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[] Udemy - Machine Learning Regression Masterclass in Python

  • 收录时间:2022-01-26 12:27:29
  • 文件大小:3GB
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  • 最近下载:2022-01-26 12:27:29
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文件列表

  1. 04 - REGRESSION KEY PERFORMANCE INDICATORS/004 Bias Variance Tradeoff.mp4 190MB
  2. 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/005 ML vs. DL vs. AI.mp4 126MB
  3. 03 - SIMPLE LINEAR REGRESSION/008 Project #1 - Test Model.mp4 115MB
  4. 09 - LASSO AND RIDGE REGRESSION/005 Ridge and Lasso in Practice.mp4 110MB
  5. 04 - REGRESSION KEY PERFORMANCE INDICATORS/002 Regression Metric Part 1.mp4 110MB
  6. 06 - MULTIPLE LINEAR REGRESSION/005 Project #1 - Model Training and Evaluation.mp4 100MB
  7. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/012 Evaluate the Model.mp4 100MB
  8. 03 - SIMPLE LINEAR REGRESSION/002 Simple Linear Regression Intuition.mp4 98MB
  9. 06 - MULTIPLE LINEAR REGRESSION/012 Project #2 - Retraining Model.mp4 97MB
  10. 06 - MULTIPLE LINEAR REGRESSION/006 Project #1 - Model Results Evaluation.mp4 86MB
  11. 03 - SIMPLE LINEAR REGRESSION/004 Project #1 - Overview.mp4 81MB
  12. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/014 Model Improvement with more features.mp4 80MB
  13. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/009 Project - Visualize Dataset.mp4 79MB
  14. 07 - LOGISTIC REGRESSION/007 Project #2 - Training Testing.mp4 76MB
  15. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/011 Train the Model.mp4 76MB
  16. 06 - MULTIPLE LINEAR REGRESSION/009 Project #2 - Data Visualization.mp4 74MB
  17. 07 - LOGISTIC REGRESSION/008 Model Testing Visualization.mp4 65MB
  18. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/013 Multiple Linear regression.mp4 64MB
  19. 05 - POLYNOMIAL REGRESSION/004 Poly Regression - Visualize Data.mp4 64MB
  20. 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/001 Course Welcome Message.mp4 61MB
  21. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/005 Theory Part 4.mp4 60MB
  22. 07 - LOGISTIC REGRESSION/003 Confusion Matrix.mp4 58MB
  23. 06 - MULTIPLE LINEAR REGRESSION/011 Project #2 - Model Evaluation.mp4 58MB
  24. 09 - LASSO AND RIDGE REGRESSION/003 Ridge Lasso Part 2.mp4 55MB
  25. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/008 Project - Load Dataset.mp4 55MB
  26. 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/003 Course Overview.mp4 53MB
  27. 05 - POLYNOMIAL REGRESSION/005 Poly Regression - Linear Trainingtesting.mp4 52MB
  28. 03 - SIMPLE LINEAR REGRESSION/014 Project #2 - Model Testing.mp4 50MB
  29. 07 - LOGISTIC REGRESSION/005 Project #2 - Visualization.mp4 50MB
  30. 05 - POLYNOMIAL REGRESSION/003 Poly Regression - Salary Load Data.mp4 48MB
  31. 06 - MULTIPLE LINEAR REGRESSION/008 Project #2 - Load Data.mp4 44MB
  32. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/010 Scale the Data.mp4 44MB
  33. 07 - LOGISTIC REGRESSION/002 Logistic Regression Intuition.mp4 42MB
  34. 05 - POLYNOMIAL REGRESSION/011 Poly Regression - Economies Poly.mp4 41MB
  35. 03 - SIMPLE LINEAR REGRESSION/003 Least Squares.mp4 40MB
  36. 04 - REGRESSION KEY PERFORMANCE INDICATORS/003 Regression Metric Part 2.mp4 37MB
  37. 05 - POLYNOMIAL REGRESSION/010 Poly Regression - Economies Linear -2.mp4 37MB
  38. 06 - MULTIPLE LINEAR REGRESSION/003 Project #1 - Load Data and Libraries.mp4 36MB
