[Tutorialsplanet.NET] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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Files
  1. 1. Welcome to the course!/1. Applications of Machine Learning.mp4 7.99MB
  2. 1. Welcome to the course!/1. Applications of Machine Learning.srt 5.30KB
  3. 1. Welcome to the course!/10. Presentation of the ML A-Z folder, Colaboratory, Jupyter Notebook and Spyder.mp4 94.80MB
  4. 1. Welcome to the course!/10. Presentation of the ML A-Z folder, Colaboratory, Jupyter Notebook and Spyder.srt 28.27KB
  5. 1. Welcome to the course!/11. Installing R and R Studio (Mac, Linux & Windows).mp4 17.55MB
  6. 1. Welcome to the course!/11. Installing R and R Studio (Mac, Linux & Windows).srt 9.15KB
  7. 1. Welcome to the course!/12. BONUS Meet your instructors.html 1.04KB
  8. 1. Welcome to the course!/13. Some Additional Resources.html 556B
  9. 1. Welcome to the course!/14. FAQBot!.html 3.00KB
  10. 1. Welcome to the course!/2. BONUS Learning Paths.html 1.79KB
  11. 1. Welcome to the course!/3. BONUS #2 ML vs DL vs AI — What’s the Difference.html 521B
  12. 1. Welcome to the course!/4. BONUS #3 Regression Types.html 521B
  13. 1. Welcome to the course!/5. Why Machine Learning is the Future.mp4 12.81MB
  14. 1. Welcome to the course!/5. Why Machine Learning is the Future.srt 9.23KB
  15. 1. Welcome to the course!/6. Important notes, tips & tricks for this course.html 3.24KB
  16. 1. Welcome to the course!/7. This PDF resource will help you a lot!.html 1.49KB
  17. 1. Welcome to the course!/7.1 Machine_Learning_A_Z_Q_A.pdf 2.26MB
  18. 1. Welcome to the course!/8. Updates on Udemy Reviews.mp4 20.41MB
  19. 1. Welcome to the course!/8. Updates on Udemy Reviews.srt 1.81KB
  20. 1. Welcome to the course!/9. GET ALL THE CODES AND DATASETS HERE!.html 1.83KB
  21. 1. Welcome to the course!/9.1 Machine Learning A-Z (Codes and Datasets).zip 5.28MB
  22. 10. Decision Tree Regression/1. Decision Tree Regression Intuition.mp4 22.70MB
  23. 10. Decision Tree Regression/1. Decision Tree Regression Intuition.srt 17.06KB
  24. 10. Decision Tree Regression/2. Make sure you have your Machine Learning A-Z folder ready.html 776B
  25. 10. Decision Tree Regression/2.1 Machine Learning A-Z (Codes and Datasets).zip 5.28MB
  26. 10. Decision Tree Regression/3. Decision Tree Regression in Python - Step 1.mp4 42.39MB
  27. 10. Decision Tree Regression/3. Decision Tree Regression in Python - Step 1.srt 13.28KB
  28. 10. Decision Tree Regression/4. Decision Tree Regression in Python - Step 2.mp4 26.25MB
  29. 10. Decision Tree Regression/4. Decision Tree Regression in Python - Step 2.srt 7.54KB
  30. 10. Decision Tree Regression/5. Decision Tree Regression in Python - Step 3.mp4 19.48MB
  31. 10. Decision Tree Regression/5. Decision Tree Regression in Python - Step 3.srt 4.93KB
  32. 10. Decision Tree Regression/6. Decision Tree Regression in Python - Step 4.mp4 54.79MB
  33. 10. Decision Tree Regression/6. Decision Tree Regression in Python - Step 4.srt 15.47KB
  34. 10. Decision Tree Regression/7. Decision Tree Regression in R.mp4 44.38MB
  35. 10. Decision Tree Regression/7. Decision Tree Regression in R.srt 32.15KB
  36. 11. Random Forest Regression/1. Random Forest Regression Intuition.mp4 13.83MB
  37. 11. Random Forest Regression/1. Random Forest Regression Intuition.srt 10.22KB
  38. 11. Random Forest Regression/2. Make sure you have your Machine Learning A-Z folder ready.html 776B
  39. 11. Random Forest Regression/2.1 Machine Learning A-Z (Codes and Datasets).zip 5.28MB
  40. 11. Random Forest Regression/3. Random Forest Regression in Python.mp4 74.40MB
  41. 11. Random Forest Regression/3. Random Forest Regression in Python.srt 21.07KB
  42. 11. Random Forest Regression/4. Random Forest Regression in R.mp4 40.35MB
  43. 11. Random Forest Regression/4. Random Forest Regression in R.srt 28.11KB
  44. 12. Evaluating Regression Models Performance/1. R-Squared Intuition.mp4 8.86MB
  45. 12. Evaluating Regression Models Performance/1. R-Squared Intuition.srt 7.17KB
  46. 12. Evaluating Regression Models Performance/2. Adjusted R-Squared Intuition.mp4 19.29MB
  47. 12. Evaluating Regression Models Performance/2. Adjusted R-Squared Intuition.srt 14.45KB
  48. 13. Regression Model Selection in Python/1. Make sure you have this Model Selection folder ready.html 973B
  49. 13. Regression Model Selection in Python/1.1 Machine Learning A-Z (Model Selection).zip 160.01KB
  50. 13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4 123.59MB
  51. 13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.srt 30.20KB
  52. 13. Regression Model Selection in Python/3. THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION!.mp4 56.78MB
  53. 13. Regression Model Selection in Python/3. THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION!.srt 13.62KB
  54. 13. Regression Model Selection in Python/4. Conclusion of Part 2 - Regression.html 1.71KB
  55. 13. Regression Model Selection in Python/4.1 Regression_Bonus.zip 364.49KB
  56. 14. Regression Model Selection in R/1. Evaluating Regression Models Performance - Homework's Final Part.mp4 21.90MB
  57. 14. Regression Model Selection in R/1. Evaluating Regression Models Performance - Homework's Final Part.srt 12.93KB
  58. 14. Regression Model Selection in R/2. Interpreting Linear Regression Coefficients.mp4 24.21MB
  59. 14. Regression Model Selection in R/2. Interpreting Linear Regression Coefficients.srt 13.32KB
  60. 14. Regression Model Selection in R/3. Conclusion of Part 2 - Regression.html 1.71KB
