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[] Udemy - Data Science Masterclass With R! 4 Projects+8 Case Studies

  • 收录时间:2019-07-05 07:12:43
  • 文件大小:17GB
  • 下载次数:46
  • 最近下载:2021-01-07 19:15:26
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文件列表

  1. 16. SUPERVISED LEARNING REGRESSION/5. Linear Regression 5.mp4 247MB
  2. 18. Logistic Regression/7. Telecom Churn Case Study.mp4 247MB
  3. 30. Capstone Project - Big Mart Sell/5. Big Mart Sale - Pre-Processing.mp4 235MB
  4. 16. SUPERVISED LEARNING REGRESSION/3. Linear Regression 3.mp4 233MB
  5. 3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.vtt 219MB
  6. 3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.mp4 219MB
  7. 24. Capstone Project - Titanic Survival/9. Capstone Project - Decision Tree.mp4 206MB
  8. 29. Association Rule Mining/4. Association Rule Mining - Case Study.mp4 204MB
  9. 30. Capstone Project - Big Mart Sell/6. Big Mart Sale - Model Building & Evaluation.mp4 201MB
  10. 31. Model Deployment/3. Model Deployment - Steps To Follow.mp4 199MB
  11. 24. Capstone Project - Titanic Survival/7. Capstone Project - Logistics Regression.mp4 194MB
  12. 8. Data Manipulation/4. Data Manipulation - mutate.mp4 186MB
  13. 8. Data Manipulation/5. Data Manipulation - filter.mp4 186MB
  14. 28. Principal Component Analysis (PCA)/2. PCA - R Code Implementation.mp4 182MB
  15. 16. SUPERVISED LEARNING REGRESSION/4. Linear Regression 4.mp4 179MB
  16. 19. K-NN/4. K-NN Case Study.mp4 178MB
  17. 25. K-Mean Clustering/3. K-Mean Clustering R Code Implementation.mp4 174MB
  18. 28. Principal Component Analysis (PCA)/3. PCA - Case Study.mp4 172MB
  19. 10. Introduction To Statistics/12. Intro To Stat - Part 7.mp4 169MB
  20. 26. Hierarchical Clustering/2. Hierarchical Clustering R Code Implementation.mp4 168MB
  21. 22. Decision Tree/4. Decision Tree Pruning.mp4 166MB
  22. 16. SUPERVISED LEARNING REGRESSION/10. Linear Regression 9 - Stepwise Regression.mp4 164MB
  23. 12. Hypothesis Testing in Practice/16. ANOVA - Part 2.mp4 163MB
  24. 12. Hypothesis Testing in Practice/4. Hypothesys Testing in Practice - Part 3.mp4 161MB
  25. 29. Association Rule Mining/1. Association Rule Mining -Introduction.mp4 159MB
  26. 12. Hypothesis Testing in Practice/1. Hypothesys Testing in Practice - Part 1.mp4 157MB
  27. 9. Data Visualization/30. Data Visualization - ggplot2 Part 3.mp4 156MB
  28. 15. Data Pre-Processing/8. Data Pre-Processing 5.mp4 156MB
  29. 6. R Data Structure/4. Matrix, Array and Data Frame.mp4 150MB
  30. 10. Introduction To Statistics/18. Intro To Stat - Part 10.mp4 149MB
  31. 7. Import and Export in R/7. Import Excel, Web Data in R.mp4 149MB
  32. 25. K-Mean Clustering/2. K-Mean Clustering Intuition.mp4 148MB
  33. 12. Hypothesis Testing in Practice/9. Hypothesys Testing in Practice - Part 6.mp4 148MB
  34. 15. Data Pre-Processing/11. Data Pre-Processing 7.mp4 146MB
  35. 16. SUPERVISED LEARNING REGRESSION/8. Linear Regression 7 - Correlation Part 2.mp4 145MB