  39. 03 - SIMPLE LINEAR REGRESSION/006 Project #1 - Divide Data into Training and Testing.mp4 35MB
  40. 06 - MULTIPLE LINEAR REGRESSION/004 Project #1 - Data Visualization.mp4 35MB
  41. 05 - POLYNOMIAL REGRESSION/006 Poly Regression - Poly Part 1.mp4 35MB
  42. 06 - MULTIPLE LINEAR REGRESSION/010 Project #2 - Train the Model.mp4 33MB
  43. 03 - SIMPLE LINEAR REGRESSION/007 Project #1 - Train Model.mp4 32MB
  44. 05 - POLYNOMIAL REGRESSION/009 Poly Regression - Economies Linear -1.mp4 32MB
  45. 07 - LOGISTIC REGRESSION/001 Logistic Regression Intro.mp4 30MB
  46. 03 - SIMPLE LINEAR REGRESSION/005 Project #1 - Data Visualization.mp4 30MB
  47. 02 - ANACONDA AND JUPYTER INSTALLATION/001 Download and Set up Anaconda.mp4 29MB
  48. 09 - LASSO AND RIDGE REGRESSION/004 Ridge Lasso Part 3.mp4 29MB
  49. 07 - LOGISTIC REGRESSION/006 Project #2 - Data Cleaning.mp4 28MB
  50. 09 - LASSO AND RIDGE REGRESSION/002 Ridge Lasso Part 1.mp4 28MB
  51. 05 - POLYNOMIAL REGRESSION/002 Polynomial Regression - Intuition.mp4 28MB
  52. 03 - SIMPLE LINEAR REGRESSION/001 Intro to Simple Linear Regression.mp4 27MB
  53. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/004 Theory Part 3.mp4 27MB
  54. 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/18576730-ML-Regression-Course-Package.zip 25MB
  55. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/006 Theory Part 5.mp4 25MB
  56. 07 - LOGISTIC REGRESSION/004 Project #2 - Data Import.mp4 24MB
  57. 03 - SIMPLE LINEAR REGRESSION/011 Project #2 - Visualization.mp4 24MB
  58. 05 - POLYNOMIAL REGRESSION/007 Poly Regression - Poly Part 2.mp4 23MB
  59. 09 - LASSO AND RIDGE REGRESSION/001 Ridge and Lasso Intro.mp4 23MB
  60. 06 - MULTIPLE LINEAR REGRESSION/007 Project #2 - Overview.mp4 22MB
  61. 05 - POLYNOMIAL REGRESSION/008 Poly Regression Project 2 Overview.mp4 21MB
  62. 03 - SIMPLE LINEAR REGRESSION/013 Project #2 - Test Model.mp4 20MB
  63. 06 - MULTIPLE LINEAR REGRESSION/001 Multiple Linear Regression Intro.mp4 20MB
  64. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/002 Theory Part 1.mp4 17MB
  65. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/001 Artificial Neural Networks Intro.mp4 16MB
  66. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/007 Theory Part 6.mp4 16MB
  67. 03 - SIMPLE LINEAR REGRESSION/012 Project #2 - Prepare Training and Testing Data.mp4 15MB
  68. 02 - ANACONDA AND JUPYTER INSTALLATION/002 What is Jupiter Notebook.mp4 15MB
  69. 05 - POLYNOMIAL REGRESSION/001 Polynomial Regression Intro.mp4 15MB
  70. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/003 Theory Part 2.mp4 14MB
  71. 03 - SIMPLE LINEAR REGRESSION/010 Project #2 - Solution.mp4 13MB
  72. 03 - SIMPLE LINEAR REGRESSION/009 Project #2 - Overview.mp4 13MB
  73. 06 - MULTIPLE LINEAR REGRESSION/002 Multiple Linear Regression Overview.mp4 10MB
  74. 04 - REGRESSION KEY PERFORMANCE INDICATORS/001 Regression Metrics Intro.mp4 7MB
  75. 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/002 Updates on Udemy Reviews.mp4 3MB
  76. 04 - REGRESSION KEY PERFORMANCE INDICATORS/004 Bias Variance Tradeoff_en.vtt 29KB
  77. 06 - MULTIPLE LINEAR REGRESSION/005 Project #1 - Model Training and Evaluation_en.vtt 25KB
  78. 03 - SIMPLE LINEAR REGRESSION/008 Project #1 - Test Model_en.vtt 25KB
  79. 03 - SIMPLE LINEAR REGRESSION/004 Project #1 - Overview_en.vtt 25KB
  80. 04 - REGRESSION KEY PERFORMANCE INDICATORS/002 Regression Metric Part 1_en.vtt 22KB