  61. 14. Regression Model Selection in R/3.1 Regression_Bonus.zip 364.49KB
  62. 15. -------------------- Part 3 Classification --------------------/1. Welcome to Part 3 - Classification.html 831B
  63. 16. Logistic Regression/1. Logistic Regression Intuition.mp4 29.18MB
  64. 16. Logistic Regression/1. Logistic Regression Intuition.srt 23.94KB
  65. 16. Logistic Regression/10. Logistic Regression in R - Step 1.mp4 12.58MB
  66. 16. Logistic Regression/10. Logistic Regression in R - Step 1.srt 8.92KB
  67. 16. Logistic Regression/11. Logistic Regression in R - Step 2.mp4 7.84MB
  68. 16. Logistic Regression/11. Logistic Regression in R - Step 2.srt 4.35KB
  69. 16. Logistic Regression/12. Logistic Regression in R - Step 3.mp4 14.59MB
  70. 16. Logistic Regression/12. Logistic Regression in R - Step 3.srt 7.42KB
  71. 16. Logistic Regression/13. Logistic Regression in R - Step 4.mp4 6.90MB
  72. 16. Logistic Regression/13. Logistic Regression in R - Step 4.srt 3.98KB
  73. 16. Logistic Regression/14. Warning - Update.html 1.33KB
  74. 16. Logistic Regression/15. Logistic Regression in R - Step 5.mp4 51.69MB
  75. 16. Logistic Regression/15. Logistic Regression in R - Step 5.srt 29.10KB
  76. 16. Logistic Regression/16. R Classification Template.mp4 12.47MB
  77. 16. Logistic Regression/16. R Classification Template.srt 6.70KB
  78. 16. Logistic Regression/17. Machine Learning Regression and Classification BONUS.html 819B
  79. 16. Logistic Regression/18. Logistic Regression.html 125B
  80. 16. Logistic Regression/19. BONUS Logistic Regression Practical Case Study.html 619B
  81. 16. Logistic Regression/2. Make sure you have your Machine Learning A-Z folder ready.html 776B
  82. 16. Logistic Regression/2.1 Machine Learning A-Z (Codes and Datasets).zip 5.28MB
  83. 16. Logistic Regression/3. Logistic Regression in Python - Step 1.mp4 44.60MB
  84. 16. Logistic Regression/3. Logistic Regression in Python - Step 1.srt 14.49KB
  85. 16. Logistic Regression/4. Logistic Regression in Python - Step 2.mp4 84.67MB
  86. 16. Logistic Regression/4. Logistic Regression in Python - Step 2.srt 21.41KB
  87. 16. Logistic Regression/5. Logistic Regression in Python - Step 3.mp4 43.06MB
  88. 16. Logistic Regression/5. Logistic Regression in Python - Step 3.srt 10.89KB
  89. 16. Logistic Regression/6. Logistic Regression in Python - Step 4.mp4 45.19MB
  90. 16. Logistic Regression/6. Logistic Regression in Python - Step 4.srt 11.19KB
  91. 16. Logistic Regression/7. Logistic Regression in Python - Step 5.mp4 30.59MB
  92. 16. Logistic Regression/7. Logistic Regression in Python - Step 5.srt 9.50KB
  93. 16. Logistic Regression/8. Logistic Regression in Python - Step 6.mp4 52.97MB
  94. 16. Logistic Regression/8. Logistic Regression in Python - Step 6.srt 13.66KB
  95. 16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4 118.63MB
  96. 16. Logistic Regression/9. Logistic Regression in Python - Step 7.srt 22.52KB
  97. 17. K-Nearest Neighbors (K-NN)/1. K-Nearest Neighbor Intuition.mp4 9.27MB
  98. 17. K-Nearest Neighbors (K-NN)/1. K-Nearest Neighbor Intuition.srt 8.04KB
  99. 17. K-Nearest Neighbors (K-NN)/2. Make sure you have your Machine Learning A-Z folder ready.html 776B
  100. 17. K-Nearest Neighbors (K-NN)/2.1 Machine Learning A-Z (Codes and Datasets).zip 5.27MB
  101. 17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4 146.62MB
  102. 17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.srt 30.75KB
  103. 17. K-Nearest Neighbors (K-NN)/4. K-NN in R.mp4 41.38MB
  104. 17. K-Nearest Neighbors (K-NN)/4. K-NN in R.srt 23.37KB
  105. 18. Support Vector Machine (SVM)/1. K-Nearest Neighbor.html 125B
  106. 18. Support Vector Machine (SVM)/2. SVM Intuition.mp4 18.01MB
  107. 18. Support Vector Machine (SVM)/2. SVM Intuition.srt 15.72KB
  108. 18. Support Vector Machine (SVM)/3. Make sure you have your Machine Learning A-Z folder ready.html 776B
  109. 18. Support Vector Machine (SVM)/3.1 Machine Learning A-Z (Codes and Datasets).zip 5.27MB
  110. 18. Support Vector Machine (SVM)/4. SVM in Python.mp4 104.75MB
  111. 18. Support Vector Machine (SVM)/4. SVM in Python.srt 23.96KB
  112. 18. Support Vector Machine (SVM)/5. SVM in R.mp4 32.27MB
  113. 18. Support Vector Machine (SVM)/5. SVM in R.srt 18.40KB
  114. 18. Support Vector Machine (SVM)/5.1 SVM.zip 8.27KB
  115. 19. Kernel SVM/1. Kernel SVM Intuition.mp4 5.80MB
  116. 19. Kernel SVM/1. Kernel SVM Intuition.srt 4.41KB
  117. 19. Kernel SVM/2. Mapping to a higher dimension.mp4 13.74MB
  118. 19. Kernel SVM/2. Mapping to a higher dimension.srt 10.54KB
  119. 19. Kernel SVM/3. The Kernel Trick.mp4 29.29MB
  120. 19. Kernel SVM/3. The Kernel Trick.srt 16.52KB
  121. 19. Kernel SVM/4. Types of Kernel Functions.mp4 12.30MB
  122. 19. Kernel SVM/4. Types of Kernel Functions.srt 4.94KB
  123. 19. Kernel SVM/5. Non-Linear Kernel SVR (Advanced).mp4 65.65MB
  124. 19. Kernel SVM/5. Non-Linear Kernel SVR (Advanced).srt 16.03KB
  125. 19. Kernel SVM/6. Make sure you have your Machine Learning A-Z folder ready.html 776B
  126. 19. Kernel SVM/6.1 Machine Learning A-Z (Codes and Datasets).zip 5.27MB
  127. 19. Kernel SVM/7. Kernel SVM in Python.mp4 88.37MB
  128. 19. Kernel SVM/7. Kernel SVM in Python.srt 20.43KB
  129. 19. Kernel SVM/8. Kernel SVM in R.mp4 40.46MB
  130. 19. Kernel SVM/8. Kernel SVM in R.srt 25.44KB
  131. 2. -------------------- Part 1 Data Preprocessing --------------------/1. Welcome to Part 1 - Data Preprocessing.html 531B
  132. 20. Naive Bayes/1. Bayes Theorem.mp4 43.91MB
  133. 20. Naive Bayes/1. Bayes Theorem.srt 34.45KB
  134. 20. Naive Bayes/2. Naive Bayes Intuition.mp4 27.79MB