  36. 30. Capstone Project - Big Mart Sell/4. Big Mart Sale - Fetature Engineering.mp4 145MB
  37. 4. INTRODUCTION TO R/1. Introduction to R.mp4 144MB
  38. 21. Naive Bayes/1. Naive Bayes - Intuition.mp4 144MB
  39. 19. K-NN/2. K-NN R Code Implementation.mp4 144MB
  40. 6. R Data Structure/8. A Deep Drive to R Data Frame.mp4 141MB
  41. 9. Data Visualization/5. Data Visualization - pch.mp4 140MB
  42. 15. Data Pre-Processing/1. Data Pre-Processing 1.mp4 137MB
  43. 22. Decision Tree/3. Decision Tree - R Code Implementation.mp4 135MB
  44. 16. SUPERVISED LEARNING REGRESSION/6. Linear Regression 6.mp4 135MB
  45. 12. Hypothesis Testing in Practice/12. Chi Square -Part 2.mp4 134MB
  46. 8. Data Manipulation/8. Data Manipulation - Pipe Operator.mp4 133MB
  47. 5. R Programming/1. R Programming - R Operator.mp4 132MB
  48. 10. Introduction To Statistics/5. Intro To Stat - Part 3.mp4 132MB
  49. 10. Introduction To Statistics/9. Intro To Stat - Part 5.mp4 131MB
  50. 2. INTRODUCTION TO DATA SCIENCE/7. How to switch your career into ML.mp4 130MB
  51. 22. Decision Tree/5. Decision Tree Case Study.mp4 130MB
  52. 2. INTRODUCTION TO DATA SCIENCE/3. Introduction to Machine Learning.mp4 130MB
  53. 5. R Programming/4. R Programming - R Function.mp4 128MB
  54. 8. Data Manipulation/3. Data Manipulation - select.mp4 128MB
  55. 31. Model Deployment/4. Model Deployment - Azure ML DEMO.mp4 128MB
  56. 9. Data Visualization/27. Data Visualization - ggplot2 Part 1.mp4 127MB
  57. 15. Data Pre-Processing/3. Data Pre-Processing 2.mp4 126MB
  58. 12. Hypothesis Testing in Practice/6. Hypothesys Testing in Practice - Part 4.mp4 125MB
  59. 16. SUPERVISED LEARNING REGRESSION/7. Linear Regression 7 - Correlation Part 1.mp4 125MB
  60. 4. INTRODUCTION TO R/3. Setting up R.mp4 124MB
  61. 10. Introduction To Statistics/14. Intro To Stat - Part 8.mp4 121MB
  62. 9. Data Visualization/1. Introduction to Data Visualization & Scatter Plot.mp4 121MB
  63. 18. Logistic Regression/3. R Code Implementation -Part2.mp4 120MB
  64. 2. INTRODUCTION TO DATA SCIENCE/1. Introduction to Business Analytics.mp4 120MB
  65. 9. Data Visualization/23. Data Visualization - 3D Plot.mp4 119MB
  66. 12. Hypothesis Testing in Practice/3. Hypothesys Testing in Practice - Part 2.mp4 117MB
  67. 11. HYPOTHESIS Testing -1/5. Hypothesys Testing - Part 3.vtt 115MB
  68. 11. HYPOTHESIS Testing -1/5. Hypothesys Testing - Part 3.mp4 115MB
  69. 18. Logistic Regression/5. Model Evaluation.mp4 115MB
  70. 8. Data Manipulation/1. Data Manipulation - Apply Function.mp4 115MB
  71. 10. Introduction To Statistics/1. Intro To Stat - Part 1.mp4 114MB
  72. 12. Hypothesis Testing in Practice/14. ANOVA - Part 1.mp4 114MB
  73. 10. Introduction To Statistics/16. Intro To Stat - Part 9.mp4 114MB
  74. 25. K-Mean Clustering/4. K-Mean Clustering Case Study.mp4 113MB
  75. 16. SUPERVISED LEARNING REGRESSION/11. Linear Regression 10 - Dummy Variable.mp4 113MB
