[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.vtt 4.64KB
  3. 1. Welcome to the course!/10. Installing R and R Studio (Mac, Linux & Windows).mp4 17.55MB
  4. 1. Welcome to the course!/10. Installing R and R Studio (Mac, Linux & Windows).vtt 7.94KB
  5. 1. Welcome to the course!/11. BONUS Meet your instructors.html 1.04KB
  6. 1. Welcome to the course!/12. Some Additional Resources.html 551B
  7. 1. Welcome to the course!/13. FAQBot!.html 1.76KB
  8. 1. Welcome to the course!/2. BONUS Learning Paths.html 2.37KB
  9. 1. Welcome to the course!/3. Why Machine Learning is the Future.mp4 12.81MB
  10. 1. Welcome to the course!/3. Why Machine Learning is the Future.vtt 8.12KB
  11. 1. Welcome to the course!/4. Important notes, tips & tricks for this course.html 3.24KB
  12. 1. Welcome to the course!/5. This PDF resource will help you a lot.html 1.49KB
  13. 1. Welcome to the course!/5.1 Machine_Learning_A_Z_Q_A.pdf.pdf 2.26MB
  14. 1. Welcome to the course!/6. The whole code folder of the course.html 1.02KB
  15. 1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 228.44MB
  16. 1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 52.92MB
  17. 1. Welcome to the course!/7. Updates on Udemy Reviews.vtt 52.93MB
  18. 1. Welcome to the course!/8. Installing Python and Anaconda (Mac, Linux & Windows).mp4 19.52MB
  19. 1. Welcome to the course!/8. Installing Python and Anaconda (Mac, Linux & Windows).vtt 10.98KB
  20. 1. Welcome to the course!/9. Update Recommended Anaconda Version.html 1.32KB
  21. 10. Evaluating Regression Models Performance/1. R-Squared Intuition.mp4 8.85MB
  22. 10. Evaluating Regression Models Performance/1. R-Squared Intuition.vtt 6.46KB
  23. 10. Evaluating Regression Models Performance/2. Adjusted R-Squared Intuition.mp4 19.28MB
  24. 10. Evaluating Regression Models Performance/2. Adjusted R-Squared Intuition.vtt 12.99KB
  25. 10. Evaluating Regression Models Performance/3. Evaluating Regression Models Performance - Homework's Final Part.mp4 21.89MB
  26. 10. Evaluating Regression Models Performance/3. Evaluating Regression Models Performance - Homework's Final Part.vtt 11.59KB
  27. 10. Evaluating Regression Models Performance/4. Interpreting Linear Regression Coefficients.mp4 24.21MB
  28. 10. Evaluating Regression Models Performance/4. Interpreting Linear Regression Coefficients.vtt 12.02KB
  29. 10. Evaluating Regression Models Performance/5. Conclusion of Part 2 - Regression.html 2.91KB
  30. 11. -------------------- Part 3 Classification --------------------/1. Welcome to Part 3 - Classification.html 831B
  31. 12. Logistic Regression/1. Logistic Regression Intuition.mp4 29.17MB
  32. 12. Logistic Regression/1. Logistic Regression Intuition.vtt 20.91KB
  33. 12. Logistic Regression/10. Logistic Regression in R - Step 2.mp4 7.85MB
  34. 12. Logistic Regression/10. Logistic Regression in R - Step 2.vtt 3.92KB
  35. 12. Logistic Regression/11. Logistic Regression in R - Step 3.mp4 14.59MB
  36. 12. Logistic Regression/11. Logistic Regression in R - Step 3.vtt 6.65KB
  37. 12. Logistic Regression/12. Logistic Regression in R - Step 4.mp4 6.91MB
  38. 12. Logistic Regression/12. Logistic Regression in R - Step 4.vtt 3.55KB
  39. 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 51.68MB
  40. 12. Logistic Regression/13. Logistic Regression in R - Step 5.vtt 26.00KB
  41. 12. Logistic Regression/14. R Classification Template.mp4 12.47MB
  42. 12. Logistic Regression/14. R Classification Template.vtt 6.06KB
