Skillshare Data Science and Machine Learning with R Masterclass

1. 68-hands-on_exploratory_data_analysis.mkv606.91MB
2. 66-linear_regression_a_simple_model.mkv558.34MB
3. 64-data_preprocessing.mkv459.25MB
4. 62-intro_to_machine_learning___part_2.mkv446.9MB
5. 27-intermediate_r_section_intro.mkv434.59MB
6. 49-web_scraping.mkv389.67MB
7. 47-data_pivoting.mkv365.06MB
8. 26-data_frames-tibbles.mkv363.08MB
9. 53-single_variable_plots.mkv341.87MB
10. 39-data_manipulation_in_r_section_intro.mkv334.28MB
11. 44-the_mutate_verb.mkv301.2MB
12. 70-linear_regression_a_real_model.mkv269.58MB
13. 38-databases.mkv257.66MB
14. 65-linear_regression_a_simple_model_intro.mkv246.3MB
15. 25-data_frames_helper_functions.mkv246.28MB
16. 13-data_types_and_structures_section_intro.mkv245.73MB
17. 57-intro_to_r_markdown.mkv239.45MB
18. 58-intro_to_r_shiny.mkv232.54MB
19. 52-aesthetics_mappings.mkv220.07MB
20. 67-exploratory_data_analysis_intro.mkv219.64MB
21. 63-data_preprocessing_intro.mkv219.35MB
22. 35-dates_and_times.mkv217.28MB
23. 43-the_select_verb.mkv213.59MB
24. 34-factors.mkv199.66MB
25. 16-vectors_part_two.mkv188.74MB
26. 42-the_filter_verb.mkv188.41MB
27. 72-logistic_regression_in_r.mkv186.39MB
28. 60-other_webapp_examples.mkv179.73MB
29. 55-facets_layering_and_coordinate_systems.mkv178.96MB
30. 22-working_with_lists.mkv177.02MB
31. 46-the_summarize_verb.mkv176.76MB
32. 23-introduction_to_data_frames.mkv172.15MB
33. 54-two-variable_plots.mkv170.59MB
34. 36-functional_programming.mkv169.11MB
35. 37-data_importexport.mkv164.49MB
36. 48-string_manipulation.mkv152.78MB
37. 21-creating_matrices.mkv152.25MB
38. 24-creating_data_frames.mkv146.76MB
39. 71-logistic_regression_intro.mkv142.47MB
40. 59-a_basic_webapp.mkv132.06MB
41. 02-what_is_data_science.mkv119.85MB
42. 69-linear_regression_a_real_model_intro.mkv108.17MB
43. 50-json_parsing.mkv103.91MB
44. 07-getting_started_with_r.mkv102.82MB
45. 15-vectors_part_one.mkv100.87MB
46. 32-functions.mkv100.66MB
47. 33-packages.mkv96.68MB
48. 56-styling_and_saving.mkv87.19MB
49. 17-vectors_missing_values.mkv86.13MB
50. 09-r_files.mkv84.83MB
51. 28-relational_operators.mkv82.78MB
52. 45-the_arrange_verb.mkv79.62MB
53. 30-conditional_statements.mkv74.14MB
54. 03-machine_learning_overview.mkv70.54MB
55. 61-intro_to_machine_learning___part_1.mkv68.42MB
56. 40-tidy_data.mkv68.01MB
57. 04-data_science_and_machine_learning_marketplace.mkv57.28MB
58. 75-getting_started_with_freelancing.mkv56.56MB
59. 51-data_visualization_in_r_intro.mkv54.95MB
60. 29-logical_operators.mkv54.78MB
61. 06-data_science_job_roles.mkv51.79MB
62. 18-vectors_coercion.mkv51.1MB
63. 11-r_studio.mkv49.4MB
64. 74-creating_a_data_science_resume.mkv46.71MB
65. 08-r_basics.mkv45.57MB
66. 12-r_resources.mkv45.52MB
67. 41-the_pipe_operator.mkv44.63MB
68. 14-basic_types.mkv42.68MB
69. 10-r_tidyverse.mkv38.59MB
70. 19-vectors_naming.mkv38.4MB
71. 31-loops.mkv37.76MB
72. 01-data_science_and_ml_with_r_course_overview.mkv35.72MB
73. 05-dsand_ml_job_opportunities_.mkv30.87MB
74. 73-starting_a_data_science_career.mkv28.32MB
75. 20-vectors_misc..mkv24.06MB
76. skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares-sample.mkv8.52MB