  76. 11. HYPOTHESIS Testing -1/3. Hypothesys Testing - Part 2.mp4 112MB
  77. 16. SUPERVISED LEARNING REGRESSION/2. Linear Regression 2.mp4 112MB
  78. 30. Capstone Project - Big Mart Sell/1. Big Mart Sale - Data Structure.mp4 112MB
  79. 29. Association Rule Mining/2. Association Rule Mining -R Code Implementation.mp4 112MB
  80. 5. R Programming/6. R Programming - R Function #2.mp4 111MB
  81. 22. Decision Tree/1. Decision Tree Intuition.mp4 111MB
  82. 15. Data Pre-Processing/5. Data Pre-Processing 3.mp4 109MB
  83. 8. Data Manipulation/12. Data Manipulation - Date.mp4 109MB
  84. 8. Data Manipulation/6. Data Manipulation - arrange.mp4 108MB
  85. 9. Data Visualization/25. Correlation Plot and Word Cloud.mp4 106MB
  86. 6. R Data Structure/1. R Data Structure - Vector.mp4 105MB
  87. 30. Capstone Project - Big Mart Sell/2. Big Mart Sale - Univariate Analysis.mp4 105MB
  88. 18. Logistic Regression/1. Logistics Regression Intuition.mp4 103MB
  89. 12. Hypothesis Testing in Practice/10. Chi Square -Part 1.mp4 103MB
  90. 16. SUPERVISED LEARNING REGRESSION/9. Linear Regression 8 - Stepwise Regression.mp4 102MB
  91. 24. Capstone Project - Titanic Survival/1. Capstone Project -Introduction.mp4 101MB
  92. 12. Hypothesis Testing in Practice/7. Hypothesys Testing in Practice - Part 5.mp4 101MB
  93. 20. SVM/2. SVM - R Code Implementation.mp4 101MB
  94. 27. DBScan Clustering/1. DBScan Clustering -Intuition and R Code.mp4 100MB
  95. 17. Classification Overview/1. Classification Overview.mp4 100MB
  96. 31. Model Deployment/2. Model Deployment - Pre Requisite.mp4 99MB
  97. 21. Naive Bayes/2. Naive Bayes - R Code Implementation.mp4 99MB
  98. 8. Data Manipulation/10. Data Manipulation - group by.mp4 98MB
  99. 15. Data Pre-Processing/7. Data Pre-Processing 4.mp4 98MB
  100. 23. Random Forest/3. Random Forest - Case Study.mp4 97MB
  101. 19. K-NN/1. K-NN Intuition.mp4 95MB
  102. 13. Machine Learning Toolbox/1. Machine Learning Toolbox - Part 1.mp4 94MB
  103. 14. Business Use Case Understaing/1. Business Case Understanding.mp4 93MB
  104. 5. R Programming/2. R Conditional Statement & Loop.mp4 91MB
  105. 20. SVM/4. SVM - Model Tuning.mp4 90MB
  106. 16. SUPERVISED LEARNING REGRESSION/12. Linear Regression 11 - Non Linear.mp4 89MB
  107. 20. SVM/6. SVM - Telecom Case Study.mp4 89MB
  108. 9. Data Visualization/28. Data Visualization - ggplot2 Part 2.mp4 88MB
  109. 7. Import and Export in R/1. Import CSV Data in R.mp4 87MB
  110. 27. DBScan Clustering/2. DBScan Clustering - Case Study.mp4 86MB
  111. 2. INTRODUCTION TO DATA SCIENCE/5. Introduction To Data Scientist.mp4 85MB
  112. 9. Data Visualization/3. Data Visualization - mfrow.mp4 84MB
  113. 30. Capstone Project - Big Mart Sell/3. Big Mart Sale - Bi-Variate Analysis.mp4 83MB
  114. 23. Random Forest/1. Random Forest - Intuition.mp4 82MB
  115. 21. Naive Bayes/3. Naive Bayes - Case Study.mp4 80MB
  116. 28. Principal Component Analysis (PCA)/1. PCA - Intuition.mp4 80MB