  43. 12. Logistic Regression/15. Logistic Regression.html 118B
  44. 12. Logistic Regression/2. How to get the dataset.mp4 11.71MB
  45. 12. Logistic Regression/2. How to get the dataset.vtt 4.23KB
  46. 12. Logistic Regression/3. Logistic Regression in Python - Step 1.mp4 12.93MB
  47. 12. Logistic Regression/3. Logistic Regression in Python - Step 1.vtt 2.26MB
  48. 12. Logistic Regression/4. Logistic Regression in Python - Step 2.mp4 8.24MB
  49. 12. Logistic Regression/4. Logistic Regression in Python - Step 2.vtt 4.42KB
  50. 12. Logistic Regression/5. Logistic Regression in Python - Step 3.mp4 5.98MB
  51. 12. Logistic Regression/5. Logistic Regression in Python - Step 3.vtt 3.66KB
  52. 12. Logistic Regression/6. Logistic Regression in Python - Step 4.mp4 10.38MB
  53. 12. Logistic Regression/6. Logistic Regression in Python - Step 4.vtt 6.37KB
  54. 12. Logistic Regression/7. Logistic Regression in Python - Step 5.mp4 42.55MB
  55. 12. Logistic Regression/7. Logistic Regression in Python - Step 5.vtt 26.48KB
  56. 12. Logistic Regression/8. Python Classification Template.mp4 12.06MB
  57. 12. Logistic Regression/8. Python Classification Template.vtt 5.48KB
  58. 12. Logistic Regression/9. Logistic Regression in R - Step 1.mp4 12.59MB
  59. 12. Logistic Regression/9. Logistic Regression in R - Step 1.vtt 7.92KB
  60. 13. K-Nearest Neighbors (K-NN)/1. K-Nearest Neighbor Intuition.mp4 9.28MB
  61. 13. K-Nearest Neighbors (K-NN)/1. K-Nearest Neighbor Intuition.vtt 7.23KB
  62. 13. K-Nearest Neighbors (K-NN)/2. How to get the dataset.mp4 11.71MB
  63. 13. K-Nearest Neighbors (K-NN)/2. How to get the dataset.vtt 4.23KB
  64. 13. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4 35.21MB
  65. 13. K-Nearest Neighbors (K-NN)/3. K-NN in Python.vtt 18.76KB
  66. 13. K-Nearest Neighbors (K-NN)/4. K-NN in R.mp4 41.37MB
  67. 13. K-Nearest Neighbors (K-NN)/4. K-NN in R.vtt 20.68KB
  68. 13. K-Nearest Neighbors (K-NN)/5. K-Nearest Neighbor.html 118B
  69. 14. Support Vector Machine (SVM)/1. SVM Intuition.mp4 18.01MB
  70. 14. Support Vector Machine (SVM)/1. SVM Intuition.vtt 14.19KB
  71. 14. Support Vector Machine (SVM)/2. How to get the dataset.mp4 11.72MB
  72. 14. Support Vector Machine (SVM)/2. How to get the dataset.vtt 4.23KB
  73. 14. Support Vector Machine (SVM)/3. SVM in Python.mp4 31.16MB
  74. 14. Support Vector Machine (SVM)/3. SVM in Python.vtt 16.91KB
  75. 14. Support Vector Machine (SVM)/4. SVM in R.mp4 32.26MB
  76. 14. Support Vector Machine (SVM)/4. SVM in R.vtt 16.36KB
  77. 14. Support Vector Machine (SVM)/4.1 SVM.zip.zip 8.27KB
  78. 15. Kernel SVM/1. Kernel SVM Intuition.mp4 5.79MB
  79. 15. Kernel SVM/1. Kernel SVM Intuition.vtt 3.92KB
  80. 15. Kernel SVM/2. Mapping to a higher dimension.mp4 13.74MB
  81. 15. Kernel SVM/2. Mapping to a higher dimension.vtt 9.32KB
  82. 15. Kernel SVM/3. The Kernel Trick.mp4 29.28MB
  83. 15. Kernel SVM/3. The Kernel Trick.vtt 14.43KB
  84. 15. Kernel SVM/4. Types of Kernel Functions.mp4 12.31MB
  85. 15. Kernel SVM/4. Types of Kernel Functions.vtt 4.37KB
  86. 15. Kernel SVM/5. How to get the dataset.mp4 11.71MB
  87. 15. Kernel SVM/5. How to get the dataset.vtt 4.23KB
  88. 15. Kernel SVM/6. Kernel SVM in Python.mp4 41.62MB
  89. 15. Kernel SVM/6. Kernel SVM in Python.vtt 24.98KB
  90. 15. Kernel SVM/7. Kernel SVM in R.mp4 40.45MB
  91. 15. Kernel SVM/7. Kernel SVM in R.vtt 22.66KB
  92. 16. Naive Bayes/1. Bayes Theorem.mp4 43.90MB
  93. 16. Naive Bayes/1. Bayes Theorem.vtt 30.66KB
