[CourseClub.Me] Coursera – Machine Learning Specialization (Andrew Ng)

Creation Time	Oct. 8, 2023, 6:55 a.m.
Last Access Time	Nov. 22, 2024, 6:35 p.m.
File Size	1.6 GB
Keywords	Me CourseClub Coursera Andrew Ng Machine – Learning Specialization
Total Requests	62
Total Files	639
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Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/03_machine-learning-development-process/03_adding-data.mp4 32.7 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/04_anomaly-detection/06_choosing-what-features-to-use.mp4 31.9 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/01_collaborative-filtering/03_collaborative-filtering-algorithm.mp4 31.0 MB
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/03_regression-model/04_cost-function-intuition.mp4 29.6 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/02_clustering/04_optimization-objective.mp4 29.5 MB
Coursera - Advanced Learning Algorithms/01_neural-networks/01_neural-networks-intuition/03_demand-prediction.mp4 29.5 MB
Coursera - Advanced Learning Algorithms/04_decision-trees/01_decision-trees/02_learning-process.mp4 29.0 MB
Coursera - Advanced Learning Algorithms/01_neural-networks/05_speculations-on-artificial-general-intelligence-agi/01_is-there-a-path-to-agi.mp4 28.1 MB
Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/02_bias-and-variance/04_learning-curves.mp4 28.1 MB
Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/02_bias-and-variance/05_deciding-what-to-try-next-revisited.mp4 28.0 MB
Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/02_bias-and-variance/06_bias-variance-and-neural-networks.mp4 26.9 MB
Coursera - Advanced Learning Algorithms/01_neural-networks/01_neural-networks-intuition/02_neurons-and-the-brain.mp4 26.9 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/03_state-action-value-function/03_bellman-equations.mp4 26.7 MB
Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/04_skewed-datasets-optional/02_trading-off-precision-and-recall.mp4 26.6 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/04_anomaly-detection/01_finding-unusual-events.mp4 25.7 MB
Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/03_machine-learning-development-process/06_fairness-bias-and-ethics.mp4 25.3 MB
Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/02_bias-and-variance/02_regularization-and-bias-variance.mp4 25.2 MB
Coursera - Advanced Learning Algorithms/01_neural-networks/03_tensorflow-implementation/02_data-in-tensorflow.mp4 24.8 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/05_content-based-filtering/04_ethical-use-of-recommender-systems.mp4 24.8 MB
Coursera - Advanced Learning Algorithms/01_neural-networks/03_tensorflow-implementation/03_building-a-neural-network.mp4 24.4 MB
Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/02_bias-and-variance/01_diagnosing-bias-and-variance.mp4 24.1 MB
Coursera - Advanced Learning Algorithms/02_neural-network-training/01_neural-network-training/02_training-details.mp4 24.1 MB
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/04_the-problem-of-overfitting/01_the-problem-of-overfitting.mp4 24.0 MB
Coursera - Advanced Learning Algorithms/04_decision-trees/02_decision-tree-learning/02_choosing-a-split-information-gain.mp4 23.8 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/01_collaborative-filtering/02_using-per-item-features.mp4 23.7 MB
Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/01_advice-for-applying-machine-learning/02_evaluating-a-model.mp4 23.6 MB
Coursera - Advanced Learning Algorithms/02_neural-network-training/02_activation-functions/02_choosing-activation-functions.mp4 23.4 MB
Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/04_skewed-datasets-optional/01_error-metrics-for-skewed-datasets.mp4 22.6 MB
Coursera - Advanced Learning Algorithms/02_neural-network-training/04_additional-neural-network-concepts/02_additional-layer-types.mp4 22.1 MB
Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/02_bias-and-variance/03_establishing-a-baseline-level-of-performance.mp4 21.9 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/04_anomaly-detection/03_anomaly-detection-algorithm.mp4 21.5 MB
Coursera - Advanced Learning Algorithms/01_neural-networks/04_neural-network-implementation-in-python/02_general-implementation-of-forward-propagation.mp4 21.3 MB
Coursera - Advanced Learning Algorithms/04_decision-trees/03_tree-ensembles/04_xgboost.mp4 21.1 MB