  117. 26. Hierarchical Clustering/1. Hierarchical Clustering Intuition.mp4 79MB
  118. 24. Capstone Project - Titanic Survival/6. Capstone Project - Feature Engineering.mp4 79MB
  119. 9. Data Visualization/21. Data Visualization - Mosaic Plot and Heat Map.mp4 78MB
  120. 9. Data Visualization/15. Data Visualization - Histogram.mp4 78MB
  121. 10. Introduction To Statistics/3. Intro To Stat - Part 2.mp4 76MB
  122. 16. SUPERVISED LEARNING REGRESSION/1. Linear Regression 1.mp4 74MB
  123. 13. Machine Learning Toolbox/2. Machine Learning Toolbox - Part 2.mp4 73MB
  124. 11. HYPOTHESIS Testing -1/1. Hypothesys Testing - Part 1.mp4 73MB
  125. 26. Hierarchical Clustering/3. Hierarchical Clustering Case Study.mp4 73MB
  126. 10. Introduction To Statistics/11. Intro To Stat - Part 6.mp4 73MB
  127. 24. Capstone Project - Titanic Survival/4. Capstone Project - Data Preparation.mp4 73MB
  128. 10. Introduction To Statistics/20. Intro To Stat - Part 11.mp4 72MB
  129. 29. Association Rule Mining/3. Association Rule Mining - Pre-Processing.mp4 72MB
  130. 31. Model Deployment/1. Model Deployment - Workflow.mp4 71MB
  131. 9. Data Visualization/11. Data Visualization - Bar Plot.mp4 70MB
  132. 22. Decision Tree/2. Decision Tree -How it works.mp4 69MB
  133. 24. Capstone Project - Titanic Survival/3. Capstone Project - Lazy Predictor.mp4 67MB
  134. 9. Data Visualization/13. Data Visualization - Pie Chart.mp4 66MB
  135. 6. R Data Structure/13. R Data Structure - List.mp4 61MB
  136. 20. SVM/1. SVM - Intuition.mp4 60MB
  137. 24. Capstone Project - Titanic Survival/2. Capstone Project - Data Understanding.mp4 59MB
  138. 20. SVM/8. SVM - Non Separable Case and Pros and Cons.mp4 57MB
  139. 18. Logistic Regression/9. Summary.mp4 56MB
  140. 11. HYPOTHESIS Testing -1/6. Hypothesys Testing - Part 4.mp4 54MB
  141. 23. Random Forest/2. Random Forest -R Code Implementation.mp4 54MB
  142. 6. R Data Structure/10. R Data Structure - Factor.mp4 54MB
  143. 18. Logistic Regression/2. R Code Implementation -Part1.mp4 54MB
  144. 24. Capstone Project - Titanic Survival/5. Capstone Project - Data Exploration.mp4 52MB
  145. 12. Hypothesis Testing in Practice/17. What we discussed in the chapter so far - Summary of the Chapter.mp4 52MB
  146. 9. Data Visualization/19. Data Visualization - Box Plot.mp4 51MB
  147. 5. R Programming/8. R Programming - R Function #3.mp4 49MB
  148. 24. Capstone Project - Titanic Survival/8. Capstone Project - Logistics Regression 2.mp4 47MB
  149. 15. Data Pre-Processing/10. Data Pre-Processing 6.mp4 44MB
  150. 7. Import and Export in R/10. Export Data in R - CSV & Excel.mp4 41MB
  151. 25. K-Mean Clustering/1. Unsupervised Learning Introduction.mp4 41MB
  152. 9. Data Visualization/9. Data Visualization - Line Chart.mp4 35MB
  153. 2. INTRODUCTION TO DATA SCIENCE/9. How to switch your career into ML.mp4 34MB
  154. 7. Import and Export in R/4. Import Text Data in R.mp4 33MB
  155. 10. Introduction To Statistics/7. Intro To Stat - Part 4.mp4 32MB