  94. 16. Naive Bayes/2. Naive Bayes Intuition.mp4 27.79MB
  95. 16. Naive Bayes/2. Naive Bayes Intuition.vtt 20.89KB
  96. 16. Naive Bayes/3. Naive Bayes Intuition (Challenge Reveal).mp4 13.28MB
  97. 16. Naive Bayes/3. Naive Bayes Intuition (Challenge Reveal).vtt 8.57KB
  98. 16. Naive Bayes/4. Naive Bayes Intuition (Extras).mp4 18.94MB
  99. 16. Naive Bayes/4. Naive Bayes Intuition (Extras).vtt 14.29KB
  100. 16. Naive Bayes/5. How to get the dataset.mp4 11.71MB
  101. 16. Naive Bayes/5. How to get the dataset.vtt 4.23KB
  102. 16. Naive Bayes/6. Naive Bayes in Python.mp4 23.38MB
  103. 16. Naive Bayes/6. Naive Bayes in Python.vtt 12.22KB
  104. 16. Naive Bayes/7. Naive Bayes in R.mp4 37.31MB
  105. 16. Naive Bayes/7. Naive Bayes in R.vtt 19.45KB
  106. 17. Decision Tree Classification/1. Decision Tree Classification Intuition.mp4 18.79MB
  107. 17. Decision Tree Classification/1. Decision Tree Classification Intuition.vtt 18.80MB
  108. 17. Decision Tree Classification/2. How to get the dataset.mp4 11.71MB
  109. 17. Decision Tree Classification/2. How to get the dataset.vtt 4.23KB
  110. 17. Decision Tree Classification/3. Decision Tree Classification in Python.mp4 29.80MB
  111. 17. Decision Tree Classification/3. Decision Tree Classification in Python.vtt 17.21KB
  112. 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 51.18MB
  113. 17. Decision Tree Classification/4. Decision Tree Classification in R.vtt 25.86KB
  114. 18. Random Forest Classification/1. Random Forest Classification Intuition.mp4 19.43MB
  115. 18. Random Forest Classification/1. Random Forest Classification Intuition.vtt 6.41KB
  116. 18. Random Forest Classification/2. How to get the dataset.mp4 11.71MB
  117. 18. Random Forest Classification/2. How to get the dataset.vtt 4.23KB
  118. 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 47.15MB
  119. 18. Random Forest Classification/3. Random Forest Classification in Python.vtt 27.43KB
  120. 18. Random Forest Classification/4. Random Forest Classification in R.mp4 49.39MB
  121. 18. Random Forest Classification/4. Random Forest Classification in R.vtt 28.85KB
  122. 19. Evaluating Classification Models Performance/1. False Positives & False Negatives.mp4 13.65MB
  123. 19. Evaluating Classification Models Performance/1. False Positives & False Negatives.vtt 10.19KB
  124. 19. Evaluating Classification Models Performance/2. Confusion Matrix.mp4 8.22MB
  125. 19. Evaluating Classification Models Performance/2. Confusion Matrix.vtt 6.74KB
  126. 19. Evaluating Classification Models Performance/3. Accuracy Paradox.mp4 3.80MB
  127. 19. Evaluating Classification Models Performance/3. Accuracy Paradox.vtt 2.94KB
  128. 19. Evaluating Classification Models Performance/4. CAP Curve.mp4 18.68MB
  129. 19. Evaluating Classification Models Performance/4. CAP Curve.vtt 14.55KB
  130. 19. Evaluating Classification Models Performance/5. CAP Curve Analysis.mp4 11.52MB
  131. 19. Evaluating Classification Models Performance/5. CAP Curve Analysis.vtt 8.35KB
  132. 19. Evaluating Classification Models Performance/6. Conclusion of Part 3 - Classification.html 3.75KB
  133. 2. -------------------- Part 1 Data Preprocessing --------------------/1. Welcome to Part 1 - Data Preprocessing.mp4 2.99MB
  134. 2. -------------------- Part 1 Data Preprocessing --------------------/1. Welcome to Part 1 - Data Preprocessing.vtt 2.29KB
  135. 2. -------------------- Part 1 Data Preprocessing --------------------/10. Feature Scaling.mp4 34.62MB