  135. 20. Naive Bayes/2. Naive Bayes Intuition.srt 23.34KB
  136. 20. Naive Bayes/3. Naive Bayes Intuition (Challenge Reveal).mp4 13.27MB
  137. 20. Naive Bayes/3. Naive Bayes Intuition (Challenge Reveal).srt 9.50KB
  138. 20. Naive Bayes/4. Naive Bayes Intuition (Extras).mp4 18.95MB
  139. 20. Naive Bayes/4. Naive Bayes Intuition (Extras).srt 15.93KB
  140. 20. Naive Bayes/5. Make sure you have your Machine Learning A-Z folder ready.html 776B
  141. 20. Naive Bayes/5.1 Machine Learning A-Z (Codes and Datasets).zip 5.27MB
  142. 20. Naive Bayes/6. Naive Bayes in Python.mp4 100.47MB
  143. 20. Naive Bayes/6. Naive Bayes in Python.srt 22.25KB
  144. 20. Naive Bayes/7. Naive Bayes in R.mp4 37.31MB
  145. 20. Naive Bayes/7. Naive Bayes in R.srt 21.90KB
  146. 21. Decision Tree Classification/1. Decision Tree Classification Intuition.mp4 18.79MB
  147. 21. Decision Tree Classification/1. Decision Tree Classification Intuition.srt 12.87KB
  148. 21. Decision Tree Classification/2. Make sure you have your Machine Learning A-Z folder ready.html 776B
  149. 21. Decision Tree Classification/2.1 Machine Learning A-Z (Codes and Datasets).zip 5.28MB
  150. 21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4 108.06MB
  151. 21. Decision Tree Classification/3. Decision Tree Classification in Python.srt 22.26KB
  152. 21. Decision Tree Classification/4. Decision Tree Classification in R.mp4 51.19MB
  153. 21. Decision Tree Classification/4. Decision Tree Classification in R.srt 29.14KB
  154. 22. Random Forest Classification/1. Random Forest Classification Intuition.mp4 19.43MB
  155. 22. Random Forest Classification/1. Random Forest Classification Intuition.srt 7.05KB
  156. 22. Random Forest Classification/2. Make sure you have your Machine Learning A-Z folder ready.html 776B
  157. 22. Random Forest Classification/2.1 Machine Learning A-Z (Codes and Datasets).zip 5.28MB
  158. 22. Random Forest Classification/3. Random Forest Classification in Python.mp4 96.70MB
  159. 22. Random Forest Classification/3. Random Forest Classification in Python.srt 21.42KB
  160. 22. Random Forest Classification/4. Random Forest Classification in R.mp4 49.40MB
  161. 22. Random Forest Classification/4. Random Forest Classification in R.srt 32.40KB
  162. 23. Classification Model Selection in Python/1. Make sure you have this Model Selection folder ready.html 985B
  163. 23. Classification Model Selection in Python/1.1 Machine Learning A-Z (Model Selection).zip 160.01KB
  164. 23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4 136.00MB
  165. 23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.srt 34.43KB
  166. 24. Evaluating Classification Models Performance/1. False Positives & False Negatives.mp4 13.65MB
  167. 24. Evaluating Classification Models Performance/1. False Positives & False Negatives.srt 11.29KB
  168. 24. Evaluating Classification Models Performance/2. Confusion Matrix.mp4 8.21MB
  169. 24. Evaluating Classification Models Performance/2. Confusion Matrix.srt 7.51KB
  170. 24. Evaluating Classification Models Performance/3. Accuracy Paradox.mp4 3.81MB
  171. 24. Evaluating Classification Models Performance/3. Accuracy Paradox.srt 3.24KB
  172. 24. Evaluating Classification Models Performance/4. CAP Curve.mp4 18.69MB
  173. 24. Evaluating Classification Models Performance/4. CAP Curve.srt 16.18KB
  174. 24. Evaluating Classification Models Performance/5. CAP Curve Analysis.mp4 11.51MB
  175. 24. Evaluating Classification Models Performance/5. CAP Curve Analysis.srt 9.24KB
  176. 24. Evaluating Classification Models Performance/6. Conclusion of Part 3 - Classification.html 3.35KB
  177. 24. Evaluating Classification Models Performance/6.1 Classification_Pros_Cons.pdf 29.25KB
  178. 25. -------------------- Part 4 Clustering --------------------/1. Welcome to Part 4 - Clustering.html 734B
  179. 26. K-Means Clustering/1. K-Means Clustering Intuition.mp4 26.86MB
  180. 26. K-Means Clustering/1. K-Means Clustering Intuition.srt 23.34KB
  181. 26. K-Means Clustering/10. K-Means Clustering in R.mp4 29.00MB
  182. 26. K-Means Clustering/10. K-Means Clustering in R.srt 19.44KB
  183. 26. K-Means Clustering/2. K-Means Random Initialization Trap.mp4 15.37MB
  184. 26. K-Means Clustering/2. K-Means Random Initialization Trap.srt 12.95KB
  185. 26. K-Means Clustering/3. K-Means Selecting The Number Of Clusters.mp4 23.14MB
  186. 26. K-Means Clustering/3. K-Means Selecting The Number Of Clusters.srt 18.46KB
  187. 26. K-Means Clustering/4. Make sure you have your Machine Learning A-Z folder ready.html 776B
  188. 26. K-Means Clustering/4.1 Machine Learning A-Z (Codes and Datasets).zip 5.27MB
  189. 26. K-Means Clustering/5. K-Means Clustering in Python - Step 1.mp4 38.10MB
  190. 26. K-Means Clustering/5. K-Means Clustering in Python - Step 1.srt 12.88KB
  191. 26. K-Means Clustering/6. K-Means Clustering in Python - Step 2.mp4 54.08MB
  192. 26. K-Means Clustering/6. K-Means Clustering in Python - Step 2.srt 15.61KB
  193. 26. K-Means Clustering/7. K-Means Clustering in Python - Step 3.mp4 81.34MB
  194. 26. K-Means Clustering/7. K-Means Clustering in Python - Step 3.srt 23.64KB
  195. 26. K-Means Clustering/8. K-Means Clustering in Python - Step 4.mp4 35.11MB
  196. 26. K-Means Clustering/8. K-Means Clustering in Python - Step 4.srt 9.40KB
  197. 26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4 120.51MB
  198. 26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.srt 29.09KB
  199. 27. Hierarchical Clustering/1. K-Means Clustering.html 125B