  156. 24. Capstone Project - Titanic Survival/10. Capstone Project - Random Forest.mp4 27MB
  157. 9. Data Visualization/17. Data Visualization - Density Plot.mp4 25MB
  158. 7. Import and Export in R/9. Export Data in R - Text.mp4 22MB
  159. 1. Meet Your Instructor/1. Meet Your Instructor.mp4 21MB
  160. 9. Data Visualization/7. Data Visualization - Color.mp4 12MB
  161. 9. Data Visualization/32.1 data-visualization-codes-pdf.pdf.pdf 2MB
  162. 9. Data Visualization/33. Par Function Code.html 2MB
  163. 15. Data Pre-Processing/13.1 Lesson 13 - Data Pre-Processing - code 2.pdf.pdf 2MB
  164. 5. R Programming/10.1 R-Programming-Codes.pdf.pdf 1MB
  165. 22. Decision Tree/6.2 Decision Tree - codes.pdf.pdf 1MB
  166. 6. R Data Structure/16.1 R-Data-Structure-CODES.pdf.pdf 826KB
  167. 18. Logistic Regression/10.4 Churn Model data.pdf.pdf 589KB
  168. 18. Logistic Regression/10.5 Lesson 16 - Logistics Regression - social network data.pdf.pdf 485KB
  169. 21. Naive Bayes/4.4 Naive_Bayes codes.pdf.pdf 447KB
  170. 19. K-NN/6.3 KNN Codes.pdf.pdf 441KB
  171. 20. SVM/9.1 Lesson 18 - SVM - casestudy.pdf.pdf 440KB
  172. 18. Logistic Regression/10.3 Lesson 16 - Logistics Regression - mtcars data.pdf.pdf 429KB
  173. 19. K-NN/6.1 KNN - Case Study.pdf.pdf 404KB
  174. 20. SVM/9.2 Lesson 18 - SVM - chunt.pdf.pdf 343KB
  175. 6. R Data Structure/2.1 Data-Structure-Vector-Study-Note.pdf.pdf 323KB
  176. 30. Capstone Project - Big Mart Sell/7.1 Big Mart Sale 4 files.zip.zip 318KB
  177. 6. R Data Structure/9.1 A-deep-drive-into-data-frames-Study-Notes 3.pdf.pdf 298KB
  178. 20. SVM/9.4 Lesson 18 - SVM - iris.pdf.pdf 293KB
  179. 5. R Programming/5.1 R-Programming-Function-in-R-Study-Note.pdf.pdf 149KB
  180. 5. R Programming/2.1 R-Programming-conditional statement and loop.pdf.pdf 148KB
  181. 5. R Programming/3.1 R-Programming-conditional statement and loop.pdf.pdf 148KB
  182. 21. Naive Bayes/4.1 Naive_Bayes-Case Study.pdf.pdf 146KB
  183. 15. Data Pre-Processing/13.2 Lesson 13 - Data Pre-Processing -code1.pdf.pdf 145KB
  184. 29. Association Rule Mining/5.1 All Codes Association Rule Mining - 5 codes.zip.zip 127KB
  185. 18. Logistic Regression/10.2 Churn Data.csv.csv 126KB
  186. 7. Import and Export in R/12.7 urbanpop.xlsx.xlsx 123KB
  187. 7. Import and Export in R/7.1 urbanpop.xlsx.xlsx 123KB
  188. 5. R Programming/7.1 11-R-Programming-R-Function-Study-Note 2.pdf.pdf 119KB
  189. 22. Decision Tree/6.1 Churn Data.csv.csv 108KB
  190. 6. R Data Structure/14.1 17-R-Data-Structure-List.pdf.pdf 86KB
  191. 6. R Data Structure/11.1 16.R-Data-Structure-Factor.pdf.pdf 76KB
  192. 7. Import and Export in R/12.5 titanic_train.csv.csv 60KB
  193. 7. Import and Export in R/2.1 titanic-train.csv.csv 60KB
  194. 10. Introduction To Statistics/21.2 Intro-To-Statistic.pdf.pdf 58KB
  195. 21. Naive Bayes/4.2 Loan Default.csv.csv 49KB
  196. 16. SUPERVISED LEARNING REGRESSION/5. Linear Regression 5.vtt 27KB