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/01_classification-with-logistic-regression/01_motivations.mp4 21.0 MB
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/04_the-problem-of-overfitting/05_regularized-logistic-regression.mp4 20.8 MB
Coursera - Advanced Learning Algorithms/02_neural-network-training/03_multiclass-classification/02_softmax.mp4 20.7 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/04_anomaly-detection/02_gaussian-normal-distribution.mp4 20.6 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/01_collaborative-filtering/01_making-recommendations.mp4 20.4 MB
Coursera - Advanced Learning Algorithms/01_neural-networks/02_neural-network-model/01_neural-network-layer.mp4 20.4 MB
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/04_the-problem-of-overfitting/04_regularized-linear-regression.mp4 19.8 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/02_clustering/03_k-means-algorithm.mp4 19.8 MB
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/01_classification-with-logistic-regression/03_decision-boundary.mp4 18.9 MB
Coursera - Advanced Learning Algorithms/04_decision-trees/02_decision-tree-learning/06_regression-trees-optional.mp4 18.9 MB
Coursera - Advanced Learning Algorithms/01_neural-networks/06_vectorization-optional/03_matrix-multiplication-rules.mp4 18.5 MB
Coursera - Advanced Learning Algorithms/04_decision-trees/02_decision-tree-learning/03_putting-it-together.mp4 18.4 MB
Coursera - Advanced Learning Algorithms/04_decision-trees/02_decision-tree-learning/01_measuring-purity.mp4 18.1 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/02_clustering/06_choosing-the-number-of-clusters.mp4 17.9 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/02_clustering/05_initializing-k-means.mp4 17.8 MB
Coursera - Advanced Learning Algorithms/02_neural-network-training/03_multiclass-classification/04_improved-implementation-of-softmax.mp4 17.8 MB
Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/03_machine-learning-development-process/02_error-analysis.mp4 17.5 MB
Coursera - Advanced Learning Algorithms/04_decision-trees/03_tree-ensembles/05_when-to-use-decision-trees.mp4 17.5 MB
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/03_regression-model/06_visualization-examples.mp4 17.2 MB
Coursera - Advanced Learning Algorithms/01_neural-networks/02_neural-network-model/02_more-complex-neural-networks.mp4 17.1 MB
Coursera - Advanced Learning Algorithms/01_neural-networks/03_tensorflow-implementation/01_inference-in-code.mp4 16.8 MB
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/03_regression-model/03_cost-function-formula.mp4 16.7 MB
Coursera - Advanced Learning Algorithms/01_neural-networks/06_vectorization-optional/02_matrix-multiplication.mp4 15.9 MB
Coursera - Advanced Learning Algorithms/04_decision-trees/02_decision-tree-learning/05_continuous-valued-features.mp4 15.9 MB
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/04_the-problem-of-overfitting/02_addressing-overfitting.mp4 15.7 MB
Coursera - Advanced Learning Algorithms/02_neural-network-training/04_additional-neural-network-concepts/01_advanced-optimization.mp4 15.6 MB
Coursera - Advanced Learning Algorithms/04_decision-trees/03_tree-ensembles/03_random-forest-algorithm.mp4 15.3 MB
Coursera - Advanced Learning Algorithms/02_neural-network-training/03_multiclass-classification/03_neural-network-with-softmax-output.mp4 15.0 MB
Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/03_machine-learning-development-process/01_iterative-loop-of-ml-development.mp4 14.8 MB
Coursera - Advanced Learning Algorithms/04_decision-trees/01_decision-trees/01_decision-tree-model.mp4 14.8 MB
Coursera - Advanced Learning Algorithms/01_neural-networks/01_neural-networks-intuition/04_example-recognizing-images.mp4 14.6 MB
Coursera - Advanced Learning Algorithms/04_decision-trees/03_tree-ensembles/02_sampling-with-replacement.mp4 14.3 MB
Coursera - Advanced Learning Algorithms/04_decision-trees/02_decision-tree-learning/04_using-one-hot-encoding-of-categorical-features.mp4 14.2 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/07_summary-and-thank-you/01_summary-and-thank-you.mp4 13.9 MB
Coursera - Advanced Learning Algorithms/01_neural-networks/06_vectorization-optional/01_how-neural-networks-are-implemented-efficiently.mp4 13.8 MB
Coursera - Advanced Learning Algorithms/01_neural-networks/06_vectorization-optional/04_matrix-multiplication-code.mp4 13.4 MB
