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[Udemy] Statistics & Mathematics for Data Science in Python [2020, ENG]

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  • 文件大小:725MB
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文件列表

  1. 5. Confidence Intervals & Hypothesis Testing/7. Normal Data Quantitative Confidence Intervals.mp4 28MB
  2. 6. Regression & Predictions/3. Preparation Part 2 Categorical Coding & Data Splitting.mp4 26MB
  3. 5. Confidence Intervals & Hypothesis Testing/6. Normal Data Categorical Confidence Intervals.mp4 25MB
  4. 5. Confidence Intervals & Hypothesis Testing/9. Non-Normal Data & Bootstrap.mp4 23MB
  5. 6. Regression & Predictions/10. Model Comparison Tool.mp4 22MB
  6. 7. Classification Modeling/9. Model Comparison Tool.mp4 21MB
  7. 6. Regression & Predictions/4. Linear Regression.mp4 21MB
  8. 8. Natural Language Processing/8. Cosine Similarity Between Texts.mp4 20MB
  9. 2. Vocabulary & Descriptive Statistics/3. Variable Types within Data.mp4 19MB
  10. 6. Regression & Predictions/2. Preparation Part 1 Loading & Exploring Diamonds Data.mp4 18MB
  11. 6. Regression & Predictions/11. Model Hyper Tuning & Optimization.mp4 17MB
  12. 3. Distribution Types/7. Fitting Distributions - Advanced.mp4 17MB
  13. 2. Vocabulary & Descriptive Statistics/4. Summarizing Data with Counts.mp4 17MB
  14. 5. Confidence Intervals & Hypothesis Testing/5. Normal DataProbability Plots with Means.mp4 17MB
  15. 2. Vocabulary & Descriptive Statistics/5. Measures of Center, Essential Analytics.mp4 16MB
  16. 4. Inferential Statistics with Visualizations/6. Advanced Visualizations.mp4 16MB
  17. 7. Classification Modeling/3. Preparation Part 2 Cleaning & Preparing Penguins Data.mp4 16MB
  18. 3. Distribution Types/6. Normal Distribution.mp4 15MB
  19. 5. Confidence Intervals & Hypothesis Testing/8. ANOVA.mp4 14MB
  20. 4. Inferential Statistics with Visualizations/2. Bar Charts.mp4 14MB
  21. 5. Confidence Intervals & Hypothesis Testing/4. Assuming Normality.mp4 13MB
  22. 1. Google Colab for Data Science/6. Importing Data from OneDrive to Pandas DataFrame.mp4 13MB
  23. 4. Inferential Statistics with Visualizations/3. Histograms.mp4 13MB
  24. 6. Regression & Predictions/7. Lasso Regression.mp4 13MB
  25. 4. Inferential Statistics with Visualizations/4. Box Plots.mp4 13MB
  26. 1. Google Colab for Data Science/5. Importing Data from Google Drive to Pandas DataFrame.mp4 12MB
  27. 6. Regression & Predictions/8. ElasticNet Regression.mp4 12MB
  28. 7. Classification Modeling/4. Naive Bayes.mp4 12MB
  29. 3. Distribution Types/4. Binomial Distribution.mp4 12MB
  30. 5. Confidence Intervals & Hypothesis Testing/2. Seaborn Sample Data & Fitting.mp4 12MB
  31. 4. Inferential Statistics with Visualizations/5. Scatter Plots.mp4 11MB
  32. 2. Vocabulary & Descriptive Statistics/6. Correlation Coefficient.mp4 11MB
  33. 6. Regression & Predictions/5. Polynomial Regression.mp4 11MB
  34. 3. Distribution Types/3. Uniform Distribution.mp4 11MB
  35. 8. Natural Language Processing/2. Data Loading & Exploration.mp4 10MB
  36. 7. Classification Modeling/2. Preparation Part 1 Loading & Exploring Penguins Data.mp4 10MB
  37. 7. Classification Modeling/7. SVM.mp4 10MB
  38. 7. Classification Modeling/10. Model Hyper Tuning & Optimization.mp4 10MB
  39. 6. Regression & Predictions/9. Random Forest Regression.mp4 10MB
  40. 6. Regression & Predictions/6. Ridge Regression.mp4 10MB
  41. 2. Vocabulary & Descriptive Statistics/2. Introduction to General Statistical Vocabulary.mp4 9MB
  42. 3. Distribution Types/5. Poisson Distribution.mp4 9MB
  43. 8. Natural Language Processing/5. Movie Reviews Text Analysis & Frequency.mp4 8MB
  44. 7. Classification Modeling/5. Logistic Regression.mp4 8MB
  45. 8. Natural Language Processing/3. NLTK to Examine Text.mp4 8MB
  46. 8. Natural Language Processing/4. For Loop Creation of 8.2.mp4 7MB
  47. 8. Natural Language Processing/7. Naive Bayes with NLTK.mp4 7MB
  48. 7. Classification Modeling/6. K-Nearest Neighbors.mp4 6MB
  49. 5. Confidence Intervals & Hypothesis Testing/3. Introduction to Confidence Intervals & Tests.mp4 6MB