  197. 18. Logistic Regression/7. Telecom Churn Case Study.vtt 23KB
  198. 16. SUPERVISED LEARNING REGRESSION/3. Linear Regression 3.vtt 23KB
  199. 1. Meet Your Instructor/2.1 Data Science - Course Carriculum Udemy.xlsx.xlsx 23KB
  200. 8. Data Manipulation/14.1 Data-Manipulation.docx.docx 22KB
  201. 9. Data Visualization/32. All Code Data Visualization.html 21KB
  202. 30. Capstone Project - Big Mart Sell/5. Big Mart Sale - Pre-Processing.vtt 21KB
  203. 25. K-Mean Clustering/2. K-Mean Clustering Intuition.vtt 20KB
  204. 30. Capstone Project - Big Mart Sell/6. Big Mart Sale - Model Building & Evaluation.vtt 20KB
  205. 21. Naive Bayes/1. Naive Bayes - Intuition.vtt 20KB
  206. 29. Association Rule Mining/4. Association Rule Mining - Case Study.vtt 20KB
  207. 31. Model Deployment/3. Model Deployment - Steps To Follow.vtt 19KB
  208. 10. Introduction To Statistics/21.1 Introduction-to-Statistics-codes-word-version.docx.docx 19KB
  209. 28. Principal Component Analysis (PCA)/3. PCA - Case Study.vtt 18KB
  210. 26. Hierarchical Clustering/2. Hierarchical Clustering R Code Implementation.vtt 18KB
  211. 28. Principal Component Analysis (PCA)/2. PCA - R Code Implementation.vtt 18KB
  212. 24. Capstone Project - Titanic Survival/9. Capstone Project - Decision Tree.vtt 18KB
  213. 16. SUPERVISED LEARNING REGRESSION/4. Linear Regression 4.vtt 17KB
  214. 30. Capstone Project - Big Mart Sell/1. Big Mart Sale - Data Structure.vtt 17KB
  215. 2. INTRODUCTION TO DATA SCIENCE/7. How to switch your career into ML.vtt 17KB
  216. 16. SUPERVISED LEARNING REGRESSION/10. Linear Regression 9 - Stepwise Regression.vtt 17KB
  217. 12. Hypothesis Testing in Practice/12. Chi Square -Part 2.vtt 16KB
  218. 10. Introduction To Statistics/9. Intro To Stat - Part 5.vtt 16KB
  219. 24. Capstone Project - Titanic Survival/7. Capstone Project - Logistics Regression.vtt 16KB
  220. 10. Introduction To Statistics/12. Intro To Stat - Part 7.vtt 16KB
  221. 12. Hypothesis Testing in Practice/1. Hypothesys Testing in Practice - Part 1.vtt 16KB
  222. 29. Association Rule Mining/1. Association Rule Mining -Introduction.vtt 16KB
  223. 15. Data Pre-Processing/11. Data Pre-Processing 7.vtt 16KB
  224. 25. K-Mean Clustering/3. K-Mean Clustering R Code Implementation.vtt 16KB
  225. 16. SUPERVISED LEARNING REGRESSION/2. Linear Regression 2.vtt 16KB
  226. 15. Data Pre-Processing/1. Data Pre-Processing 1.vtt 16KB
  227. 8. Data Manipulation/14. All Code Data Manipulation.html 16KB
  228. 10. Introduction To Statistics/5. Intro To Stat - Part 3.vtt 16KB
  229. 16. SUPERVISED LEARNING REGRESSION/6. Linear Regression 6.vtt 16KB
  230. 4. INTRODUCTION TO R/1. Introduction to R.vtt 16KB
  231. 9. Data Visualization/30. Data Visualization - ggplot2 Part 3.vtt 16KB
  232. 12. Hypothesis Testing in Practice/9. Hypothesys Testing in Practice - Part 6.vtt 15KB
  233. 12. Hypothesis Testing in Practice/4. Hypothesys Testing in Practice - Part 3.vtt 15KB
