Skillshare Data Science and Machine Learning with R Masterclass
File List
- 68-hands-on_exploratory_data_analysis.mkv 606.9 MB
- 66-linear_regression_a_simple_model.mkv 558.3 MB
- 64-data_preprocessing.mkv 459.2 MB
- 62-intro_to_machine_learning___part_2.mkv 446.9 MB
- 27-intermediate_r_section_intro.mkv 434.6 MB
- 49-web_scraping.mkv 389.7 MB
- 47-data_pivoting.mkv 365.1 MB
- 26-data_frames-tibbles.mkv 363.1 MB
- 53-single_variable_plots.mkv 341.9 MB
- 39-data_manipulation_in_r_section_intro.mkv 334.3 MB
- 44-the_mutate_verb.mkv 301.2 MB
- 70-linear_regression_a_real_model.mkv 269.6 MB
- 38-databases.mkv 257.7 MB
- 65-linear_regression_a_simple_model_intro.mkv 246.3 MB
- 25-data_frames_helper_functions.mkv 246.3 MB
- 13-data_types_and_structures_section_intro.mkv 245.7 MB
- 57-intro_to_r_markdown.mkv 239.4 MB
- 58-intro_to_r_shiny.mkv 232.5 MB
- 52-aesthetics_mappings.mkv 220.1 MB
- 67-exploratory_data_analysis_intro.mkv 219.6 MB
- 63-data_preprocessing_intro.mkv 219.4 MB
- 35-dates_and_times.mkv 217.3 MB
- 43-the_select_verb.mkv 213.6 MB
- 34-factors.mkv 199.7 MB
- 16-vectors_part_two.mkv 188.7 MB
- 42-the_filter_verb.mkv 188.4 MB
- 72-logistic_regression_in_r.mkv 186.4 MB
- 60-other_webapp_examples.mkv 179.7 MB
- 55-facets_layering_and_coordinate_systems.mkv 179.0 MB
- 22-working_with_lists.mkv 177.0 MB
- 46-the_summarize_verb.mkv 176.8 MB
- 23-introduction_to_data_frames.mkv 172.1 MB
- 54-two-variable_plots.mkv 170.6 MB
- 36-functional_programming.mkv 169.1 MB
- 37-data_importexport.mkv 164.5 MB
- 48-string_manipulation.mkv 152.8 MB
- 21-creating_matrices.mkv 152.3 MB
- 24-creating_data_frames.mkv 146.8 MB
- 71-logistic_regression_intro.mkv 142.5 MB
- 59-a_basic_webapp.mkv 132.1 MB
- 02-what_is_data_science.mkv 119.8 MB
- 69-linear_regression_a_real_model_intro.mkv 108.2 MB
- 50-json_parsing.mkv 103.9 MB
- 07-getting_started_with_r.mkv 102.8 MB
- 15-vectors_part_one.mkv 100.9 MB
- 32-functions.mkv 100.7 MB
- 33-packages.mkv 96.7 MB
- 56-styling_and_saving.mkv 87.2 MB
- 17-vectors_missing_values.mkv 86.1 MB
- 09-r_files.mkv 84.8 MB
- 28-relational_operators.mkv 82.8 MB
- 45-the_arrange_verb.mkv 79.6 MB
- 30-conditional_statements.mkv 74.1 MB
- 03-machine_learning_overview.mkv 70.5 MB
- 61-intro_to_machine_learning___part_1.mkv 68.4 MB
- 40-tidy_data.mkv 68.0 MB
- 04-data_science_and_machine_learning_marketplace.mkv 57.3 MB
- 75-getting_started_with_freelancing.mkv 56.6 MB
- 51-data_visualization_in_r_intro.mkv 54.9 MB
- 29-logical_operators.mkv 54.8 MB
- 06-data_science_job_roles.mkv 51.8 MB
- 18-vectors_coercion.mkv 51.1 MB
- 11-r_studio.mkv 49.4 MB
- 74-creating_a_data_science_resume.mkv 46.7 MB
- 08-r_basics.mkv 45.6 MB
- 12-r_resources.mkv 45.5 MB
- 41-the_pipe_operator.mkv 44.6 MB
- 14-basic_types.mkv 42.7 MB
- 10-r_tidyverse.mkv 38.6 MB
- 19-vectors_naming.mkv 38.4 MB
- 31-loops.mkv 37.8 MB
- 01-data_science_and_ml_with_r_course_overview.mkv 35.7 MB
- 05-dsand_ml_job_opportunities_.mkv 30.9 MB
- 73-starting_a_data_science_career.mkv 28.3 MB
- 20-vectors_misc..mkv 24.1 MB
- skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares-sample.mkv 8.5 MB
- skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.nfo 1.7 KB
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