.en.txt 5.3 KB
data-products/05_swirl-and-course-project/01_swirl-courses/02_swirl-1-2.en.txt 5.2 KB
data-products/03_r-markdown-and-leaflet/03_leaflet/02_leaflet-1-2.en.txt 5.2 KB
data-products/02_shiny-googlevis-and-plotly/05_plotly/06_plotly-1-6.en.srt 5.2 KB
statistical-inference/03_week-intervals-testing-pvalues/03_module-10-p-values/03_10-02-pvalue-further-examples.en.txt 5.2 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/03_project-overview_instructions.html 5.1 KB
statistical-inference/01_week-1-probability-expected-values/03_module-3-conditional-probability/02_03-01-conditional-probability.en.srt 5.1 KB
data-products/02_shiny-googlevis-and-plotly/05_plotly/05_plotly-1-5.en.srt 5.1 KB
data-products/03_r-markdown-and-leaflet/01_r-markdown/05_r-markdown-1-5.en.srt 5.0 KB
data-science-project/02_exploratory-data-analysis-and-modeling/02_task-3-modeling/02_task-3-modeling_instructions.html 4.9 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/03_task-1-getting-and-cleaning-the-data/03_regular-expressions-part-1-optional.en.txt 4.9 KB
data-products/02_shiny-googlevis-and-plotly/02_shiny-part-2/01_shiny-2-1.en.srt 4.9 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/03_multivariable-regression-examples-part-iii.en.txt 4.9 KB
data-products/03_r-markdown-and-leaflet/03_leaflet/01_leaflet-1-1.en.srt 4.9 KB
data-products/02_shiny-googlevis-and-plotly/03_shiny-gadgets/01_shiny-gadgets-1-1.en.txt 4.8 KB
regression-models/02_week-2-linear-regression-multivariable-regression/02_residuals/02_residuals.en.txt 4.8 KB
regression-models/02_week-2-linear-regression-multivariable-regression/03_inference-in-regression/02_inference-in-regression.en.txt 4.8 KB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/02_course-project/01_course-project-instructions-read-first_instructions.html 4.7 KB
statistical-inference/03_week-intervals-testing-pvalues/01_module-8-confidence-intervals/03_08-02-t-confidence-intervals-example.en.srt 4.6 KB
data-products/02_shiny-googlevis-and-plotly/05_plotly/03_plotly-1-3.en.txt 4.6 KB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/01_week-4/04_unsupervised-prediction.en.txt 4.5 KB
data-products/02_shiny-googlevis-and-plotly/02_shiny-part-2/05_shiny-2-5.en.srt 4.5 KB
data-products/03_r-markdown-and-leaflet/01_r-markdown/01_r-markdown-1-1.en.txt 4.5 KB
statistical-inference/03_week-intervals-testing-pvalues/04_knitr/02_just-enough-knitr-to-do-the-project.en.srt 4.5 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/01_module-5-variability/02_05-01-introduction-to-variability.en.txt 4.5 KB
data-products/02_shiny-googlevis-and-plotly/04_googlevis/01_googlevis-1-1.en.txt 4.5 KB
statistical-inference/01_week-1-probability-expected-values/03_module-3-conditional-probability/04_03-03-independence.en.srt 4.4 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/03_module-13-resampling/03_13-02-bootstrapping-example.en.srt 4.4 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/02_module-6-distributions/02_06-01-binomial-distrubtion.en.srt 4.4 KB
statistical-inference/01_week-1-probability-expected-values/05_practical-r-exercises-in-swirl/01_practical-r-exercises-in-swirl-1_instructions.html 4.3 KB
statistical-inference/03_week-intervals-testing-pvalues/01_module-8-confidence-intervals/05_08-04-a-note-on-unequal-variance.en.srt 4.3 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/03_task-1-getting-and-cleaning-the-data/02_task-1-getting-and-cleaning-the-data_instructions.html 4.3 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/02_task-0-understanding-the-problem/02_task-0-understanding-the-problem_instructions.html 4.2 KB
data-products/02_shiny-googlevis-and-plotly/05_plotly/04_plotly-1-4.en.txt 4.2 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/03_module-7-asymptotics/02_07-01-asymptotics-and-lln.en.txt 4.2 KB
data-products/03_r-markdown-and-leaflet/03_leaflet/04_leaflet-1-4.en.srt 4.1 KB
