589689.xyz

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

  • 收录时间:2019-03-17 14:37:23
  • 文件大小:17GB
  • 下载次数:65
  • 最近下载:2021-01-08 21:23:43
  • 磁力链接:
立即下载 复制链接

文件列表

  1. 16. SUPERVISED LEARNING REGRESSION/3. Linear Regression 3.mp4 245MB
  2. 17. Logistic Regression/7. Telecom Churn Case Study.mp4 240MB
  3. 16. SUPERVISED LEARNING REGRESSION/3. Linear Regression 3.vtt 240MB
  4. 16. SUPERVISED LEARNING REGRESSION/5. Linear Regression 5.mp4 236MB
  5. 29. Capstone Project - Big Mart Sell/5. Big Mart Sale - Pre-Processing.mp4 235MB
  6. 3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.mp4 219MB
  7. 28. Association Rule Mining/4. Association Rule Mining - Case Study.mp4 204MB
  8. 29. Capstone Project - Big Mart Sell/6. Big Mart Sale - Model Building & Evaluation.mp4 201MB
  9. 30. Model Deployment/3. Model Deployment - Steps To Follow.mp4 199MB
  10. 8. Data Manipulation/5. Data Manipulation - filter.mp4 189MB
  11. 27. Principal Component Analysis (PCA)/2. PCA - R Code Implementation.mp4 182MB
  12. 8. Data Manipulation/4. Data Manipulation - mutate.mp4 176MB
  13. 24. K-Mean Clustering/3. K-Mean Clustering R Code Implementation.mp4 174MB
  14. 18. K-NN/4. K-NN Case Study.mp4 174MB
  15. 16. SUPERVISED LEARNING REGRESSION/4. Linear Regression 4.mp4 173MB
  16. 27. Principal Component Analysis (PCA)/3. PCA - Case Study.mp4 172MB
  17. 25. Hierarchical Clustering/2. Hierarchical Clustering R Code Implementation.mp4 168MB
  18. 10. Introduction To Statistics/12. Intro To Stat - Part 7.mp4 164MB
  19. 16. SUPERVISED LEARNING REGRESSION/10. Linear Regression 9 - Stepwise Regression.mp4 161MB
  20. 6. R Data Structure/4. Matrix, Array and Data Frame.mp4 160MB
  21. 28. Association Rule Mining/1. Association Rule Mining -Introduction.mp4 159MB
  22. 12. Hypothesis Testing in Practice/16. ANOVA - Part 2.mp4 157MB
  23. 12. Hypothesis Testing in Practice/1. Hypothesys Testing in Practice - Part 1.mp4 156MB
  24. 12. Hypothesis Testing in Practice/4. Hypothesys Testing in Practice - Part 3.mp4 154MB
  25. 9. Data Visualization/30. Data Visualization - ggplot2 Part 3.mp4 151MB
  26. 6. R Data Structure/8. A Deep Drive to R Data Frame.mp4 149MB
  27. 24. K-Mean Clustering/2. K-Mean Clustering Intuition.mp4 148MB
  28. 15. Data Pre-Processing/8. Data Pre-Processing 5.mp4 146MB
  29. 15. Data Pre-Processing/1. Data Pre-Processing 1.mp4 146MB
  30. 10. Introduction To Statistics/18. Intro To Stat - Part 10.mp4 145MB
  31. 29. Capstone Project - Big Mart Sell/4. Big Mart Sale - Fetature Engineering.mp4 145MB
  32. 12. Hypothesis Testing in Practice/9. Hypothesys Testing in Practice - Part 6.mp4 142MB
  33. 18. K-NN/2. K-NN R Code Implementation.mp4 141MB
  34. 7. Import and Export in R/7. Import Excel, Web Data in R.mp4 140MB
  35. 8. Data Manipulation/8. Data Manipulation - Pipe Operator.mp4 139MB
  36. 16. SUPERVISED LEARNING REGRESSION/8. Linear Regression 7 - Correlation Part 2.mp4 139MB
  37. 20. Naive Bayes/1. Naive Bayes - Intuition.mp4 137MB
  38. 15. Data Pre-Processing/11. Data Pre-Processing 7.mp4 135MB
  39. 4. INTRODUCTION TO R/1. Introduction to R.mp4 133MB