  50. 8. Natural Language Processing/6. Finding Features of Textual Data.mp4 5MB
  51. 7. Classification Modeling/8. Random Forest.mp4 5MB
  52. 1. Google Colab for Data Science/4. Documentation Exploration.mp4 5MB
  53. 3. Distribution Types/2. Introduction to Probability Distributions.mp4 3MB
  54. 1. Google Colab for Data Science/7. Sharing a Colab Notebook.mp4 3MB
  55. 1. Google Colab for Data Science/1. Course Overview.mp4 3MB
  56. 3. Distribution Types/8. Summary.mp4 2MB
  57. 1. Google Colab for Data Science/3. Google Drive & Colab Introduction.mp4 2MB
  58. 6. Regression & Predictions/12. Summary.mp4 1MB
  59. 4. Inferential Statistics with Visualizations/1. Introduction.mp4 1MB
  60. 1. Google Colab for Data Science/2. Introduction.mp4 975KB
  61. 2. Vocabulary & Descriptive Statistics/7. Summary.mp4 924KB
  62. 7. Classification Modeling/1. Introduction.mp4 900KB
  63. 4. Inferential Statistics with Visualizations/1.1 Inferential Statistics with Visualizations.zip 860KB
  64. 5. Confidence Intervals & Hypothesis Testing/1. Introduction.mp4 853KB
  65. 4. Inferential Statistics with Visualizations/7. Summary.mp4 831KB
  66. 8. Natural Language Processing/1. Introduction.mp4 771KB
  67. 7. Classification Modeling/11. Summary.mp4 760KB
  68. 6. Regression & Predictions/1. Introduction.mp4 721KB
  69. 2. Vocabulary & Descriptive Statistics/1. Introduction.mp4 688KB
  70. 3. Distribution Types/1. Introduction.mp4 686KB
  71. 8. Natural Language Processing/9. Summary.mp4 649KB
  72. 1. Google Colab for Data Science/8. Summary.mp4 563KB
  73. 5. Confidence Intervals & Hypothesis Testing/10. Summary.mp4 504KB
  74. 7. Classification Modeling/1.1 Classification Modeling.zip 424KB
  75. 5. Confidence Intervals & Hypothesis Testing/1.1 Confidence Intervals & Hypothesis Testing.zip 412KB
  76. 6. Regression & Predictions/1.1 Regression & Predictions.zip 398KB
  77. 3. Distribution Types/1.1 Distribution Types.zip 255KB
  78. 8. Natural Language Processing/1.1 Natural Language Processing.zip 254KB
  79. 8. Natural Language Processing/11.1 16155477.zip 188KB
  80. 5. Confidence Intervals & Hypothesis Testing/7. Normal Data Quantitative Confidence Intervals.srt 44KB
  81. 5. Confidence Intervals & Hypothesis Testing/6. Normal Data Categorical Confidence Intervals.srt 43KB
  82. 6. Regression & Predictions/3. Preparation Part 2 Categorical Coding & Data Splitting.srt 39KB
  83. 5. Confidence Intervals & Hypothesis Testing/9. Non-Normal Data & Bootstrap.srt 37KB
  84. 7. Classification Modeling/9. Model Comparison Tool.srt 36KB
  85. 8. Natural Language Processing/8. Cosine Similarity Between Texts.srt 34KB
  86. 6. Regression & Predictions/10. Model Comparison Tool.srt 33KB
  87. 6. Regression & Predictions/2. Preparation Part 1 Loading & Exploring Diamonds Data.srt 32KB
  88. 7. Classification Modeling/3. Preparation Part 2 Cleaning & Preparing Penguins Data.srt 30KB
  89. 5. Confidence Intervals & Hypothesis Testing/5. Normal DataProbability Plots with Means.srt 27KB
  90. 6. Regression & Predictions/4. Linear Regression.srt 27KB
  91. 2. Vocabulary & Descriptive Statistics/5. Measures of Center, Essential Analytics.srt 26KB
  92. 2. Vocabulary & Descriptive Statistics/3. Variable Types within Data.srt 25KB
  93. 4. Inferential Statistics with Visualizations/2. Bar Charts.srt 25KB
  94. 4. Inferential Statistics with Visualizations/6. Advanced Visualizations.srt 24KB
  95. 1. Google Colab for Data Science/5. Importing Data from Google Drive to Pandas DataFrame.srt 24KB
  96. 3. Distribution Types/6. Normal Distribution.srt 23KB
  97. 5. Confidence Intervals & Hypothesis Testing/8. ANOVA.srt 23KB
  98. 4. Inferential Statistics with Visualizations/4. Box Plots.srt 22KB
  99. 5. Confidence Intervals & Hypothesis Testing/4. Assuming Normality.srt 22KB
  100. 3. Distribution Types/4. Binomial Distribution.srt 22KB
  101. 1. Google Colab for Data Science/6. Importing Data from OneDrive to Pandas DataFrame.srt 22KB
  102. 4. Inferential Statistics with Visualizations/3. Histograms.srt 22KB
  103. 7. Classification Modeling/4. Naive Bayes.srt 22KB