  200. 27. Hierarchical Clustering/10. Hierarchical Clustering in R - Step 2.mp4 11.15MB
  201. 27. Hierarchical Clustering/10. Hierarchical Clustering in R - Step 2.srt 8.14KB
  202. 27. Hierarchical Clustering/11. Hierarchical Clustering in R - Step 3.mp4 7.80MB
  203. 27. Hierarchical Clustering/11. Hierarchical Clustering in R - Step 3.srt 4.73KB
  204. 27. Hierarchical Clustering/12. Hierarchical Clustering in R - Step 4.mp4 7.44MB
  205. 27. Hierarchical Clustering/12. Hierarchical Clustering in R - Step 4.srt 3.83KB
  206. 27. Hierarchical Clustering/13. Hierarchical Clustering in R - Step 5.mp4 6.88MB
  207. 27. Hierarchical Clustering/13. Hierarchical Clustering in R - Step 5.srt 4.03KB
  208. 27. Hierarchical Clustering/14. Hierarchical Clustering.html 125B
  209. 27. Hierarchical Clustering/15. Conclusion of Part 4 - Clustering.html 516B
  210. 27. Hierarchical Clustering/15.1 Clustering-Pros-Cons.pdf 25.76KB
  211. 27. Hierarchical Clustering/2. Hierarchical Clustering Intuition.mp4 16.52MB
  212. 27. Hierarchical Clustering/2. Hierarchical Clustering Intuition.srt 14.59KB
  213. 27. Hierarchical Clustering/3. Hierarchical Clustering How Dendrograms Work.mp4 17.46MB
  214. 27. Hierarchical Clustering/3. Hierarchical Clustering How Dendrograms Work.srt 14.35KB
  215. 27. Hierarchical Clustering/4. Hierarchical Clustering Using Dendrograms.mp4 22.82MB
  216. 27. Hierarchical Clustering/4. Hierarchical Clustering Using Dendrograms.srt 17.60KB
  217. 27. Hierarchical Clustering/5. Make sure you have your Machine Learning A-Z folder ready.html 776B
  218. 27. Hierarchical Clustering/5.1 Machine Learning A-Z (Codes and Datasets).zip 5.27MB
  219. 27. Hierarchical Clustering/6. Hierarchical Clustering in Python - Step 1.mp4 40.22MB
  220. 27. Hierarchical Clustering/6. Hierarchical Clustering in Python - Step 1.srt 10.57KB
  221. 27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4 135.93MB
  222. 27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.srt 26.22KB
  223. 27. Hierarchical Clustering/8. Hierarchical Clustering in Python - Step 3.mp4 75.29MB
  224. 27. Hierarchical Clustering/8. Hierarchical Clustering in Python - Step 3.srt 18.17KB
  225. 27. Hierarchical Clustering/9. Hierarchical Clustering in R - Step 1.mp4 7.39MB
  226. 27. Hierarchical Clustering/9. Hierarchical Clustering in R - Step 1.srt 6.35KB
  227. 28. -------------------- Part 5 Association Rule Learning --------------------/1. Welcome to Part 5 - Association Rule Learning.html 425B
  228. 29. Apriori/1. Apriori Intuition.mp4 35.02MB
  229. 29. Apriori/1. Apriori Intuition.srt 25.91KB
  230. 29. Apriori/2. Make sure you have your Machine Learning A-Z folder ready.html 776B
  231. 29. Apriori/2.1 Machine Learning A-Z (Codes and Datasets).zip 5.27MB
  232. 29. Apriori/3. Apriori in Python - Step 1.mp4 69.85MB
  233. 29. Apriori/3. Apriori in Python - Step 1.srt 14.29KB
  234. 29. Apriori/4. Apriori in Python - Step 2.mp4 107.70MB
  235. 29. Apriori/4. Apriori in Python - Step 2.srt 26.41KB
  236. 29. Apriori/5. Apriori in Python - Step 3.mp4 69.20MB
  237. 29. Apriori/5. Apriori in Python - Step 3.srt 19.25KB
  238. 29. Apriori/6. Apriori in Python - Step 4.mp4 164.33MB
  239. 29. Apriori/6. Apriori in Python - Step 4.srt 31.25KB
  240. 29. Apriori/7. Apriori in R - Step 1.mp4 42.88MB
  241. 29. Apriori/7. Apriori in R - Step 1.srt 31.05KB
  242. 29. Apriori/8. Apriori in R - Step 2.mp4 30.51MB
  243. 29. Apriori/8. Apriori in R - Step 2.srt 23.02KB
  244. 29. Apriori/9. Apriori in R - Step 3.mp4 43.85MB
  245. 29. Apriori/9. Apriori in R - Step 3.srt 31.16KB
  246. 3. Data Preprocessing in Python/1. Make sure you have your Machine Learning A-Z folder ready.html 664B
  247. 3. Data Preprocessing in Python/1.1 Machine Learning A-Z (Codes and Datasets).zip 5.28MB
  248. 3. Data Preprocessing in Python/2. Getting Started.mp4 54.34MB
  249. 3. Data Preprocessing in Python/2. Getting Started.srt 16.73KB
  250. 3. Data Preprocessing in Python/3. Importing the Libraries.mp4 15.97MB
  251. 3. Data Preprocessing in Python/3. Importing the Libraries.srt 5.62KB
  252. 3. Data Preprocessing in Python/4. Importing the Dataset.mp4 71.78MB
  253. 3. Data Preprocessing in Python/4. Importing the Dataset.srt 71.82MB
  254. 3. Data Preprocessing in Python/5. For Python learners, summary of Object-oriented programming classes & objects.html 1.47KB
  255. 3. Data Preprocessing in Python/6. Taking care of Missing Data.mp4 69.01MB
  256. 3. Data Preprocessing in Python/6. Taking care of Missing Data.srt 18.05KB
  257. 3. Data Preprocessing in Python/7. Encoding Categorical Data.mp4 88.64MB
  258. 3. Data Preprocessing in Python/7. Encoding Categorical Data.srt 21.98KB
  259. 3. Data Preprocessing in Python/8. Splitting the dataset into the Training set and Test set.mp4 67.62MB
  260. 3. Data Preprocessing in Python/8. Splitting the dataset into the Training set and Test set.srt 20.02KB
  261. 3. Data Preprocessing in Python/9. Feature Scaling.mp4 101.72MB
  262. 3. Data Preprocessing in Python/9. Feature Scaling.srt 30.26KB
  263. 30. Eclat/1. Eclat Intuition.mp4 10.66MB
  264. 30. Eclat/1. Eclat Intuition.srt 8.10KB
  265. 30. Eclat/2. Make sure you have your Machine Learning A-Z folder ready.html 776B
  266. 30. Eclat/2.1 Machine Learning A-Z (Codes and Datasets).zip 5.28MB
  267. 30. Eclat/3. Eclat in Python.mp4 75.55MB
  268. 30. Eclat/3. Eclat in Python.srt 18.85KB
  269. 30. Eclat/4. Eclat in R.mp4 20.68MB
  270. 30. Eclat/4. Eclat in R.srt 15.79KB
  271. 30. Eclat/4.1 Eclat.zip 48.54KB