  136. 2. -------------------- Part 1 Data Preprocessing --------------------/10. Feature Scaling.vtt 20.79KB
  137. 2. -------------------- Part 1 Data Preprocessing --------------------/11. And here is our Data Preprocessing Template!.mp4 19.67MB
  138. 2. -------------------- Part 1 Data Preprocessing --------------------/11. And here is our Data Preprocessing Template!.vtt 12.67KB
  139. 2. -------------------- Part 1 Data Preprocessing --------------------/12. Data Preprocessing.html 118B
  140. 2. -------------------- Part 1 Data Preprocessing --------------------/2. Get the dataset.mp4 21.15MB
  141. 2. -------------------- Part 1 Data Preprocessing --------------------/2. Get the dataset.vtt 9.39KB
  142. 2. -------------------- Part 1 Data Preprocessing --------------------/3. Importing the Libraries.mp4 11.08MB
  143. 2. -------------------- Part 1 Data Preprocessing --------------------/3. Importing the Libraries.vtt 6.98KB
  144. 2. -------------------- Part 1 Data Preprocessing --------------------/4. Importing the Dataset.mp4 23.31MB
  145. 2. -------------------- Part 1 Data Preprocessing --------------------/4. Importing the Dataset.vtt 16.59KB
  146. 2. -------------------- Part 1 Data Preprocessing --------------------/6. Missing Data.mp4 32.16MB
  147. 2. -------------------- Part 1 Data Preprocessing --------------------/6. Missing Data.vtt 19.43KB
  148. 2. -------------------- Part 1 Data Preprocessing --------------------/7. Categorical Data.mp4 40.79MB
  149. 2. -------------------- Part 1 Data Preprocessing --------------------/7. Categorical Data.vtt 23.86KB
  150. 2. -------------------- Part 1 Data Preprocessing --------------------/8. WARNING - Update.html 2.86KB
  151. 2. -------------------- Part 1 Data Preprocessing --------------------/9. Splitting the Dataset into the Training set and Test set.mp4 39.03MB
  152. 2. -------------------- Part 1 Data Preprocessing --------------------/9. Splitting the Dataset into the Training set and Test set.vtt 23.91KB
  153. 20. -------------------- Part 4 Clustering --------------------/1. Welcome to Part 4 - Clustering.html 734B
  154. 21. K-Means Clustering/1. K-Means Clustering Intuition.mp4 26.86MB
  155. 21. K-Means Clustering/1. K-Means Clustering Intuition.vtt 20.91KB
  156. 21. K-Means Clustering/2. K-Means Random Initialization Trap.mp4 15.36MB
  157. 21. K-Means Clustering/2. K-Means Random Initialization Trap.vtt 11.61KB
  158. 21. K-Means Clustering/3. K-Means Selecting The Number Of Clusters.mp4 23.13MB
  159. 21. K-Means Clustering/3. K-Means Selecting The Number Of Clusters.vtt 16.55KB
  160. 21. K-Means Clustering/4. How to get the dataset.mp4 11.71MB
  161. 21. K-Means Clustering/4. How to get the dataset.vtt 4.23KB
  162. 21. K-Means Clustering/5. K-Means Clustering in Python.mp4 39.77MB
  163. 21. K-Means Clustering/5. K-Means Clustering in Python.vtt 25.22KB
  164. 21. K-Means Clustering/6. K-Means Clustering in R.mp4 28.99MB
  165. 21. K-Means Clustering/6. K-Means Clustering in R.vtt 17.34KB
  166. 21. K-Means Clustering/7. K-Means Clustering.html 118B
  167. 22. Hierarchical Clustering/1. Hierarchical Clustering Intuition.mp4 16.53MB
  168. 22. Hierarchical Clustering/1. Hierarchical Clustering Intuition.vtt 16.53MB
  169. 22. Hierarchical Clustering/10. HC in R - Step 1.mp4 7.38MB
  170. 22. Hierarchical Clustering/10. HC in R - Step 1.vtt 5.67KB
  171. 22. Hierarchical Clustering/11. HC in R - Step 2.mp4 11.15MB
  172. 22. Hierarchical Clustering/11. HC in R - Step 2.vtt 7.32KB