  81. 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/005 ML vs. DL vs. AI_en.vtt 21KB
  82. 06 - MULTIPLE LINEAR REGRESSION/006 Project #1 - Model Results Evaluation_en.vtt 21KB
  83. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/012 Evaluate the Model_en.vtt 20KB
  84. 09 - LASSO AND RIDGE REGRESSION/005 Ridge and Lasso in Practice_en.vtt 19KB
  85. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/011 Train the Model_en.vtt 18KB
  86. 06 - MULTIPLE LINEAR REGRESSION/009 Project #2 - Data Visualization_en.vtt 17KB
  87. 06 - MULTIPLE LINEAR REGRESSION/012 Project #2 - Retraining Model_en.vtt 17KB
  88. 07 - LOGISTIC REGRESSION/007 Project #2 - Training Testing_en.vtt 16KB
  89. 03 - SIMPLE LINEAR REGRESSION/002 Simple Linear Regression Intuition_en.vtt 16KB
  90. 07 - LOGISTIC REGRESSION/003 Confusion Matrix_en.vtt 16KB
  91. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/009 Project - Visualize Dataset_en.vtt 15KB
  92. 03 - SIMPLE LINEAR REGRESSION/006 Project #1 - Divide Data into Training and Testing_en.vtt 14KB
  93. 05 - POLYNOMIAL REGRESSION/005 Poly Regression - Linear Trainingtesting_en.vtt 14KB
  94. 03 - SIMPLE LINEAR REGRESSION/005 Project #1 - Data Visualization_en.vtt 14KB
  95. 07 - LOGISTIC REGRESSION/005 Project #2 - Visualization_en.vtt 14KB
  96. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/005 Theory Part 4_en.vtt 14KB
  97. 05 - POLYNOMIAL REGRESSION/003 Poly Regression - Salary Load Data_en.vtt 13KB
  98. 03 - SIMPLE LINEAR REGRESSION/014 Project #2 - Model Testing_en.vtt 13KB
  99. 05 - POLYNOMIAL REGRESSION/002 Polynomial Regression - Intuition_en.vtt 13KB
  100. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/008 Project - Load Dataset_en.vtt 13KB
  101. 07 - LOGISTIC REGRESSION/008 Model Testing Visualization_en.vtt 13KB
  102. 06 - MULTIPLE LINEAR REGRESSION/004 Project #1 - Data Visualization_en.vtt 13KB
  103. 09 - LASSO AND RIDGE REGRESSION/002 Ridge Lasso Part 1_en.vtt 13KB
  104. 06 - MULTIPLE LINEAR REGRESSION/011 Project #2 - Model Evaluation_en.vtt 12KB
  105. 04 - REGRESSION KEY PERFORMANCE INDICATORS/003 Regression Metric Part 2_en.vtt 12KB
  106. 05 - POLYNOMIAL REGRESSION/004 Poly Regression - Visualize Data_en.vtt 12KB
  107. 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/003 Course Overview_en.vtt 12KB
  108. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/014 Model Improvement with more features_en.vtt 12KB
  109. 07 - LOGISTIC REGRESSION/002 Logistic Regression Intuition_en.vtt 11KB
  110. 05 - POLYNOMIAL REGRESSION/011 Poly Regression - Economies Poly_en.vtt 10KB
  111. 06 - MULTIPLE LINEAR REGRESSION/008 Project #2 - Load Data_en.vtt 10KB
  112. 03 - SIMPLE LINEAR REGRESSION/007 Project #1 - Train Model_en.vtt 10KB
  113. 09 - LASSO AND RIDGE REGRESSION/003 Ridge Lasso Part 2_en.vtt 10KB
  114. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/013 Multiple Linear regression_en.vtt 10KB
  115. 06 - MULTIPLE LINEAR REGRESSION/010 Project #2 - Train the Model_en.vtt 10KB
  116. 05 - POLYNOMIAL REGRESSION/010 Poly Regression - Economies Linear -2_en.vtt 10KB
  117. 06 - MULTIPLE LINEAR REGRESSION/003 Project #1 - Load Data and Libraries_en.vtt 10KB
  118. 05 - POLYNOMIAL REGRESSION/006 Poly Regression - Poly Part 1_en.vtt 9KB
  119. 03 - SIMPLE LINEAR REGRESSION/003 Least Squares_en.vtt 9KB
  120. 03 - SIMPLE LINEAR REGRESSION/011 Project #2 - Visualization_en.vtt 9KB