  272. 31. -------------------- Part 6 Reinforcement Learning --------------------/1. Welcome to Part 6 - Reinforcement Learning.html 1.21KB
  273. 32. Upper Confidence Bound (UCB)/1. The Multi-Armed Bandit Problem.mp4 30.20MB
  274. 32. Upper Confidence Bound (UCB)/1. The Multi-Armed Bandit Problem.srt 22.27KB
  275. 32. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in Python - Step 7.mp4 43.33MB
  276. 32. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in Python - Step 7.srt 11.67KB
  277. 32. Upper Confidence Bound (UCB)/11. Upper Confidence Bound in R - Step 1.mp4 28.06MB
  278. 32. Upper Confidence Bound (UCB)/11. Upper Confidence Bound in R - Step 1.srt 20.54KB
  279. 32. Upper Confidence Bound (UCB)/12. Upper Confidence Bound in R - Step 2.mp4 29.01MB
  280. 32. Upper Confidence Bound (UCB)/12. Upper Confidence Bound in R - Step 2.srt 22.17KB
  281. 32. Upper Confidence Bound (UCB)/13. Upper Confidence Bound in R - Step 3.mp4 47.21MB
  282. 32. Upper Confidence Bound (UCB)/13. Upper Confidence Bound in R - Step 3.srt 25.32KB
  283. 32. Upper Confidence Bound (UCB)/14. Upper Confidence Bound in R - Step 4.mp4 7.40MB
  284. 32. Upper Confidence Bound (UCB)/14. Upper Confidence Bound in R - Step 4.srt 4.41KB
  285. 32. Upper Confidence Bound (UCB)/2. Upper Confidence Bound (UCB) Intuition.mp4 29.33MB
  286. 32. Upper Confidence Bound (UCB)/2. Upper Confidence Bound (UCB) Intuition.srt 21.92KB
  287. 32. Upper Confidence Bound (UCB)/3. Make sure you have your Machine Learning A-Z folder ready.html 776B
  288. 32. Upper Confidence Bound (UCB)/3.1 Machine Learning A-Z (Codes and Datasets).zip 5.28MB
  289. 32. Upper Confidence Bound (UCB)/4. Upper Confidence Bound in Python - Step 1.mp4 58.74MB
  290. 32. Upper Confidence Bound (UCB)/4. Upper Confidence Bound in Python - Step 1.srt 58.77MB
  291. 32. Upper Confidence Bound (UCB)/5. Upper Confidence Bound in Python - Step 2.mp4 17.74MB
  292. 32. Upper Confidence Bound (UCB)/5. Upper Confidence Bound in Python - Step 2.srt 6.38KB
  293. 32. Upper Confidence Bound (UCB)/6. Upper Confidence Bound in Python - Step 3.mp4 38.47MB
  294. 32. Upper Confidence Bound (UCB)/6. Upper Confidence Bound in Python - Step 3.srt 11.02KB
  295. 32. Upper Confidence Bound (UCB)/7. Upper Confidence Bound in Python - Step 4.mp4 85.38MB
  296. 32. Upper Confidence Bound (UCB)/7. Upper Confidence Bound in Python - Step 4.srt 25.12KB
  297. 32. Upper Confidence Bound (UCB)/8. Upper Confidence Bound in Python - Step 5.mp4 32.43MB
  298. 32. Upper Confidence Bound (UCB)/8. Upper Confidence Bound in Python - Step 5.srt 9.50KB
  299. 32. Upper Confidence Bound (UCB)/9. Upper Confidence Bound in Python - Step 6.mp4 44.90MB
  300. 32. Upper Confidence Bound (UCB)/9. Upper Confidence Bound in Python - Step 6.srt 11.24KB
  301. 33. Thompson Sampling/1. Thompson Sampling Intuition.mp4 37.27MB
  302. 33. Thompson Sampling/1. Thompson Sampling Intuition.srt 27.53KB
  303. 33. Thompson Sampling/10. Thompson Sampling in R - Step 2.mp4 7.46MB
  304. 33. Thompson Sampling/10. Thompson Sampling in R - Step 2.srt 5.29KB
  305. 33. Thompson Sampling/2. Algorithm Comparison UCB vs Thompson Sampling.mp4 14.08MB
  306. 33. Thompson Sampling/2. Algorithm Comparison UCB vs Thompson Sampling.srt 11.14KB
  307. 33. Thompson Sampling/3. Make sure you have your Machine Learning A-Z folder ready.html 776B
  308. 33. Thompson Sampling/3.1 Machine Learning A-Z (Codes and Datasets).zip 5.27MB
  309. 33. Thompson Sampling/4. Thompson Sampling in Python - Step 1.mp4 30.59MB
  310. 33. Thompson Sampling/4. Thompson Sampling in Python - Step 1.srt 9.74KB
  311. 33. Thompson Sampling/5. Thompson Sampling in Python - Step 2.mp4 70.01MB
  312. 33. Thompson Sampling/5. Thompson Sampling in Python - Step 2.srt 17.89KB
  313. 33. Thompson Sampling/6. Thompson Sampling in Python - Step 3.mp4 78.66MB
  314. 33. Thompson Sampling/6. Thompson Sampling in Python - Step 3.srt 20.54KB
  315. 33. Thompson Sampling/7. Thompson Sampling in Python - Step 4.mp4 44.65MB
  316. 33. Thompson Sampling/7. Thompson Sampling in Python - Step 4.srt 11.33KB
  317. 33. Thompson Sampling/8. Additional Resource for this Section.html 2.24KB
  318. 33. Thompson Sampling/9. Thompson Sampling in R - Step 1.mp4 40.93MB
  319. 33. Thompson Sampling/9. Thompson Sampling in R - Step 1.srt 27.86KB
  320. 34/1. Welcome to Part 7 - Natural Language Processing.html 1.69KB
  321. 34/10. Natural Language Processing in Python - Step 4.mp4 60.11MB
  322. 34/10. Natural Language Processing in Python - Step 4.srt 16.78KB
  323. 34/11. Natural Language Processing in Python - Step 5.mp4 89.63MB
  324. 34/11. Natural Language Processing in Python - Step 5.srt 26.38KB
  325. 34/12. Natural Language Processing in Python - Step 6.mp4 52.91MB
  326. 34/12. Natural Language Processing in Python - Step 6.srt 15.02KB
  327. 34/13. Natural Language Processing in Python - BONUS.html 1.10KB
  328. 34/14. Homework Challenge.html 1.36KB
  329. 34/15. Natural Language Processing in R - Step 1.mp4 40.38MB
  330. 34/15. Natural Language Processing in R - Step 1.srt 24.00KB
  331. 34/16. Natural Language Processing in R - Step 2.mp4 17.47MB
  332. 34/16. Natural Language Processing in R - Step 2.srt 12.88KB
  333. 34/17. Natural Language Processing in R - Step 3.mp4 13.52MB
  334. 34/17. Natural Language Processing in R - Step 3.srt 10.12KB
  335. 34/18. Natural Language Processing in R - Step 4.mp4 6.51MB
  336. 34/18. Natural Language Processing in R - Step 4.srt 4.66KB
  337. 34/19. Natural Language Processing in R - Step 5.mp4 4.57MB