  173. 22. Hierarchical Clustering/12. HC in R - Step 3.mp4 7.81MB
  174. 22. Hierarchical Clustering/12. HC in R - Step 3.vtt 4.29KB
  175. 22. Hierarchical Clustering/13. HC in R - Step 4.mp4 7.44MB
  176. 22. Hierarchical Clustering/13. HC in R - Step 4.vtt 3.49KB
  177. 22. Hierarchical Clustering/14. HC in R - Step 5.mp4 6.89MB
  178. 22. Hierarchical Clustering/14. HC in R - Step 5.vtt 3.66KB
  179. 22. Hierarchical Clustering/15. Hierarchical Clustering.html 118B
  180. 22. Hierarchical Clustering/16. Conclusion of Part 4 - Clustering.html 516B
  181. 22. Hierarchical Clustering/16.1 Clustering-Pros-Cons.pdf.pdf 25.76KB
  182. 22. Hierarchical Clustering/2. Hierarchical Clustering How Dendrograms Work.mp4 17.47MB
  183. 22. Hierarchical Clustering/2. Hierarchical Clustering How Dendrograms Work.vtt 12.84KB
  184. 22. Hierarchical Clustering/3. Hierarchical Clustering Using Dendrograms.mp4 22.81MB
  185. 22. Hierarchical Clustering/3. Hierarchical Clustering Using Dendrograms.vtt 15.86KB
  186. 22. Hierarchical Clustering/4. How to get the dataset.mp4 11.72MB
  187. 22. Hierarchical Clustering/4. How to get the dataset.vtt 4.23KB
  188. 22. Hierarchical Clustering/5. HC in Python - Step 1.mp4 10.72MB
  189. 22. Hierarchical Clustering/5. HC in Python - Step 1.vtt 6.79KB
  190. 22. Hierarchical Clustering/6. HC in Python - Step 2.mp4 12.64MB
  191. 22. Hierarchical Clustering/6. HC in Python - Step 2.vtt 8.57KB
  192. 22. Hierarchical Clustering/7. HC in Python - Step 3.mp4 12.30MB
  193. 22. Hierarchical Clustering/7. HC in Python - Step 3.vtt 6.95KB
  194. 22. Hierarchical Clustering/8. HC in Python - Step 4.mp4 12.02MB
  195. 22. Hierarchical Clustering/8. HC in Python - Step 4.vtt 5.85KB
  196. 22. Hierarchical Clustering/9. HC in Python - Step 5.mp4 8.39MB
  197. 22. Hierarchical Clustering/9. HC in Python - Step 5.vtt 6.14KB
  198. 23. -------------------- Part 5 Association Rule Learning --------------------/1. Welcome to Part 5 - Association Rule Learning.html 425B
  199. 24. Apriori/1. Apriori Intuition.mp4 35.02MB
  200. 24. Apriori/1. Apriori Intuition.vtt 22.59KB
  201. 24. Apriori/2. How to get the dataset.mp4 11.72MB
  202. 24. Apriori/2. How to get the dataset.vtt 4.23KB
  203. 24. Apriori/3. Apriori in R - Step 1.mp4 42.87MB
  204. 24. Apriori/3. Apriori in R - Step 1.vtt 42.89MB
  205. 24. Apriori/4. Apriori in R - Step 2.mp4 30.50MB
  206. 24. Apriori/4. Apriori in R - Step 2.vtt 20.59KB
  207. 24. Apriori/5. Apriori in R - Step 3.mp4 43.84MB
  208. 24. Apriori/5. Apriori in R - Step 3.vtt 27.72KB
  209. 24. Apriori/6. Apriori in Python - Step 1.mp4 37.97MB
  210. 24. Apriori/6. Apriori in Python - Step 1.vtt 24.86KB
  211. 24. Apriori/7. Apriori in Python - Step 2.mp4 29.52MB
  212. 24. Apriori/7. Apriori in Python - Step 2.vtt 20.11KB
  213. 24. Apriori/8. Apriori in Python - Step 3.mp4 26.96MB
  214. 24. Apriori/8. Apriori in Python - Step 3.vtt 26.98MB
  215. 25. Eclat/1. Eclat Intuition.mp4 10.65MB
  216. 25. Eclat/1. Eclat Intuition.vtt 7.12KB
  217. 25. Eclat/2. How to get the dataset.mp4 11.72MB
  218. 25. Eclat/2. How to get the dataset.vtt 4.23KB
  219. 25. Eclat/3. Eclat in R.mp4 20.68MB
  220. 25. Eclat/3. Eclat in R.vtt 14.11KB
  221. 25. Eclat/3.1 Eclat.zip.zip 48.54KB
  222. 26. -------------------- Part 6 Reinforcement Learning --------------------/1. Welcome to Part 6 - Reinforcement Learning.html 804B
  223. 27. Upper Confidence Bound (UCB)/1. The Multi-Armed Bandit Problem.mp4 30.19MB