Coursera - Advanced Learning Algorithms/02_neural-network-training/02_activation-functions/03_why-do-we-need-activation-functions.mp4 12.9 MB
Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/01_advice-for-applying-machine-learning/01_deciding-what-to-try-next.mp4 12.9 MB
Coursera - Advanced Learning Algorithms/02_neural-network-training/03_multiclass-classification/05_classification-with-multiple-outputs-optional.mp4 12.9 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/01_reinforcement-learning-introduction/02_mars-rover-example.mp4 12.7 MB
Coursera - Advanced Learning Algorithms/01_neural-networks/02_neural-network-model/03_inference-making-predictions-forward-propagation.mp4 12.6 MB
Coursera - Advanced Learning Algorithms/04_decision-trees/03_tree-ensembles/01_using-multiple-decision-trees.mp4 12.5 MB
Coursera - Advanced Learning Algorithms/01_neural-networks/04_neural-network-implementation-in-python/01_forward-prop-in-a-single-layer.mp4 12.4 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/02_clustering/02_k-means-intuition.mp4 12.4 MB
Coursera - Advanced Learning Algorithms/02_neural-network-training/02_activation-functions/01_alternatives-to-the-sigmoid-activation.mp4 12.0 MB
Coursera - Advanced Learning Algorithms/02_neural-network-training/01_neural-network-training/01_tensorflow-implementation.mp4 11.4 MB
Coursera - Advanced Learning Algorithms/01_neural-networks/01_neural-networks-intuition/01_welcome.mp4 10.6 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/05_continuous-state-spaces/02_lunar-lander.mp4 10.1 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/02_clustering/01_what-is-clustering.mp4 8.8 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/01_welcome-to-the-course/01_welcome.mp4 8.5 MB
Coursera - Advanced Learning Algorithms/02_neural-network-training/03_multiclass-classification/01_multiclass.mp4 8.4 MB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 2/images/C1_W2_Lab04_dot_notrans.gif 1.6 MB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 2/images/C1_W2_Lab06_ShortRun.PNG 363.2 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 2/images/C1_W2_Lab06_LongRun.PNG 301.9 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/images/C1W3_trainvpredict.PNG 273.1 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/.ipynb_checkpoints/C1_W3_Lab06_One_Vs_All_Soln-checkpoint.ipynb 272.0 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/.ipynb_checkpoints/C1_W3_Lab06_One_Vs_All_user-checkpoint.ipynb 271.7 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 2/images/C1_W2_Lab04_Figures And animations.pptx 232.7 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/.ipynb_checkpoints/C1_W3_Lab07_Overfitting_Soln-checkpoint.ipynb 151.7 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/.ipynb_checkpoints/C1_W3_Lab07_Overfitting_user-checkpoint.ipynb 151.7 KB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/05_practice-quiz-anomaly-detection/01_anomaly-detection_exam.html 145.4 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 1/betaversion/images/C1_W1_L3_S2_Lecture_b.png 133.3 KB
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Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/C1_W3_Lab01_Classification_Soln.ipynb 128.1 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 1/betaversion/images/C1_W1_Lab02_GoalOfRegression.PNG 105.1 KB
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Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 2/images/C1_W2_Lab07_FeatureEngLecture.PNG 93.2 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 1/betaversion/images/C1_W1_L4_S1_Lecture_GD.png 90.7 KB
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Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 2/images/C1_W2_L2_S1_Lecture_GD.png 90.7 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 1/betaversion/images/C1_W1_L3_S1_trainingdata.png 86.2 KB
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Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 2/images/C1_W2_L1_S1_trainingdata.png 86.2 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 1/betaversion/images/C1_W1_Lab03_lecture_learningrate.PNG 83.6 KB
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Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 2/images/C1_W2_Lab03_lecture_learningrate.PNG 83.6 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 1/betaversion/images/C1_W1_L3_S1_Lecture_b.png 82.8 KB