  338. 34/19. Natural Language Processing in R - Step 5.srt 3.25KB
  339. 34/2. NLP Intuition.mp4 12.71MB
  340. 34/2. NLP Intuition.srt 4.57KB
  341. 34/20. Natural Language Processing in R - Step 6.mp4 12.73MB
  342. 34/20. Natural Language Processing in R - Step 6.srt 8.35KB
  343. 34/21. Natural Language Processing in R - Step 7.mp4 7.52MB
  344. 34/21. Natural Language Processing in R - Step 7.srt 5.59KB
  345. 34/22. Natural Language Processing in R - Step 8.mp4 13.27MB
  346. 34/22. Natural Language Processing in R - Step 8.srt 8.01KB
  347. 34/23. Natural Language Processing in R - Step 9.mp4 28.99MB
  348. 34/23. Natural Language Processing in R - Step 9.srt 19.60KB
  349. 34/24. Natural Language Processing in R - Step 10.mp4 41.19MB
  350. 34/24. Natural Language Processing in R - Step 10.srt 26.29KB
  351. 34/25. Homework Challenge.html 1.40KB
  352. 34/26. BONUS NLP BERT.html 906B
  353. 34/3. Types of Natural Language Processing.mp4 22.51MB
  354. 34/3. Types of Natural Language Processing.srt 5.94KB
  355. 34/4. Classical vs Deep Learning Models.mp4 83.96MB
  356. 34/4. Classical vs Deep Learning Models.srt 16.14KB
  357. 34/5. Bag-Of-Words Model.mp4 103.50MB
  358. 34/5. Bag-Of-Words Model.srt 28.31KB
  359. 34/6. Make sure you have your Machine Learning A-Z folder ready.html 776B
  360. 34/6.1 Machine Learning A-Z (Codes and Datasets).zip 5.27MB
  361. 34/7. Natural Language Processing in Python - Step 1.mp4 34.07MB
  362. 34/7. Natural Language Processing in Python - Step 1.srt 11.14KB
  363. 34/8. Natural Language Processing in Python - Step 2.mp4 40.47MB
  364. 34/8. Natural Language Processing in Python - Step 2.srt 10.77KB
  365. 34/9. Natural Language Processing in Python - Step 3.mp4 60.61MB
  366. 34/9. Natural Language Processing in Python - Step 3.srt 19.11KB
  367. 35. -------------------- Part 8 Deep Learning --------------------/1. Welcome to Part 8 - Deep Learning.html 870B
  368. 35. -------------------- Part 8 Deep Learning --------------------/2. What is Deep Learning.mp4 31.32MB
  369. 35. -------------------- Part 8 Deep Learning --------------------/2. What is Deep Learning.srt 18.13KB
  370. 36. Artificial Neural Networks/1. Plan of attack.mp4 4.75MB
  371. 36. Artificial Neural Networks/1. Plan of attack.srt 4.00KB
  372. 36. Artificial Neural Networks/10. Make sure you have your Machine Learning A-Z folder ready.html 776B
  373. 36. Artificial Neural Networks/10.1 Machine Learning A-Z (Codes and Datasets).zip 5.27MB
  374. 36. Artificial Neural Networks/11. ANN in Python - Step 1.mp4 66.48MB
  375. 36. Artificial Neural Networks/11. ANN in Python - Step 1.srt 17.37KB
  376. 36. Artificial Neural Networks/12. Check out our free course on ANN for Regression.html 533B
  377. 36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 111.03MB
  378. 36. Artificial Neural Networks/13. ANN in Python - Step 2.srt 31.00KB
  379. 36. Artificial Neural Networks/14. ANN in Python - Step 3.mp4 75.08MB
  380. 36. Artificial Neural Networks/14. ANN in Python - Step 3.srt 23.46KB
  381. 36. Artificial Neural Networks/15. ANN in Python - Step 4.mp4 65.38MB
  382. 36. Artificial Neural Networks/15. ANN in Python - Step 4.srt 20.20KB
  383. 36. Artificial Neural Networks/16. ANN in Python - Step 5.mp4 101.35MB
  384. 36. Artificial Neural Networks/16. ANN in Python - Step 5.srt 25.76KB
  385. 36. Artificial Neural Networks/17. ANN in R - Step 1.mp4 38.56MB
  386. 36. Artificial Neural Networks/17. ANN in R - Step 1.srt 26.79KB
  387. 36. Artificial Neural Networks/18. ANN in R - Step 2.mp4 14.18MB
  388. 36. Artificial Neural Networks/18. ANN in R - Step 2.srt 10.12KB
  389. 36. Artificial Neural Networks/19. ANN in R - Step 3.mp4 28.95MB
  390. 36. Artificial Neural Networks/19. ANN in R - Step 3.srt 18.88KB
  391. 36. Artificial Neural Networks/2. The Neuron.mp4 29.87MB
  392. 36. Artificial Neural Networks/2. The Neuron.srt 25.04KB
  393. 36. Artificial Neural Networks/20. ANN in R - Step 4 (Last step).mp4 33.44MB
  394. 36. Artificial Neural Networks/20. ANN in R - Step 4 (Last step).srt 20.68KB
  395. 36. Artificial Neural Networks/21. Deep Learning BONUS #1.html 1011B
  396. 36. Artificial Neural Networks/22. BONUS ANN Case Study.html 544B
  397. 36. Artificial Neural Networks/3. The Activation Function.mp4 14.76MB
  398. 36. Artificial Neural Networks/3. The Activation Function.srt 12.03KB
  399. 36. Artificial Neural Networks/4. How do Neural Networks work.mp4 23.54MB
  400. 36. Artificial Neural Networks/4. How do Neural Networks work.srt 19.11KB
  401. 36. Artificial Neural Networks/5. How do Neural Networks learn.mp4 26.56MB
  402. 36. Artificial Neural Networks/5. How do Neural Networks learn.srt 18.95KB
  403. 36. Artificial Neural Networks/6. Gradient Descent.mp4 18.54MB
  404. 36. Artificial Neural Networks/6. Gradient Descent.srt 14.02KB
  405. 36. Artificial Neural Networks/7. Stochastic Gradient Descent.mp4 16.82MB
  406. 36. Artificial Neural Networks/7. Stochastic Gradient Descent.srt 12.14KB
  407. 36. Artificial Neural Networks/8. Backpropagation.mp4 10.92MB
  408. 36. Artificial Neural Networks/8. Backpropagation.srt 7.11KB
  409. 36. Artificial Neural Networks/9. Business Problem Description.mp4 16.37MB
  410. 36. Artificial Neural Networks/9. Business Problem Description.srt 7.30KB
  411. 37. Convolutional Neural Networks/1. Plan of attack.mp4 5.90MB
  412. 37. Convolutional Neural Networks/1. Plan of attack.srt 5.24KB
  413. 37. Convolutional Neural Networks/10. Make sure you have your dataset ready.html 797B
  414. 37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip 224.05MB