  224. 27. Upper Confidence Bound (UCB)/1. The Multi-Armed Bandit Problem.vtt 19.44KB
  225. 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 47.20MB
  226. 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.vtt 21.98KB
  227. 27. Upper Confidence Bound (UCB)/11. Upper Confidence Bound in R - Step 4.mp4 7.41MB
  228. 27. Upper Confidence Bound (UCB)/11. Upper Confidence Bound in R - Step 4.vtt 3.86KB
  229. 27. Upper Confidence Bound (UCB)/2. Upper Confidence Bound (UCB) Intuition.mp4 29.33MB
  230. 27. Upper Confidence Bound (UCB)/2. Upper Confidence Bound (UCB) Intuition.vtt 29.33MB
  231. 27. Upper Confidence Bound (UCB)/3. How to get the dataset.mp4 11.71MB
  232. 27. Upper Confidence Bound (UCB)/3. How to get the dataset.vtt 4.23KB
  233. 27. Upper Confidence Bound (UCB)/4. Upper Confidence Bound in Python - Step 1.mp4 31.53MB
  234. 27. Upper Confidence Bound (UCB)/4. Upper Confidence Bound in Python - Step 1.vtt 19.05KB
  235. 27. Upper Confidence Bound (UCB)/5. Upper Confidence Bound in Python - Step 2.mp4 35.44MB
  236. 27. Upper Confidence Bound (UCB)/5. Upper Confidence Bound in Python - Step 2.vtt 21.82KB
  237. 27. Upper Confidence Bound (UCB)/6. Upper Confidence Bound in Python - Step 3.mp4 41.11MB
  238. 27. Upper Confidence Bound (UCB)/6. Upper Confidence Bound in Python - Step 3.vtt 23.38KB
  239. 27. Upper Confidence Bound (UCB)/7. Upper Confidence Bound in Python - Step 4.mp4 9.13MB
  240. 27. Upper Confidence Bound (UCB)/7. Upper Confidence Bound in Python - Step 4.vtt 4.38KB
  241. 27. Upper Confidence Bound (UCB)/8. Upper Confidence Bound in R - Step 1.mp4 28.05MB
  242. 27. Upper Confidence Bound (UCB)/8. Upper Confidence Bound in R - Step 1.vtt 17.91KB
  243. 27. Upper Confidence Bound (UCB)/9. Upper Confidence Bound in R - Step 2.mp4 29.02MB
  244. 27. Upper Confidence Bound (UCB)/9. Upper Confidence Bound in R - Step 2.vtt 19.20KB
  245. 28. Thompson Sampling/1. Thompson Sampling Intuition.mp4 37.27MB
  246. 28. Thompson Sampling/1. Thompson Sampling Intuition.vtt 24.09KB
  247. 28. Thompson Sampling/2. Algorithm Comparison UCB vs Thompson Sampling.mp4 14.09MB
  248. 28. Thompson Sampling/2. Algorithm Comparison UCB vs Thompson Sampling.vtt 9.89KB
  249. 28. Thompson Sampling/3. How to get the dataset.mp4 11.72MB
  250. 28. Thompson Sampling/3. How to get the dataset.vtt 4.23KB
  251. 28. Thompson Sampling/4. Thompson Sampling in Python - Step 1.mp4 43.13MB
  252. 28. Thompson Sampling/4. Thompson Sampling in Python - Step 1.vtt 25.19KB
  253. 28. Thompson Sampling/5. Thompson Sampling in Python - Step 2.mp4 8.42MB
  254. 28. Thompson Sampling/5. Thompson Sampling in Python - Step 2.vtt 5.20KB
  255. 28. Thompson Sampling/6. Thompson Sampling in R - Step 1.mp4 40.93MB
  256. 28. Thompson Sampling/6. Thompson Sampling in R - Step 1.vtt 24.31KB
  257. 28. Thompson Sampling/7. Thompson Sampling in R - Step 2.mp4 7.47MB
  258. 28. Thompson Sampling/7. Thompson Sampling in R - Step 2.vtt 4.76KB
  259. 29. -------------------- Part 7 Natural Language Processing --------------------/1. Welcome to Part 7 - Natural Language Processing.html 1.69KB
  260. 29. -------------------- Part 7 Natural Language Processing --------------------/10. Natural Language Processing in Python - Step 7.mp4 17.10MB
  261. 29. -------------------- Part 7 Natural Language Processing --------------------/10. Natural Language Processing in Python - Step 7.vtt 8.60KB
  262. 29. -------------------- Part 7 Natural Language Processing --------------------/11. Natural Language Processing in Python - Step 8.mp4 39.48MB
