Skillshare Data Science and Machine Learning with R Masterclass

• Skillshare Data Science and Machine Learning with R Masterclass
• 01-data_science_and_ml_with_r_course_overview.mkv 35.7 MB
• 02-what_is_data_science.mkv 119.8 MB
• 03-machine_learning_overview.mkv 70.5 MB
• 04-data_science_and_machine_learning_marketplace.mkv 57.3 MB
• 05-dsand_ml_job_opportunities_.mkv 30.9 MB
• 06-data_science_job_roles.mkv 51.8 MB
• 07-getting_started_with_r.mkv 102.8 MB
• 08-r_basics.mkv 45.6 MB
• 09-r_files.mkv 84.8 MB
• 10-r_tidyverse.mkv 38.6 MB
• 11-r_studio.mkv 49.4 MB
• 12-r_resources.mkv 45.5 MB
• 13-data_types_and_structures_section_intro.mkv 245.7 MB
• 14-basic_types.mkv 42.7 MB
• 15-vectors_part_one.mkv 100.9 MB
• 16-vectors_part_two.mkv 188.7 MB
• 17-vectors_missing_values.mkv 86.1 MB
• 18-vectors_coercion.mkv 51.1 MB
• 19-vectors_naming.mkv 38.4 MB
• 20-vectors_misc..mkv 24.1 MB
• 21-creating_matrices.mkv 152.3 MB
• 22-working_with_lists.mkv 177 MB
• 23-introduction_to_data_frames.mkv 172.1 MB
• 24-creating_data_frames.mkv 146.8 MB
• 25-data_frames_helper_functions.mkv 246.3 MB
• 26-data_frames-tibbles.mkv 363.1 MB
• 27-intermediate_r_section_intro.mkv 434.6 MB
• 28-relational_operators.mkv 82.8 MB
• 29-logical_operators.mkv 54.8 MB
• 30-conditional_statements.mkv 74.1 MB
• 31-loops.mkv 37.8 MB
• 32-functions.mkv 100.7 MB
• 33-packages.mkv 96.7 MB
• 34-factors.mkv 199.7 MB
• 35-dates_and_times.mkv 217.3 MB
• 36-functional_programming.mkv 169.1 MB
• 37-data_importexport.mkv 164.5 MB
• 38-databases.mkv 257.7 MB
• 39-data_manipulation_in_r_section_intro.mkv 334.3 MB
• 40-tidy_data.mkv 68 MB
• 41-the_pipe_operator.mkv 44.6 MB
• 42-the_filter_verb.mkv 188.4 MB
• 43-the_select_verb.mkv 213.6 MB
• 44-the_mutate_verb.mkv 301.2 MB
• 45-the_arrange_verb.mkv 79.6 MB
• 46-the_summarize_verb.mkv 176.8 MB
• 47-data_pivoting.mkv 365.1 MB
• 48-string_manipulation.mkv 152.8 MB
• 49-web_scraping.mkv 389.7 MB
• 50-json_parsing.mkv 103.9 MB
• 51-data_visualization_in_r_intro.mkv 54.9 MB
• 52-aesthetics_mappings.mkv 220.1 MB
• 53-single_variable_plots.mkv 341.9 MB
• 54-two-variable_plots.mkv 170.6 MB
• 55-facets_layering_and_coordinate_systems.mkv 179 MB
• 56-styling_and_saving.mkv 87.2 MB
• 57-intro_to_r_markdown.mkv 239.4 MB
• 58-intro_to_r_shiny.mkv 232.5 MB
• 59-a_basic_webapp.mkv 132.1 MB
• 60-other_webapp_examples.mkv 179.7 MB
• 61-intro_to_machine_learning___part_1.mkv 68.4 MB
• 62-intro_to_machine_learning___part_2.mkv 446.9 MB
• 63-data_preprocessing_intro.mkv 219.4 MB
• 64-data_preprocessing.mkv 459.2 MB
• 65-linear_regression_a_simple_model_intro.mkv 246.3 MB
• 66-linear_regression_a_simple_model.mkv 558.3 MB
• 67-exploratory_data_analysis_intro.mkv 219.6 MB
• 68-hands-on_exploratory_data_analysis.mkv 606.9 MB
• 69-linear_regression_a_real_model_intro.mkv 108.2 MB
• 70-linear_regression_a_real_model.mkv 269.6 MB
• 71-logistic_regression_intro.mkv 142.5 MB
• 72-logistic_regression_in_r.mkv 186.4 MB
• 73-starting_a_data_science_career.mkv 28.3 MB
• 74-creating_a_data_science_resume.mkv 46.7 MB
• 75-getting_started_with_freelancing.mkv 56.6 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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