  121. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/004 Theory Part 3_en.vtt 9KB
  122. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/010 Scale the Data_en.vtt 9KB
  123. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/006 Theory Part 5_en.vtt 9KB
  124. 05 - POLYNOMIAL REGRESSION/009 Poly Regression - Economies Linear -1_en.vtt 8KB
  125. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/002 Theory Part 1_en.vtt 7KB
  126. 07 - LOGISTIC REGRESSION/006 Project #2 - Data Cleaning_en.vtt 7KB
  127. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/007 Theory Part 6_en.vtt 7KB
  128. 07 - LOGISTIC REGRESSION/004 Project #2 - Data Import_en.vtt 6KB
  129. 05 - POLYNOMIAL REGRESSION/007 Poly Regression - Poly Part 2_en.vtt 6KB
  130. 03 - SIMPLE LINEAR REGRESSION/013 Project #2 - Test Model_en.vtt 6KB
  131. 02 - ANACONDA AND JUPYTER INSTALLATION/001 Download and Set up Anaconda_en.vtt 6KB
  132. 03 - SIMPLE LINEAR REGRESSION/012 Project #2 - Prepare Training and Testing Data_en.vtt 6KB
  133. 03 - SIMPLE LINEAR REGRESSION/010 Project #2 - Solution_en.vtt 5KB
  134. 09 - LASSO AND RIDGE REGRESSION/004 Ridge Lasso Part 3_en.vtt 5KB
  135. 05 - POLYNOMIAL REGRESSION/008 Poly Regression Project 2 Overview_en.vtt 5KB
  136. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/003 Theory Part 2_en.vtt 5KB
  137. 02 - ANACONDA AND JUPYTER INSTALLATION/002 What is Jupiter Notebook_en.vtt 5KB
  138. 03 - SIMPLE LINEAR REGRESSION/009 Project #2 - Overview_en.vtt 4KB
  139. 06 - MULTIPLE LINEAR REGRESSION/007 Project #2 - Overview_en.vtt 4KB
  140. 06 - MULTIPLE LINEAR REGRESSION/002 Multiple Linear Regression Overview_en.vtt 4KB
  141. 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/001 Course Welcome Message_en.vtt 4KB
  142. 07 - LOGISTIC REGRESSION/001 Logistic Regression Intro_en.vtt 2KB
  143. 03 - SIMPLE LINEAR REGRESSION/001 Intro to Simple Linear Regression_en.vtt 2KB
  144. 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/002 Updates on Udemy Reviews_en.vtt 1KB
  145. 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/004 BONUS Learning Path.html 1KB
  146. 09 - LASSO AND RIDGE REGRESSION/001 Ridge and Lasso Intro_en.vtt 1KB
  147. 06 - MULTIPLE LINEAR REGRESSION/001 Multiple Linear Regression Intro_en.vtt 1KB
  148. 10 - Bonus Lectures/001 YOUR SPECIAL BONUS.html 1KB
  149. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/001 Artificial Neural Networks Intro_en.vtt 981B
  150. 05 - POLYNOMIAL REGRESSION/001 Polynomial Regression Intro_en.vtt 922B
  151. 04 - REGRESSION KEY PERFORMANCE INDICATORS/001 Regression Metrics Intro_en.vtt 812B
  152. 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/006 Get the materials.html 345B
  153. 0. Websites you may like/[CourseClub.ME].url 122B
  154. 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/[CourseClub.Me].url 122B
  155. 05 - POLYNOMIAL REGRESSION/[CourseClub.Me].url 122B
  156. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/[CourseClub.Me].url 122B
  157. 10 - Bonus Lectures/[CourseClub.Me].url 122B
  158. [CourseClub.Me].url 122B
  159. 0. Websites you may like/[GigaCourse.Com].url 49B
  160. 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/[GigaCourse.Com].url 49B
  161. 05 - POLYNOMIAL REGRESSION/[GigaCourse.Com].url 49B
  162. 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/[GigaCourse.Com].url 49B
  163. 10 - Bonus Lectures/[GigaCourse.Com].url 49B
  164. [GigaCourse.Com].url 49B