  40. 9. Data Visualization/7. Data Visualization - pch.mp4 133MB
  41. 21. Decision Tree/3. Decision Tree - R Code Implementation.mp4 131MB
  42. 15. Data Pre-Processing/3. Data Pre-Processing 2.mp4 131MB
  43. 16. SUPERVISED LEARNING REGRESSION/6. Linear Regression 6.mp4 128MB
  44. 16. SUPERVISED LEARNING REGRESSION/6. Linear Regression 6.vtt 128MB
  45. 30. Model Deployment/4. Model Deployment - Azure ML DEMO.mp4 128MB
  46. 12. Hypothesis Testing in Practice/12. Chi Square -Part 2.mp4 126MB
  47. 10. Introduction To Statistics/9. Intro To Stat - Part 5.mp4 124MB
  48. 10. Introduction To Statistics/5. Intro To Stat - Part 3.mp4 123MB
  49. 5. R Programming/1. R Programming - R Operator.mp4 121MB
  50. 9. Data Visualization/27. Data Visualization - ggplot2 Part 1.mp4 120MB
  51. 8. Data Manipulation/1. Data Manipulation - Apply Function.mp4 120MB
  52. 12. Hypothesis Testing in Practice/6. Hypothesys Testing in Practice - Part 4.mp4 120MB
  53. 16. SUPERVISED LEARNING REGRESSION/7. Linear Regression 7 - Correlation Part 1.mp4 119MB
  54. 5. R Programming/4. R Programming - R Function.mp4 118MB
  55. 2. INTRODUCTION TO DATA SCIENCE/3. Introduction to Machine Learning.mp4 118MB
  56. 2. INTRODUCTION TO DATA SCIENCE/7. How to switch your career into ML.mp4 117MB
  57. 8. Data Manipulation/3. Data Manipulation - select.mp4 117MB
  58. 17. Logistic Regression/3. R Code Implementation -Part2.mp4 116MB
  59. 10. Introduction To Statistics/14. Intro To Stat - Part 8.mp4 115MB
  60. 9. Data Visualization/1. Introduction to Data Visualization & Scatter Plot.mp4 115MB
  61. 4. INTRODUCTION TO R/3. Setting up R.mp4 115MB
  62. 16. SUPERVISED LEARNING REGRESSION/2. Linear Regression 2.mp4 114MB
  63. 9. Data Visualization/23. Data Visualization - 3D Plot.mp4 114MB
  64. 24. K-Mean Clustering/4. K-Mean Clustering Case Study.mp4 113MB
  65. 29. Capstone Project - Big Mart Sell/1. Big Mart Sale - Data Structure.mp4 112MB
  66. 28. Association Rule Mining/2. Association Rule Mining -R Code Implementation.mp4 112MB
  67. 6. R Data Structure/1. R Data Structure - Vector.mp4 112MB
  68. 12. Hypothesis Testing in Practice/3. Hypothesys Testing in Practice - Part 2.mp4 111MB
  69. 17. Logistic Regression/5. Model Evaluation.mp4 111MB
  70. 16. SUPERVISED LEARNING REGRESSION/11. Linear Regression 10 - Dummy Variable.mp4 108MB
  71. 11. HYPOTHESIS Testing -1/5. Hypothesys Testing - Part 3.mp4 108MB
  72. 10. Introduction To Statistics/16. Intro To Stat - Part 9.mp4 108MB
  73. 2. INTRODUCTION TO DATA SCIENCE/1. Introduction to Business Analytics.mp4 108MB
  74. 10. Introduction To Statistics/1. Intro To Stat - Part 1.mp4 107MB
  75. 12. Hypothesis Testing in Practice/14. ANOVA - Part 1.mp4 106MB
  76. 29. Capstone Project - Big Mart Sell/2. Big Mart Sale - Univariate Analysis.mp4 105MB
  77. 11. HYPOTHESIS Testing -1/3. Hypothesys Testing - Part 2.mp4 105MB
  78. 5. R Programming/6. R Programming - R Function #2.mp4 104MB
  79. 8. Data Manipulation/10. Data Manipulation - group by.mp4 103MB
  80. 8. Data Manipulation/6. Data Manipulation - arrange.mp4 103MB
  81. 21. Decision Tree/1. Decision Tree Intuition.mp4 103MB