regression-models/02_week-2-linear-regression-multivariable-regression/04_for-the-project/02_really-really-quick-intro-to-knitr.en.srt 4.1 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/01_module-5-variability/03_05-02-variance-simulation-examples.en.srt 4.1 KB
statistical-inference/03_week-intervals-testing-pvalues/02_module-9-hypothesis-testing/03_09-02-example-of-choosing-a-rejection-region.en.txt 4.1 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/02_task-0-understanding-the-problem/03_about-the-corpora_instructions.html 4.1 KB
regression-models/02_week-2-linear-regression-multivariable-regression/01_statistical-linear-regression-models/02_statistical-linear-regression-models.en.srt 4.0 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/01_module-11-power/02_11-01-power.en.txt 4.0 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/02_logistic-regression/03_logistic-regression-part-ii.en.srt 4.0 KB
data-products/02_shiny-googlevis-and-plotly/02_shiny-part-2/03_shiny-2-3.en.srt 4.0 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/01_module-11-power/04_11-03-notes-on-power.en.txt 4.0 KB
regression-models/01_week-1-least-squares-and-linear-regression/05_practical-r-exercises-in-swirl/01_practical-r-exercises-in-swirl-part-1_instructions.html 3.9 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/04_residuals-again/02_residuals-and-diagnostics-part-i.en.txt 3.9 KB
statistical-inference/03_week-intervals-testing-pvalues/02_module-9-hypothesis-testing/02_09-01-hypothesis-testing.en.txt 3.9 KB
data-products/02_shiny-googlevis-and-plotly/02_shiny-part-2/04_shiny-2-4.en.txt 3.9 KB
data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/05_shiny-1-3.en.txt 3.8 KB
data-products/02_shiny-googlevis-and-plotly/03_shiny-gadgets/02_shiny-gadgets-1-2.en.txt 3.8 KB
data-products/05_swirl-and-course-project/01_swirl-courses/03_swirl-1-3.en.txt 3.7 KB
data-science-project/07_final-project-submission-and-evaluation/01_final-project-submission/01_congratulations.en.srt 3.7 KB
data-products/03_r-markdown-and-leaflet/01_r-markdown/03_r-markdown-1-3.en.srt 3.5 KB
data-products/02_shiny-googlevis-and-plotly/05_plotly/01_plotly-1-1.en.txt 3.4 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/01_module-5-variability/05_05-04-variance-data-example.en.txt 3.4 KB
regression-models/01_week-1-least-squares-and-linear-regression/02_introduction-to-regression-and-least-squares/05_technical-details-skip-if-you-d-like.en.srt 3.4 KB
regression-models/02_week-2-linear-regression-multivariable-regression/01_statistical-linear-regression-models/03_interpreting-coefficients.en.txt 3.3 KB
data-products/03_r-markdown-and-leaflet/01_r-markdown/02_r-markdown-1-2.en.srt 3.3 KB
statistical-inference/01_week-1-probability-expected-values/03_module-3-conditional-probability/02_03-01-conditional-probability.en.txt 3.2 KB
data-products/02_shiny-googlevis-and-plotly/05_plotly/05_plotly-1-5.en.txt 3.2 KB
statistical-inference/01_week-1-probability-expected-values/04_module-4-expected-values/03_04-02-expected-values-simple-examples.en.srt 3.2 KB
data-products/02_shiny-googlevis-and-plotly/05_plotly/06_plotly-1-6.en.txt 3.2 KB
data-products/02_shiny-googlevis-and-plotly/02_shiny-part-2/01_shiny-2-1.en.txt 3.1 KB
statistical-inference/01_week-1-probability-expected-values/01_module-1-introduction/03_some-introductory-comments_instructions.html 3.1 KB
data-products/03_r-markdown-and-leaflet/03_leaflet/01_leaflet-1-1.en.txt 3.0 KB
data-products/02_shiny-googlevis-and-plotly/05_plotly/02_plotly-1-2.en.srt 3.0 KB
data-products/03_r-markdown-and-leaflet/01_r-markdown/05_r-markdown-1-5.en.txt 3.0 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/01_week-4-new-videos/01_glms_instructions.html 3.0 KB
data-products/03_r-markdown-and-leaflet/03_leaflet/03_leaflet-1-3.en.srt 2.9 KB
data-products/03_r-markdown-and-leaflet/03_leaflet/05_leaflet-1-5.en.srt 2.9 KB