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Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 2/images/C1_W2_Lab06_learningrate.PNG 75.8 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 1/betaversion/images/C1_W1_L3_S1_model.png 75.6 KB
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Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 2/images/C1_W2_Lab06_featurescalingheader.PNG 68.5 KB
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Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 1/betaversion/images/C1_W1_Lab03_alpha_too_big.PNG 59.9 KB
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Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 2/C1_W2_Lab02_Multiple_Variable_Soln.ipynb 58.6 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 2/.ipynb_checkpoints/oldC1_W2_Lab02_Cost_function-checkpoint.ipynb 56.3 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/images/C1_W3_LinearCostRegularized.png 52.9 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/images/C1_W3_LinearGradientRegularized.png 52.6 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/images/C1_W3_SqErrorVsLogistic.png 52.1 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/images/C1_W3_LogisticGradientRegularized.png 50.0 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 1/C1_W1_Lab03_Model_Representation_Soln.ipynb 49.2 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/images/C1_W3_LogisticLoss_b.png 49.1 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/images/C1_W3_LogisticCostRegularized.png 46.6 KB
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Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/images/C1_W3_Classification.png 43.3 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/images/C1_W3_Logistic_gradient_descent.png 42.6 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/images/C1_W3_Overfitting_b.png 38.1 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/images/C1_W3_LogisticRegression.png 38.1 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 2/images/C1_W2_Lab06_contours.PNG 37.1 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 2/.ipynb_checkpoints/oldC1_W2_Lab01_Model_Representation-checkpoint.ipynb 35.7 KB
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Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/.ipynb_checkpoints/C1_W3_Lab03_Cost_Function_Soln-checkpoint.ipynb 35.3 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/images/C1_W3_LogisticLoss_c.png 34.9 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/.ipynb_checkpoints/C1_W3_Lab03_Cost_Function_user-checkpoint.ipynb 34.8 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/C1_W3_Lab03_Decision_Boundary_Soln.ipynb 34.7 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/.ipynb_checkpoints/C1_W3_Lab03_Cost_Function-checkpoint.ipynb 34.1 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/images/C1_W3_Overfitting_c.png 34.1 KB
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Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 1/betaversion/images/C1W1L1_Markdown.PNG 31.3 KB
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Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/.ipynb_checkpoints/C1_W3_Lab02_Decision_Boundary-checkpoint.ipynb 31.2 KB
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Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 2/.ipynb_checkpoints/C1_W2_Lab03_Gradient_descent-checkpoint.ipynb 28.0 KB
Coursera - Advanced Learning Algorithms/01_neural-networks/01_neural-networks-intuition/03_demand-prediction.en.srt 26.6 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 3/images/C1_W3_Lab07_overfitting.PNG 26.3 KB
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Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 2/C1_W2_Lab03_Feature_Scaling_and_Learning_Rate_Soln.ipynb 25.6 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 2/archive/C1_W2_Lab01_Python_Numpy_Vectorization_Soln-Copy1.ipynb 24.9 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 2/C1_W2_Lab01_Python_Numpy_Vectorization_Soln.ipynb 24.9 KB
Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 2/__pycache__/lab_utils_uni.cpython-37.pyc 24.5 KB
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Coursera - Supervised Machine Learning Regression and Classification 2022-6 Extras/Week 2/.ipynb_checkpoints/C1_W2_Lab02_Multiple_Variable_Soln-checkpoint.ipynb 23.6 KB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/04_anomaly-detection/06_choosing-what-features-to-use.en.srt 22.3 KB
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