  234. 12. Hypothesis Testing in Practice/16. ANOVA - Part 2.vtt 15KB
  235. 16. SUPERVISED LEARNING REGRESSION/7. Linear Regression 7 - Correlation Part 1.vtt 15KB
  236. 10. Introduction To Statistics/18. Intro To Stat - Part 10.vtt 15KB
  237. 6. R Data Structure/4. Matrix, Array and Data Frame.vtt 15KB
  238. 16. SUPERVISED LEARNING REGRESSION/8. Linear Regression 7 - Correlation Part 2.vtt 15KB
  239. 15. Data Pre-Processing/3. Data Pre-Processing 2.vtt 15KB
  240. 22. Decision Tree/1. Decision Tree Intuition.vtt 15KB
  241. 13. Machine Learning Toolbox/1. Machine Learning Toolbox - Part 1.vtt 15KB
  242. 22. Decision Tree/5. Decision Tree Case Study.vtt 15KB
  243. 17. Classification Overview/1. Classification Overview.vtt 15KB
  244. 2. INTRODUCTION TO DATA SCIENCE/1. Introduction to Business Analytics.vtt 15KB
  245. 14. Business Use Case Understaing/1. Business Case Understanding.vtt 15KB
  246. 16. SUPERVISED LEARNING REGRESSION/9. Linear Regression 8 - Stepwise Regression.vtt 14KB
  247. 10. Introduction To Statistics/1. Intro To Stat - Part 1.vtt 14KB
  248. 22. Decision Tree/3. Decision Tree - R Code Implementation.vtt 14KB
  249. 18. Logistic Regression/1. Logistics Regression Intuition.vtt 14KB
  250. 8. Data Manipulation/4. Data Manipulation - mutate.vtt 14KB
  251. 7. Import and Export in R/12.1 Import-Export-Code.docx.docx 14KB
  252. 9. Data Visualization/27. Data Visualization - ggplot2 Part 1.vtt 14KB
  253. 19. K-NN/4. K-NN Case Study.vtt 14KB
  254. 8. Data Manipulation/5. Data Manipulation - filter.vtt 14KB
  255. 5. R Programming/1. R Programming - R Operator.vtt 14KB
  256. 2. INTRODUCTION TO DATA SCIENCE/5. Introduction To Data Scientist.vtt 14KB
  257. 19. K-NN/1. K-NN Intuition.vtt 14KB
  258. 12. Hypothesis Testing in Practice/14. ANOVA - Part 1.vtt 14KB
  259. 2. INTRODUCTION TO DATA SCIENCE/3. Introduction to Machine Learning.vtt 14KB
  260. 30. Capstone Project - Big Mart Sell/4. Big Mart Sale - Fetature Engineering.vtt 13KB
  261. 13. Machine Learning Toolbox/2. Machine Learning Toolbox - Part 2.vtt 13KB
  262. 12. Hypothesis Testing in Practice/18.1 hypo 10.docx.docx 13KB
  263. 16. SUPERVISED LEARNING REGRESSION/1. Linear Regression 1.vtt 13KB
  264. 15. Data Pre-Processing/8. Data Pre-Processing 5.vtt 13KB
  265. 26. Hierarchical Clustering/1. Hierarchical Clustering Intuition.vtt 13KB
  266. 5. R Programming/4. R Programming - R Function.vtt 13KB
  267. 6. R Data Structure/8. A Deep Drive to R Data Frame.vtt 13KB
  268. 16. SUPERVISED LEARNING REGRESSION/11. Linear Regression 10 - Dummy Variable.vtt 13KB
  269. 12. Hypothesis Testing in Practice/6. Hypothesys Testing in Practice - Part 4.vtt 13KB
  270. 19. K-NN/2. K-NN R Code Implementation.vtt 13KB
  271. 18. Logistic Regression/5. Model Evaluation.vtt 13KB
  272. 22. Decision Tree/4. Decision Tree Pruning.vtt 13KB
  273. 28. Principal Component Analysis (PCA)/1. PCA - Intuition.vtt 13KB
  274. 7. Import and Export in R/7. Import Excel, Web Data in R.vtt 13KB