statistical-inference/03_week-intervals-testing-pvalues/01_module-8-confidence-intervals/03_08-02-t-confidence-intervals-example.en.txt 2.9 KB
data-products/02_shiny-googlevis-and-plotly/02_shiny-part-2/05_shiny-2-5.en.txt 2.8 KB
statistical-inference/01_week-1-probability-expected-values/03_module-3-conditional-probability/04_03-03-independence.en.txt 2.8 KB
statistical-inference/03_week-intervals-testing-pvalues/01_module-8-confidence-intervals/05_08-04-a-note-on-unequal-variance.en.txt 2.8 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/02_module-6-distributions/02_06-01-binomial-distrubtion.en.txt 2.8 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/03_module-13-resampling/03_13-02-bootstrapping-example.en.txt 2.8 KB
data-products/05_swirl-and-course-project/01_swirl-courses/01_swirl-1-1.en.srt 2.7 KB
data-products/03_r-markdown-and-leaflet/03_leaflet/04_leaflet-1-4.en.txt 2.7 KB
data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/01_shiny_instructions.html 2.7 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/01_welcome-to-the-capstone-project.en.srt 2.7 KB
statistical-inference/03_week-intervals-testing-pvalues/04_knitr/02_just-enough-knitr-to-do-the-project.en.txt 2.6 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/01_module-5-variability/03_05-02-variance-simulation-examples.en.txt 2.6 KB
regression-models/02_week-2-linear-regression-multivariable-regression/01_statistical-linear-regression-models/02_statistical-linear-regression-models.en.txt 2.6 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/03_adjustment/01_adjustment_instructions.html 2.5 KB
data-science-project/02_exploratory-data-analysis-and-modeling/01_task-2-exploratory-data-analysis/02_task-2-exploratory-data-analysis_instructions.html 2.5 KB
data-products/01_course-overview/01_welcome/06_community-site_instructions.html 2.5 KB
statistical-inference/01_week-1-probability-expected-values/01_module-1-introduction/08_homework-problems_instructions.html 2.4 KB
regression-models/02_week-2-linear-regression-multivariable-regression/04_for-the-project/02_really-really-quick-intro-to-knitr.en.txt 2.4 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/02_logistic-regression/03_logistic-regression-part-ii.en.txt 2.4 KB
data-science-project/02_exploratory-data-analysis-and-modeling/01_task-2-exploratory-data-analysis/01_introduction-to-task-2-exploratory-data-analysis.en.srt 2.4 KB
data-products/02_shiny-googlevis-and-plotly/02_shiny-part-2/03_shiny-2-3.en.txt 2.3 KB
data-science-project/03_prediction-model/01_task-4-prediction-model/01_introduction-to-task-4-prediction-model.en.srt 2.3 KB
data-science-project/06_slide-deck/01_task-7-slide-deck/02_task-7-slide-deck_instructions.html 2.3 KB
data-products/02_shiny-googlevis-and-plotly/05_plotly/08_plotly-1-8.en.srt 2.2 KB
data-science-project/04_creative-exploration/01_task-5-creative-exploration/02_task-5-creative-exploration_instructions.html 2.2 KB
data-science-project/03_prediction-model/01_task-4-prediction-model/02_task-4-prediction-model_instructions.html 2.2 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/05_you-are-a-data-scientist-now.en.srt 2.2 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/02_task-0-understanding-the-problem/01_introduction-to-task-0-understanding-the-problem.en.srt 2.2 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/01_welcome-to-practical-machine-learning_instructions.html 2.2 KB
data-science-project/05_data-product/01_task-6-data-product/02_task-6-data-product_instructions.html 2.2 KB
data-science-project/07_final-project-submission-and-evaluation/01_final-project-submission/01_congratulations.en.txt 2.1 KB
data-products/01_course-overview/01_welcome/02_a-note-of-explanation_instructions.html 2.1 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/02_a-note-of-explanation_instructions.html 2.1 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/02_a-note-of-explanation_instructions.html 2.1 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/03_task-1-getting-and-cleaning-the-data/01_introduction-to-task-1-getting-and-cleaning-the-data.en.srt 2.1 KB