  415. 37. Convolutional Neural Networks/11. CNN in Python - Step 1.mp4 70.80MB
  416. 37. Convolutional Neural Networks/11. CNN in Python - Step 1.srt 18.29KB
  417. 37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4 106.88MB
  418. 37. Convolutional Neural Networks/12. CNN in Python - Step 2.srt 29.00KB
  419. 37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4 118.59MB
  420. 37. Convolutional Neural Networks/13. CNN in Python - Step 3.srt 107.45MB
  421. 37. Convolutional Neural Networks/14. CNN in Python - Step 4.mp4 40.02MB
  422. 37. Convolutional Neural Networks/14. CNN in Python - Step 4.srt 11.44KB
  423. 37. Convolutional Neural Networks/15. CNN in Python - Step 5.mp4 97.68MB
  424. 37. Convolutional Neural Networks/15. CNN in Python - Step 5.srt 22.49KB
  425. 37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4 152.78MB
  426. 37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.srt 38.78KB
  427. 37. Convolutional Neural Networks/17. Deep Learning BONUS #2.html 923B
  428. 37. Convolutional Neural Networks/2. What are convolutional neural networks.mp4 29.51MB
  429. 37. Convolutional Neural Networks/2. What are convolutional neural networks.srt 22.06KB
  430. 37. Convolutional Neural Networks/3. Step 1 - Convolution Operation.mp4 31.03MB
  431. 37. Convolutional Neural Networks/3. Step 1 - Convolution Operation.srt 23.23KB
  432. 37. Convolutional Neural Networks/4. Step 1(b) - ReLU Layer.mp4 14.09MB
  433. 37. Convolutional Neural Networks/4. Step 1(b) - ReLU Layer.srt 9.20KB
  434. 37. Convolutional Neural Networks/5. Step 2 - Pooling.mp4 40.25MB
  435. 37. Convolutional Neural Networks/5. Step 2 - Pooling.srt 21.04KB
  436. 37. Convolutional Neural Networks/6. Step 3 - Flattening.mp4 3.27MB
  437. 37. Convolutional Neural Networks/6. Step 3 - Flattening.srt 2.54KB
  438. 37. Convolutional Neural Networks/7. Step 4 - Full Connection.mp4 42.74MB
  439. 37. Convolutional Neural Networks/7. Step 4 - Full Connection.srt 28.57KB
  440. 37. Convolutional Neural Networks/8. Summary.mp4 7.91MB
  441. 37. Convolutional Neural Networks/8. Summary.srt 6.02KB
  442. 37. Convolutional Neural Networks/9. Softmax & Cross-Entropy.mp4 33.24MB
  443. 37. Convolutional Neural Networks/9. Softmax & Cross-Entropy.srt 25.27KB
  444. 38. -------------------- Part 9 Dimensionality Reduction --------------------/1. Welcome to Part 9 - Dimensionality Reduction.html 1.26KB
  445. 39. Principal Component Analysis (PCA)/1. Principal Component Analysis (PCA) Intuition.mp4 32.12MB
  446. 39. Principal Component Analysis (PCA)/1. Principal Component Analysis (PCA) Intuition.srt 5.05KB
  447. 39. Principal Component Analysis (PCA)/2. Make sure you have your Machine Learning A-Z folder ready.html 776B
  448. 39. Principal Component Analysis (PCA)/2.1 Machine Learning A-Z (Codes and Datasets).zip 5.28MB
  449. 39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4 112.90MB
  450. 39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.srt 26.45KB
  451. 39. Principal Component Analysis (PCA)/4. PCA in Python - Step 2.mp4 40.79MB
  452. 39. Principal Component Analysis (PCA)/4. PCA in Python - Step 2.srt 9.19KB
  453. 39. Principal Component Analysis (PCA)/5. PCA in R - Step 1.mp4 30.66MB
  454. 39. Principal Component Analysis (PCA)/5. PCA in R - Step 1.srt 18.70KB
  455. 39. Principal Component Analysis (PCA)/6. PCA in R - Step 2.mp4 29.03MB
  456. 39. Principal Component Analysis (PCA)/6. PCA in R - Step 2.srt 16.89KB
  457. 39. Principal Component Analysis (PCA)/7. PCA in R - Step 3.mp4 36.74MB
  458. 39. Principal Component Analysis (PCA)/7. PCA in R - Step 3.srt 19.76KB
  459. 4. Data Preprocessing in R/1. Welcome.html 608B
  460. 4. Data Preprocessing in R/10. Data Preprocessing Template.mp4 50.74MB
  461. 4. Data Preprocessing in R/10. Data Preprocessing Template.srt 8.32KB
  462. 4. Data Preprocessing in R/2. Getting Started.mp4 9.81MB
  463. 4. Data Preprocessing in R/2. Getting Started.srt 2.46KB
  464. 4. Data Preprocessing in R/3. Make sure you have your dataset ready.html 465B
  465. 4. Data Preprocessing in R/4. Dataset Description.mp4 11.84MB
  466. 4. Data Preprocessing in R/4. Dataset Description.srt 3.18KB
  467. 4. Data Preprocessing in R/5. Importing the Dataset.mp4 16.42MB
  468. 4. Data Preprocessing in R/5. Importing the Dataset.srt 4.50KB
  469. 4. Data Preprocessing in R/6. Taking care of Missing Data.mp4 39.79MB
  470. 4. Data Preprocessing in R/6. Taking care of Missing Data.srt 9.05KB
  471. 4. Data Preprocessing in R/7. Encoding Categorical Data.mp4 57.33MB
  472. 4. Data Preprocessing in R/7. Encoding Categorical Data.srt 8.51KB
  473. 4. Data Preprocessing in R/8. Splitting the dataset into the Training set and Test set.mp4 86.50MB
  474. 4. Data Preprocessing in R/8. Splitting the dataset into the Training set and Test set.srt 14.81KB
  475. 4. Data Preprocessing in R/9. Feature Scaling.mp4 78.89MB
  476. 4. Data Preprocessing in R/9. Feature Scaling.srt 13.08KB
  477. 40. Linear Discriminant Analysis (LDA)/1. Linear Discriminant Analysis (LDA) Intuition.mp4 26.99MB
  478. 40. Linear Discriminant Analysis (LDA)/1. Linear Discriminant Analysis (LDA) Intuition.srt 5.11KB
  479. 40. Linear Discriminant Analysis (LDA)/2. Make sure you have your Machine Learning A-Z folder ready.html 776B
  480. 40. Linear Discriminant Analysis (LDA)/2.1 Machine Learning A-Z (Codes and Datasets).zip 5.28MB
  481. 40. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 101.99MB
  482. 40. Linear Discriminant Analysis (LDA)/3. LDA in Python.srt 23.45KB