  263. 29. -------------------- Part 7 Natural Language Processing --------------------/11. Natural Language Processing in Python - Step 8.vtt 20.80KB
  264. 29. -------------------- Part 7 Natural Language Processing --------------------/12. Natural Language Processing in Python - Step 9.mp4 14.01MB
  265. 29. -------------------- Part 7 Natural Language Processing --------------------/12. Natural Language Processing in Python - Step 9.vtt 7.25KB
  266. 29. -------------------- Part 7 Natural Language Processing --------------------/13. Natural Language Processing in Python - Step 10.mp4 24.13MB
  267. 29. -------------------- Part 7 Natural Language Processing --------------------/13. Natural Language Processing in Python - Step 10.vtt 12.49KB
  268. 29. -------------------- Part 7 Natural Language Processing --------------------/14. Homework Challenge.html 1.37KB
  269. 29. -------------------- Part 7 Natural Language Processing --------------------/15. Natural Language Processing in R - Step 1.mp4 40.38MB
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  279. 29. -------------------- Part 7 Natural Language Processing --------------------/2. Natural Language Processing Intuition.mp4 29.69MB
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  291. 29. -------------------- Part 7 Natural Language Processing --------------------/25. Homework Challenge.html 1.40KB
  292. 29. -------------------- Part 7 Natural Language Processing --------------------/3. How to get the dataset.mp4 11.71MB
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  294. 29. -------------------- Part 7 Natural Language Processing --------------------/4. Natural Language Processing in Python - Step 1.mp4 35.20MB
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  306. 3. -------------------- Part 2 Regression --------------------/1. Welcome to Part 2 - Regression.html 875B
  307. 30. -------------------- Part 8 Deep Learning --------------------/1. Welcome to Part 8 - Deep Learning.html 870B
  308. 30. -------------------- Part 8 Deep Learning --------------------/2. What is Deep Learning.mp4 31.31MB
  309. 30. -------------------- Part 8 Deep Learning --------------------/2. What is Deep Learning.vtt 15.89KB
  310. 31. Artificial Neural Networks/1. Plan of attack.mp4 4.74MB
  311. 31. Artificial Neural Networks/1. Plan of attack.vtt 3.54KB
  312. 31. Artificial Neural Networks/10. Business Problem Description.mp4 16.38MB
  313. 31. Artificial Neural Networks/10. Business Problem Description.vtt 6.47KB
  314. 31. Artificial Neural Networks/11. Installing Keras.html 1.42KB
  315. 31. Artificial Neural Networks/12. ANN in Python - Step 1.mp4 29.31MB
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  317. 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 48.09MB
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  331. 31. Artificial Neural Networks/2. The Neuron.mp4 29.87MB
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  359. 32. Convolutional Neural Networks/1. Plan of attack.mp4 5.90MB
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  363. 32. Convolutional Neural Networks/11. Installing Keras.html 927B
  364. 32. Convolutional Neural Networks/12. CNN in Python - Step 1.mp4 24.93MB
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  401. 33. -------------------- Part 9 Dimensionality Reduction --------------------/1. Welcome to Part 9 - Dimensionality Reduction.html 1.26KB