statistical-inference/01_week-1-probability-expected-values/01_module-1-introduction/02_welcome-to-statistical-inference_instructions.html 2.1 KB
regression-models/01_week-1-least-squares-and-linear-regression/02_introduction-to-regression-and-least-squares/05_technical-details-skip-if-you-d-like.en.txt 2.1 KB
regression-models/01_week-1-least-squares-and-linear-regression/01_introduction/05_data-science-specialization-community-site_instructions.html 2.1 KB
statistical-inference/01_week-1-probability-expected-values/01_module-1-introduction/07_data-science-specialization-community-site_instructions.html 2.1 KB
data-products/03_r-markdown-and-leaflet/01_r-markdown/02_r-markdown-1-2.en.txt 2.0 KB
data-products/01_course-overview/01_welcome/01_welcome-to-developing-data-products.en.srt 2.0 KB
data-products/03_r-markdown-and-leaflet/02_sharing-r-markdown-documents/01_three-ways-to-share-r-markdown-products_instructions.html 2.0 KB
data-products/03_r-markdown-and-leaflet/01_r-markdown/03_r-markdown-1-3.en.txt 2.0 KB
data-science-project/02_exploratory-data-analysis-and-modeling/02_task-3-modeling/01_introduction-to-task-3-modeling.en.srt 2.0 KB
data-products/01_course-overview/01_welcome/07_r-and-rstudio-links-tutorials_instructions.html 1.9 KB
regression-models/01_week-1-least-squares-and-linear-regression/04_regression-to-the-mean/01_regression-to-the-mean_instructions.html 1.9 KB
statistical-inference/01_week-1-probability-expected-values/04_module-4-expected-values/03_04-02-expected-values-simple-examples.en.txt 1.9 KB
data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/02_shinyapps-io-project_instructions.html 1.9 KB
data-products/02_shiny-googlevis-and-plotly/05_plotly/02_plotly-1-2.en.txt 1.9 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/03_module-7-asymptotics/01_asymptotics_instructions.html 1.9 KB
data-science-project/05_data-product/01_task-6-data-product/01_introduction-to-task-6-data-product.en.srt 1.9 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/04_welcome-from-swiftkey.en.srt 1.8 KB
statistical-inference/03_week-intervals-testing-pvalues/03_module-10-p-values/01_p-values_instructions.html 1.8 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/02_logistic-regression/01_logistic-regression_instructions.html 1.8 KB
data-products/03_r-markdown-and-leaflet/03_leaflet/03_leaflet-1-3.en.txt 1.7 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/01_module-5-variability/01_variability_instructions.html 1.7 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/01_module-11-power/01_power_instructions.html 1.7 KB
data-products/03_r-markdown-and-leaflet/03_leaflet/05_leaflet-1-5.en.txt 1.7 KB
data-science-project/04_creative-exploration/01_task-5-creative-exploration/01_introduction-to-task-5-creative-exploration.en.srt 1.7 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/01_welcome-to-the-capstone-project.en.txt 1.7 KB
regression-models/01_week-1-least-squares-and-linear-regression/02_introduction-to-regression-and-least-squares/01_regression_instructions.html 1.7 KB
data-products/05_swirl-and-course-project/01_swirl-courses/01_swirl-1-1.en.txt 1.6 KB
data-science-project/02_exploratory-data-analysis-and-modeling/01_task-2-exploratory-data-analysis/01_introduction-to-task-2-exploratory-data-analysis.en.txt 1.6 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/03_poisson-regression/01_count-data_instructions.html 1.6 KB
data-products/02_shiny-googlevis-and-plotly/05_plotly/08_plotly-1-8.en.txt 1.5 KB
statistical-inference/01_week-1-probability-expected-values/02_module-2-probability/01_probability_instructions.html 1.5 KB
regression-models/02_week-2-linear-regression-multivariable-regression/03_inference-in-regression/01_inference-in-regression_instructions.html 1.4 KB
