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Python for Data Science and Machine Learning Essential Training Part 1 DevCourseWeb

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Language: English
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Files:
  1. Get Bonus Downloads Here.url 182 bytes
  2. 01 - Data science life hacks.mp4 2.4 MB
  3. 01 - Data science life hacks.srt 1.3 KB
  4. 02 - What you should know.mp4 1.3 MB
  5. 02 - What you should know.srt 1.7 KB
  6. 03 - How to use Codespaces with this course.mp4 7.3 MB
  7. 03 - How to use Codespaces with this course.srt 4.1 KB
  8. 01 - Introduction to the data professions.mp4 21.8 MB
  9. 01 - Introduction to the data professions.srt 23.5 KB
  10. 02 - Data science careers Identifying where and how you'll thrive.mp4 14.7 MB
  11. 02 - Data science careers Identifying where and how you'll thrive.srt 7.3 KB
  12. 03 - Why to use Python for analytics.mp4 10.2 MB
  13. 03 - Why to use Python for analytics.srt 9.7 KB
  14. 04 - High-level course road map.mp4 2.6 MB
  15. 04 - High-level course road map.srt 2.7 KB
  16. 01 - Intro to data preparation.mp4 5.3 MB
  17. 01 - Intro to data preparation.srt 5.1 KB
  18. 02 - Numpy and pandas basics.mp4 6.7 MB
  19. 02 - Numpy and pandas basics.srt 5.9 KB
  20. 03 - Filtering and selecting.mp4 34.9 MB
  21. 03 - Filtering and selecting.srt 17.4 KB
  22. 04 - Treating missing values.mp4 37.5 MB
  23. 04 - Treating missing values.srt 22.5 KB
  24. 05 - Removing duplicates.mp4 17.7 MB
  25. 05 - Removing duplicates.srt 9.1 KB
  26. 06 - Concatenating and transforming.mp4 27.9 MB
  27. 06 - Concatenating and transforming.srt 15.4 KB
  28. 07 - Grouping and aggregation.mp4 13.1 MB
  29. 07 - Grouping and aggregation.srt 8.3 KB
  30. 01 - Importance of visualization in data science.mp4 5.1 MB
  31. 01 - Importance of visualization in data science.srt 6.2 KB
  32. 02 - The three types of data visualization.mp4 14.4 MB
  33. 02 - The three types of data visualization.srt 15.2 KB
  34. 03 - Selecting optimal data graphics.mp4 16.4 MB
  35. 03 - Selecting optimal data graphics.srt 11.7 KB
  36. 04 - Communicating with color and context.mp4 11.8 MB
  37. 04 - Communicating with color and context.srt 11.4 KB
  38. 01 - Introduction to the matplotlib and Seaborn libraries.mp4 38.7 MB
  39. 01 - Introduction to the matplotlib and Seaborn libraries.srt 21.3 KB
  40. 02 - Creating standard data graphics.mp4 21.2 MB
  41. 02 - Creating standard data graphics.srt 13.5 KB
  42. 03 - Defining elements of a plot.mp4 25.0 MB
  43. 03 - Defining elements of a plot.srt 15.8 KB
  44. 04 - Plot formatting.mp4 33.2 MB
  45. 04 - Plot formatting.srt 17.5 KB
  46. 05 - Creating labels and annotations.mp4 41.7 MB
  47. 05 - Creating labels and annotations.srt 23.8 KB
  48. 06 - Visualizing time series.mp4 18.1 MB
  49. 06 - Visualizing time series.srt 11.1 KB
  50. 07 - Creating statistical data graphics in Seaborn.mp4 31.8 MB
  51. 07 - Creating statistical data graphics in Seaborn.srt 17.3 KB
  52. 01 - Simple arithmetic.mp4 16.7 MB
  53. 01 - Simple arithmetic.srt 11.5 KB
  54. 02 - Generating summary statistics.mp4 20.1 MB
  55. 02 - Generating summary statistics.srt 14.0 KB
  56. 03 - Summarizing categorical data.mp4 21.4 MB
  57. 03 - Summarizing categorical data.srt 14.5 KB
  58. 04 - Pearson correlation analysis.mp4 35.5 MB
  59. 04 - Pearson correlation analysis.srt 23.0 KB
  60. 05 - Spearman rank correlation and Chi-square.mp4 31.7 MB
  61. 05 - Spearman rank correlation and Chi-square.srt 18.7 KB
  62. 06 - Extreme value analysis for outliers.mp4 28.8 MB
  63. 06 - Extreme value analysis for outliers.srt 19.1 KB
  64. 07 - Multivariate analysis for outliers.mp4 17.0 MB
  65. 07 - Multivariate analysis for outliers.srt 10.4 KB
  66. 01 - Cleaning and treating categorical variables.mp4 25.2 MB
  67. 01 - Cleaning and treating categorical variables.srt 14.3 KB
  68. 02 - Transforming data set distributions.mp4 14.4 MB
  69. 02 - Transforming data set distributions.srt 9.7 KB
  70. 03 - Applied machine learning Starter problem.mp4 18.0 MB
  71. 03 - Applied machine learning Starter problem.srt 11.8 KB
  72. 01 - Introduction of web scraping.mp4 3.7 MB
  73. 01 - Introduction of web scraping.srt 4.0 KB
  74. 02 - Python requests for automating data collection.mp4 18.9 MB
  75. 02 - Python requests for automating data collection.srt 12.7 KB
  76. 03 - BeautifulSoup object.mp4 46.6 MB
  77. 03 - BeautifulSoup object.srt 25.3 KB
  78. 04 - NavigableString objects.mp4 29.1 MB
  79. 04 - NavigableString objects.srt 14.0 KB
  80. 05 - Data parsing.mp4 37.9 MB
  81. 05 - Data parsing.srt 17.5 KB
  82. 06 - Web scraping in practice.mp4 36.2 MB
  83. 06 - Web scraping in practice.srt 18.0 KB
  84. 07 - Asynchronous scraping.mp4 46.7 MB
  85. 07 - Asynchronous scraping.srt 25.2 KB
  86. 01 - Introduction to Streamlit.mp4 7.1 MB
  87. 01 - Introduction to Streamlit.srt 8.4 KB
  88. 02 - Environment setup.mp4 6.0 MB
  89. 02 - Environment setup.srt 4.1 KB
  90. 03 - Create basic charts.mp4 21.0 MB
  91. 03 - Create basic charts.srt 10.4 KB
  92. 04 - Line charts in Streamlit.mp4 18.3 MB
  93. 04 - Line charts in Streamlit.srt 9.8 KB
  94. 05 - Bar charts and pie charts in Streamlit.mp4 23.3 MB
  95. 05 - Bar charts and pie charts in Streamlit.srt 12.6 KB
  96. 06 - Create statistical charts.mp4 20.2 MB
  97. 06 - Create statistical charts.srt 8.8 KB
  98. 01 - Next steps.mp4 1.7 MB
  99. 01 - Next steps.srt 2.0 KB
  100. Bonus Resources.txt 386 bytes

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