  275. 8. Data Manipulation/1. Data Manipulation - Apply Function.vtt 13KB
  276. 11. HYPOTHESIS Testing -1/3. Hypothesys Testing - Part 2.vtt 13KB
  277. 25. K-Mean Clustering/4. K-Mean Clustering Case Study.vtt 13KB
  278. 23. Random Forest/1. Random Forest - Intuition.vtt 12KB
  279. 27. DBScan Clustering/1. DBScan Clustering -Intuition and R Code.vtt 12KB
  280. 6. R Data Structure/1. R Data Structure - Vector.vtt 12KB
  281. 5. R Programming/2. R Conditional Statement & Loop.vtt 12KB
  282. 9. Data Visualization/5. Data Visualization - pch.vtt 12KB
  283. 16. SUPERVISED LEARNING REGRESSION/12. Linear Regression 11 - Non Linear.vtt 12KB
  284. 12. Hypothesis Testing in Practice/10. Chi Square -Part 1.vtt 12KB
  285. 12. Hypothesis Testing in Practice/7. Hypothesys Testing in Practice - Part 5.vtt 12KB
  286. 8. Data Manipulation/3. Data Manipulation - select.vtt 11KB
  287. 4. INTRODUCTION TO R/3. Setting up R.vtt 11KB
  288. 10. Introduction To Statistics/14. Intro To Stat - Part 8.vtt 11KB
  289. 18. Logistic Regression/3. R Code Implementation -Part2.vtt 11KB
  290. 30. Capstone Project - Big Mart Sell/2. Big Mart Sale - Univariate Analysis.vtt 11KB
  291. 9. Data Visualization/1. Introduction to Data Visualization & Scatter Plot.vtt 11KB
  292. 29. Association Rule Mining/2. Association Rule Mining -R Code Implementation.vtt 11KB
  293. 11. HYPOTHESIS Testing -1/1. Hypothesys Testing - Part 1.vtt 11KB
  294. 31. Model Deployment/4. Model Deployment - Azure ML DEMO.vtt 11KB
  295. 15. Data Pre-Processing/5. Data Pre-Processing 3.vtt 11KB
  296. 24. Capstone Project - Titanic Survival/1. Capstone Project -Introduction.vtt 11KB
  297. 2. INTRODUCTION TO DATA SCIENCE/4. Introduction to Machine Learning.html 11KB
  298. 10. Introduction To Statistics/16. Intro To Stat - Part 9.vtt 11KB
  299. 23. Random Forest/3. Random Forest - Case Study.vtt 11KB
  300. 18. Logistic Regression/10.1 Social_Network_Ads.csv.csv 11KB
  301. 19. K-NN/6.2 Social_Network_Ads.csv.csv 11KB
  302. 20. SVM/9.3 Social_Network_Ads.csv.csv 11KB
  303. 21. Naive Bayes/4.3 Social_Network_Ads.csv.csv 11KB
  304. 5. R Programming/6. R Programming - R Function #2.vtt 11KB
  305. 8. Data Manipulation/8. Data Manipulation - Pipe Operator.vtt 10KB
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  424. 12. Hypothesis Testing in Practice/8. Hypothesys Testing in Practice - Part 5 STUDY NOTE.html 2KB
  425. 32. Bonus Section - $997 Value Inside/1. All Bonus - Interview Preparation + PDF + Private Group.html 2KB
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  432. 12. Hypothesis Testing in Practice/15. ANOVA 1 STUDY NOTE.html 2KB
  433. 10. Introduction To Statistics/15. Introduction To Statistic - Part 8 STUDY NOTE.html 2KB
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  438. 1. Meet Your Instructor/3. Join Our Private Facebook and Telegram Group ($497 Value).html 2KB
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