data-science-project/03_prediction-model/01_task-4-prediction-model/01_introduction-to-task-4-prediction-model.en.txt 1.4 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/05_you-are-a-data-scientist-now.en.txt 1.4 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/01_model-selection_instructions.html 1.4 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/02_task-0-understanding-the-problem/01_introduction-to-task-0-understanding-the-problem.en.txt 1.4 KB
data-science-project/06_slide-deck/01_task-7-slide-deck/01_introduction-to-task-7-slide-deck.en.srt 1.4 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/03_task-1-getting-and-cleaning-the-data/01_introduction-to-task-1-getting-and-cleaning-the-data.en.txt 1.3 KB
regression-models/02_week-2-linear-regression-multivariable-regression/01_statistical-linear-regression-models/01_statistical-linear-regression-models_instructions.html 1.3 KB
statistical-inference/03_week-intervals-testing-pvalues/01_module-8-confidence-intervals/01_confidence-intervals_instructions.html 1.3 KB
statistical-inference/01_week-1-probability-expected-values/03_module-3-conditional-probability/01_conditional-probability_instructions.html 1.3 KB
data-products/01_course-overview/01_welcome/01_welcome-to-developing-data-products.en.txt 1.3 KB
regression-models/01_week-1-least-squares-and-linear-regression/03_linear-least-squares/01_least-squares_instructions.html 1.3 KB
regression-models/01_week-1-least-squares-and-linear-regression/02_introduction-to-regression-and-least-squares/04_technical-details_instructions.html 1.3 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/05_practical-r-exercises-in-swirl/01_practical-r-exercises-in-swirl-part-4_instructions.html 1.3 KB
data-products/05_swirl-and-course-project/02_share-your-feedback/01_post-course-survey_instructions.html 1.3 KB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/03_share-your-feedback/01_post-course-survey_instructions.html 1.3 KB
statistical-inference/01_week-1-probability-expected-values/04_module-4-expected-values/01_expected-values_instructions.html 1.3 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/01_multivariable-regression/01_multivariable-regression_instructions.html 1.3 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/06_practical-r-exercises-in-swirl/01_practical-r-exercises-in-swirl-part-3_instructions.html 1.2 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/06_share-your-feedback/01_post-course-survey_instructions.html 1.2 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/07_share-your-feedback/01_post-course-survey_instructions.html 1.2 KB
regression-models/02_week-2-linear-regression-multivariable-regression/02_residuals/01_residuals_instructions.html 1.2 KB
data-science-project/02_exploratory-data-analysis-and-modeling/02_task-3-modeling/01_introduction-to-task-3-modeling.en.txt 1.2 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/03_module-13-resampling/01_resampling_instructions.html 1.2 KB
statistical-inference/03_week-intervals-testing-pvalues/05_practical-r-exercises-in-swirl/01_practical-r-exercises-in-swirl-part-3_instructions.html 1.2 KB
regression-models/02_week-2-linear-regression-multivariable-regression/05_practical-r-exercises-in-swirl/01_practical-r-exercises-in-swirl-part-2_instructions.html 1.2 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/04_practical-r-exercises-in-swirl/01_practical-r-exercises-in-swirl-part-2_instructions.html 1.2 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/06_practical-r-exercises-in-swirl/01_practical-r-exercises-in-swirl-part-4_instructions.html 1.2 KB
statistical-inference/01_week-1-probability-expected-values/05_practical-r-exercises-in-swirl/02_swirl-lesson-1-introduction_instructions.html 1.2 KB
statistical-inference/01_week-1-probability-expected-values/05_practical-r-exercises-in-swirl/03_swirl-lesson-2-probability1_instructions.html 1.2 KB