  483. 40. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 51.29MB
  484. 40. Linear Discriminant Analysis (LDA)/4. LDA in R.srt 29.68KB
  485. 41. Kernel PCA/1. Make sure you have your Machine Learning A-Z folder ready.html 776B
  486. 41. Kernel PCA/1.1 Machine Learning A-Z (Codes and Datasets).zip 5.28MB
  487. 41. Kernel PCA/2. Kernel PCA in Python.mp4 77.50MB
  488. 41. Kernel PCA/2. Kernel PCA in Python.srt 76.00MB
  489. 41. Kernel PCA/3. Kernel PCA in R.mp4 56.58MB
  490. 41. Kernel PCA/3. Kernel PCA in R.srt 30.81KB
  491. 42/1. Welcome to Part 10 - Model Selection & Boosting.html 899B
  492. 43. Model Selection/1. Make sure you have your Machine Learning A-Z folder ready.html 776B
  493. 43. Model Selection/1.1 Machine Learning A-Z (Codes and Datasets).zip 5.28MB
  494. 43. Model Selection/2. k-Fold Cross Validation in Python.mp4 112.37MB
  495. 43. Model Selection/2. k-Fold Cross Validation in Python.srt 28.65KB
  496. 43. Model Selection/3. Grid Search in Python.mp4 151.79MB
  497. 43. Model Selection/3. Grid Search in Python.srt 34.61KB
  498. 43. Model Selection/4. k-Fold Cross Validation in R.mp4 43.64MB
  499. 43. Model Selection/4. k-Fold Cross Validation in R.srt 27.91KB
  500. 43. Model Selection/5. Grid Search in R.mp4 35.54MB
  501. 43. Model Selection/5. Grid Search in R.srt 20.94KB
  502. 44. XGBoost/1. Make sure you have your Machine Learning A-Z folder ready.html 776B
  503. 44. XGBoost/1.1 Machine Learning A-Z (Codes and Datasets).zip 5.28MB
  504. 44. XGBoost/2. XGBoost in Python.mp4 90.00MB
  505. 44. XGBoost/2. XGBoost in Python.srt 23.05KB
  506. 44. XGBoost/3. Model Selection and Boosting BONUS.html 1.14KB
  507. 44. XGBoost/4. XGBoost in R.mp4 47.26MB
  508. 44. XGBoost/4. XGBoost in R.srt 26.00KB
  509. 44. XGBoost/5. THANK YOU bonus video.mp4 52.25MB
  510. 44. XGBoost/5. THANK YOU bonus video.srt 2.31KB
  511. 45. Bonus Lectures/1. YOUR SPECIAL BONUS.html 4.72KB
  512. 5. -------------------- Part 2 Regression --------------------/1. Welcome to Part 2 - Regression.html 875B
  513. 6. Simple Linear Regression/1. Simple Linear Regression Intuition - Step 1.mp4 9.47MB
  514. 6. Simple Linear Regression/1. Simple Linear Regression Intuition - Step 1.srt 8.30KB
  515. 6. Simple Linear Regression/10. Simple Linear Regression in R - Step 2.mp4 14.36MB
  516. 6. Simple Linear Regression/10. Simple Linear Regression in R - Step 2.srt 8.89KB
  517. 6. Simple Linear Regression/11. Simple Linear Regression in R - Step 3.mp4 8.63MB
  518. 6. Simple Linear Regression/11. Simple Linear Regression in R - Step 3.srt 5.52KB
  519. 6. Simple Linear Regression/12. Simple Linear Regression in R - Step 4.mp4 37.38MB
  520. 6. Simple Linear Regression/12. Simple Linear Regression in R - Step 4.srt 23.94KB
  521. 6. Simple Linear Regression/13. Simple Linear Regression.html 125B
  522. 6. Simple Linear Regression/2. Simple Linear Regression Intuition - Step 2.mp4 5.38MB
  523. 6. Simple Linear Regression/2. Simple Linear Regression Intuition - Step 2.srt 4.34KB
  524. 6. Simple Linear Regression/3. Make sure you have your Machine Learning A-Z folder ready.html 776B
  525. 6. Simple Linear Regression/3.1 Machine Learning A-Z (Codes and Datasets).zip 5.27MB
  526. 6. Simple Linear Regression/4. Simple Linear Regression in Python - Step 1.mp4 48.61MB
  527. 6. Simple Linear Regression/4. Simple Linear Regression in Python - Step 1.srt 19.77KB
  528. 6. Simple Linear Regression/5. Simple Linear Regression in Python - Step 2.mp4 39.84MB
  529. 6. Simple Linear Regression/5. Simple Linear Regression in Python - Step 2.srt 11.80KB
  530. 6. Simple Linear Regression/6. Simple Linear Regression in Python - Step 3.mp4 28.22MB
  531. 6. Simple Linear Regression/6. Simple Linear Regression in Python - Step 3.srt 7.34KB
  532. 6. Simple Linear Regression/7. Simple Linear Regression in Python - Step 4.mp4 74.58MB
  533. 6. Simple Linear Regression/7. Simple Linear Regression in Python - Step 4.srt 19.40KB
  534. 6. Simple Linear Regression/8. Simple Linear Regression in Python - BONUS.html 1.12KB
  535. 6. Simple Linear Regression/9. Simple Linear Regression in R - Step 1.mp4 9.54MB
  536. 6. Simple Linear Regression/9. Simple Linear Regression in R - Step 1.srt 7.71KB
  537. 7. Multiple Linear Regression/1. Dataset + Business Problem Description.mp4 9.99MB
  538. 7. Multiple Linear Regression/1. Dataset + Business Problem Description.srt 5.68KB
  539. 7. Multiple Linear Regression/10. Multiple Linear Regression in Python - Step 2.mp4 62.34MB
  540. 7. Multiple Linear Regression/10. Multiple Linear Regression in Python - Step 2.srt 14.86KB
  541. 7. Multiple Linear Regression/11. Multiple Linear Regression in Python - Step 3.mp4 58.21MB
  542. 7. Multiple Linear Regression/11. Multiple Linear Regression in Python - Step 3.srt 16.60KB
  543. 7. Multiple Linear Regression/12. Multiple Linear Regression in Python - Step 4.mp4 72.52MB
  544. 7. Multiple Linear Regression/12. Multiple Linear Regression in Python - Step 4.srt 20.01KB
  545. 7. Multiple Linear Regression/13. Multiple Linear Regression in Python - Backward Elimination.html 3.48KB
  546. 7. Multiple Linear Regression/14. Multiple Linear Regression in Python - BONUS.html 1.20KB
  547. 7. Multiple Linear Regression/15. Multiple Linear Regression in R - Step 1.mp4 17.94MB
  548. 7. Multiple Linear Regression/15. Multiple Linear Regression in R - Step 1.srt 11.85KB
  549. 7. Multiple Linear Regression/16. Multiple Linear Regression in R - Step 2.mp4 25.94MB
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