  402. 34. Principal Component Analysis (PCA)/1. Principal Component Analysis (PCA) Intuition.mp4 32.11MB
  403. 34. Principal Component Analysis (PCA)/1. Principal Component Analysis (PCA) Intuition.vtt 4.45KB
  404. 34. Principal Component Analysis (PCA)/2. How to get the dataset.mp4 11.71MB
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  412. 34. Principal Component Analysis (PCA)/6. PCA in R - Step 1.mp4 30.65MB
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  418. 35. Linear Discriminant Analysis (LDA)/1. Linear Discriminant Analysis (LDA) Intuition.mp4 26.98MB
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  422. 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 45.42MB
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  426. 36. Kernel PCA/1. How to get the dataset.mp4 11.71MB
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  432. 37. -------------------- Part 10 Model Selection & Boosting --------------------/1. Welcome to Part 10 - Model Selection & Boosting.html 899B
  433. 38. Model Selection/1. How to get the dataset.mp4 11.72MB
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  435. 38. Model Selection/2. k-Fold Cross Validation in Python.mp4 32.83MB
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  437. 38. Model Selection/3. k-Fold Cross Validation in R.mp4 43.63MB
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  445. 39. XGBoost/1. How to get the dataset.mp4 11.71MB
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  480. 40. Bonus Lectures/1. YOUR SPECIAL BONUS.html 4.54KB
  481. 5. Multiple Linear Regression/1. How to get the dataset.mp4 11.71MB
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  516. 5. Multiple Linear Regression/7. Prerequisites What is the P-Value.html 676B
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  545. 7. Support Vector Regression (SVR)/1. How to get the dataset.mp4 11.71MB
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  547. 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 46.59MB
  548. 7. Support Vector Regression (SVR)/2. SVR Intuition.vtt 10.11KB
  549. 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 46.18MB
  550. 7. Support Vector Regression (SVR)/3. SVR in Python.vtt 27.45KB
  551. 7. Support Vector Regression (SVR)/4. SVR in R.mp4 25.87MB
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  553. 8. Decision Tree Regression/1. Decision Tree Regression Intuition.mp4 22.69MB
  554. 8. Decision Tree Regression/1. Decision Tree Regression Intuition.vtt 15.25KB
  555. 8. Decision Tree Regression/2. How to get the dataset.mp4 11.71MB
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  557. 8. Decision Tree Regression/3. Decision Tree Regression in Python.mp4 33.54MB
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  559. 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 44.37MB
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  561. 9. Random Forest Regression/1. Random Forest Regression Intuition.mp4 13.82MB
  562. 9. Random Forest Regression/1. Random Forest Regression Intuition.vtt 9.29KB
  563. 9. Random Forest Regression/2. How to get the dataset.mp4 11.72MB
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  565. 9. Random Forest Regression/3. Random Forest Regression in Python.mp4 39.47MB
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  567. 9. Random Forest Regression/4. Random Forest Regression in R.mp4 40.34MB
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  569. [Tutorialsplanet.NET].url 128B