statistical-inference/01_week-1-probability-expected-values/05_practical-r-exercises-in-swirl/04_swirl-lesson-3-probability2_instructions.html 1.2 KB
statistical-inference/01_week-1-probability-expected-values/05_practical-r-exercises-in-swirl/05_swirl-lesson-4-conditionalprobability_instructions.html 1.2 KB
statistical-inference/01_week-1-probability-expected-values/05_practical-r-exercises-in-swirl/06_swirl-lesson-5-expectations_instructions.html 1.2 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/04_practical-r-exercises-in-swirl/02_swirl-lesson-1-variance_instructions.html 1.2 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/04_practical-r-exercises-in-swirl/03_swirl-lesson-2-commondistros_instructions.html 1.2 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/04_practical-r-exercises-in-swirl/04_swirl-lesson-3-asymptotics_instructions.html 1.2 KB
statistical-inference/03_week-intervals-testing-pvalues/05_practical-r-exercises-in-swirl/02_swirl-lesson-1-t-confidence-intervals_instructions.html 1.2 KB
statistical-inference/03_week-intervals-testing-pvalues/05_practical-r-exercises-in-swirl/03_swirl-lesson-2-hypothesis-testing_instructions.html 1.2 KB
statistical-inference/03_week-intervals-testing-pvalues/05_practical-r-exercises-in-swirl/04_swirl-lesson-3-p-values_instructions.html 1.2 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/06_practical-r-exercises-in-swirl/02_swirl-lesson-1-power_instructions.html 1.2 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/06_practical-r-exercises-in-swirl/03_swirl-lesson-2-multiple-testing_instructions.html 1.2 KB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/06_practical-r-exercises-in-swirl/04_swirl-lesson-3-resampling_instructions.html 1.2 KB
data-products/04_r-packages/01_r-packages/01_r-packages_instructions.html 1.2 KB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/04_pre-course-survey_instructions.html 1.2 KB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/04_residuals-again/01_residuals_instructions.html 1.2 KB
data-science-project/05_data-product/01_task-6-data-product/01_introduction-to-task-6-data-product.en.txt 1.2 KB
regression-models/01_week-1-least-squares-and-linear-regression/01_introduction/04_pre-course-survey_instructions.html 1.1 KB
statistical-inference/01_week-1-probability-expected-values/01_module-1-introduction/04_pre-course-survey_instructions.html 1.1 KB
statistical-inference/03_week-intervals-testing-pvalues/04_knitr/01_knitr_instructions.html 1.1 KB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/04_welcome-from-swiftkey.en.txt 1.1 KB
statistical-inference/03_week-intervals-testing-pvalues/02_module-9-hypothesis-testing/01_hypothesis-testing_instructions.html 1.1 KB
statistical-inference/02_week-2-variability-distribution-asymptotics/02_module-6-distributions/01_distributions_instructions.html 1.1 KB
regression-models/02_week-2-linear-regression-multivariable-regression/04_for-the-project/01_looking-ahead-to-the-project_instructions.html 1.1 KB
data-products/03_r-markdown-and-leaflet/01_r-markdown/04_r-markdown-1-4.en.srt 1.1 KB
data-science-project/04_creative-exploration/01_task-5-creative-exploration/01_introduction-to-task-5-creative-exploration.en.txt 1.1 KB
data-products/02_shiny-googlevis-and-plotly/05_plotly/07_plotly-1-7.en.srt 1.1 KB
regression-models/04_week-4-logistic-regression-and-poisson-regression/04_hodgepodge/01_mishmash_instructions.html 1.0 KB
data-science-project/06_slide-deck/01_task-7-slide-deck/01_introduction-to-task-7-slide-deck.en.txt 890 bytes
data-products/02_shiny-googlevis-and-plotly/05_plotly/07_plotly-1-7.en.txt 713 bytes
data-products/03_r-markdown-and-leaflet/01_r-markdown/04_r-markdown-1-4.en.txt 591 bytes
0. Websites you may like/[CourserHub.com].url 123 bytes
Readme.txt 51 bytes

[CourserHub.com] Coursera - Data Science Statistics and Machine Learning Specialization

File List

Download Torrent

Related Resources

Copyright Infringement