  104. 2. Vocabulary & Descriptive Statistics/2. Introduction to General Statistical Vocabulary.srt 21KB
  105. 6. Regression & Predictions/11. Model Hyper Tuning & Optimization.srt 21KB
  106. 3. Distribution Types/3. Uniform Distribution.srt 20KB
  107. 3. Distribution Types/7. Fitting Distributions - Advanced.srt 19KB
  108. 2. Vocabulary & Descriptive Statistics/6. Correlation Coefficient.srt 19KB
  109. 4. Inferential Statistics with Visualizations/5. Scatter Plots.srt 19KB
  110. 7. Classification Modeling/2. Preparation Part 1 Loading & Exploring Penguins Data.srt 19KB
  111. 2. Vocabulary & Descriptive Statistics/1.1 Vocabulary & Descriptive Statistics.zip 19KB
  112. 2. Vocabulary & Descriptive Statistics/4. Summarizing Data with Counts.srt 18KB
  113. 6. Regression & Predictions/8. ElasticNet Regression.srt 17KB
  114. 6. Regression & Predictions/7. Lasso Regression.srt 16KB
  115. 5. Confidence Intervals & Hypothesis Testing/2. Seaborn Sample Data & Fitting.srt 16KB
  116. 7. Classification Modeling/10. Model Hyper Tuning & Optimization.srt 16KB
  117. 3. Distribution Types/5. Poisson Distribution.srt 16KB
  118. 6. Regression & Predictions/5. Polynomial Regression.srt 16KB
  119. 6. Regression & Predictions/9. Random Forest Regression.srt 14KB
  120. 7. Classification Modeling/5. Logistic Regression.srt 14KB
  121. 7. Classification Modeling/7. SVM.srt 14KB
  122. 8. Natural Language Processing/2. Data Loading & Exploration.srt 14KB
  123. 8. Natural Language Processing/5. Movie Reviews Text Analysis & Frequency.srt 14KB
  124. 6. Regression & Predictions/6. Ridge Regression.srt 14KB
  125. 8. Natural Language Processing/3. NLTK to Examine Text.srt 13KB
  126. 5. Confidence Intervals & Hypothesis Testing/3. Introduction to Confidence Intervals & Tests.srt 13KB
  127. 8. Natural Language Processing/4. For Loop Creation of 8.2.srt 12KB
  128. 8. Natural Language Processing/7. Naive Bayes with NLTK.srt 11KB
  129. 7. Classification Modeling/6. K-Nearest Neighbors.srt 9KB
  130. 7. Classification Modeling/8. Random Forest.srt 8KB
  131. 1. Google Colab for Data Science/4. Documentation Exploration.srt 8KB
  132. 8. Natural Language Processing/6. Finding Features of Textual Data.srt 7KB
  133. 1. Google Colab for Data Science/7. Sharing a Colab Notebook.srt 6KB
  134. 3. Distribution Types/2. Introduction to Probability Distributions.srt 6KB
  135. 1. Google Colab for Data Science/1.1 Google Colab for Data Science.zip 6KB
  136. 1. Google Colab for Data Science/1. Course Overview.srt 6KB
  137. 1. Google Colab for Data Science/3. Google Drive & Colab Introduction.srt 5KB
  138. 3. Distribution Types/8. Summary.srt 5KB
  139. 1. Google Colab for Data Science/2. Introduction.srt 2KB
  140. 6. Regression & Predictions/12. Summary.srt 2KB
  141. 4. Inferential Statistics with Visualizations/1. Introduction.srt 2KB
  142. 2. Vocabulary & Descriptive Statistics/7. Summary.srt 2KB
  143. 5. Confidence Intervals & Hypothesis Testing/1. Introduction.srt 2KB
  144. 4. Inferential Statistics with Visualizations/7. Summary.srt 2KB
  145. 7. Classification Modeling/1. Introduction.srt 1KB
  146. 2. Vocabulary & Descriptive Statistics/1. Introduction.srt 1KB
  147. 7. Classification Modeling/11. Summary.srt 1KB
  148. 6. Regression & Predictions/1. Introduction.srt 1KB
  149. 8. Natural Language Processing/1. Introduction.srt 1KB
  150. 3. Distribution Types/1. Introduction.srt 1KB
  151. 8. Natural Language Processing/9. Summary.srt 1KB
  152. 1. Google Colab for Data Science/8. Summary.srt 1KB
  153. 5. Confidence Intervals & Hypothesis Testing/10. Summary.srt 1KB
  154. 8. Natural Language Processing/11. Project Resource File.html 528B
  155. 7. Classification Modeling/12. Quiz 7.html 160B
  156. 6. Regression & Predictions/13. Quiz 6.html 160B
  157. 1. Google Colab for Data Science/9. Quiz 1.html 160B
  158. 4. Inferential Statistics with Visualizations/8. Quiz 4.html 160B
  159. 2. Vocabulary & Descriptive Statistics/8. Quiz-2.html 160B
  160. 5. Confidence Intervals & Hypothesis Testing/11. Quiz 5.html 160B
  161. 3. Distribution Types/9. Quiz 3.html 160B
  162. 8. Natural Language Processing/10. Quiz 8.html 160B