  82. 23. Capstone Project - Titanic Survival/1. Capstone Project -Introduction.mp4 101MB
  83. 15. Data Pre-Processing/5. Data Pre-Processing 3.mp4 101MB
  84. 26. DBScan Clustering/1. DBScan Clustering -Intuition and R Code.mp4 100MB
  85. 9. Data Visualization/25. Correlation Plot and Word Cloud.mp4 100MB
  86. 30. Model Deployment/2. Model Deployment - Pre Requisite.mp4 99MB
  87. 12. Hypothesis Testing in Practice/16. ANOVA - Part 2.vtt 99MB
  88. 8. Data Manipulation/12. Data Manipulation - Date.mp4 98MB
  89. 16. SUPERVISED LEARNING REGRESSION/9. Linear Regression 8 - Stepwise Regression.mp4 97MB
  90. 12. Hypothesis Testing in Practice/10. Chi Square -Part 1.mp4 97MB
  91. 19. SVM/2. SVM - R Code Implementation.mp4 97MB
  92. 17. Logistic Regression/1. Logistics Regression Intuition.mp4 97MB
  93. 22. Random Forest/3. Random Forest - Case Study.mp4 97MB
  94. 20. Naive Bayes/2. Naive Bayes - R Code Implementation.mp4 96MB
  95. 13. Machine Learning Toolbox/1. Machine Learning Toolbox - Part 1.vtt 95MB
  96. 13. Machine Learning Toolbox/1. Machine Learning Toolbox - Part 1.mp4 95MB
  97. 12. Hypothesis Testing in Practice/7. Hypothesys Testing in Practice - Part 5.mp4 95MB
  98. 7. Import and Export in R/1. Import CSV Data in R.mp4 91MB
  99. 14. Business Use Case Understaing/1. Business Case Understanding.mp4 90MB
  100. 15. Data Pre-Processing/7. Data Pre-Processing 4.mp4 89MB
  101. 18. K-NN/1. K-NN Intuition.mp4 89MB
  102. 19. SVM/4. SVM - Model Tuning.mp4 87MB
  103. 16. SUPERVISED LEARNING REGRESSION/12. Linear Regression 11 - Non Linear.mp4 87MB
  104. 2. INTRODUCTION TO DATA SCIENCE/5. Introduction To Data Scientist.mp4 87MB
  105. 26. DBScan Clustering/2. DBScan Clustering - Case Study.mp4 86MB
  106. 26. DBScan Clustering/2. DBScan Clustering - Case Study.vtt 86MB
  107. 5. R Programming/2. R Conditional Statement & Loop.mp4 85MB
  108. 29. Capstone Project - Big Mart Sell/3. Big Mart Sale - Bi-Variate Analysis.mp4 83MB
  109. 9. Data Visualization/28. Data Visualization - ggplot2 Part 2.mp4 83MB
  110. 9. Data Visualization/28. Data Visualization - ggplot2 Part 2.vtt 83MB
  111. 22. Random Forest/1. Random Forest - Intuition.mp4 82MB
  112. 9. Data Visualization/3. Data Visualization - mfrow.mp4 81MB
  113. 27. Principal Component Analysis (PCA)/1. PCA - Intuition.mp4 80MB
  114. 25. Hierarchical Clustering/1. Hierarchical Clustering Intuition.mp4 79MB
  115. 23. Capstone Project - Titanic Survival/6. Capstone Project - Feature Engineering.vtt 79MB
  116. 23. Capstone Project - Titanic Survival/6. Capstone Project - Feature Engineering.mp4 79MB
  117. 20. Naive Bayes/3. Naive Bayes - Case Study.mp4 76MB
  118. 9. Data Visualization/15. Data Visualization - Histogram.mp4 75MB
  119. 16. SUPERVISED LEARNING REGRESSION/1. Linear Regression 1.mp4 74MB
  120. 25. Hierarchical Clustering/3. Hierarchical Clustering Case Study.mp4 73MB
  121. 13. Machine Learning Toolbox/2. Machine Learning Toolbox - Part 2.mp4 73MB
  122. 23. Capstone Project - Titanic Survival/4. Capstone Project - Data Preparation.mp4 72MB
  123. 9. Data Visualization/21. Data Visualization - Mosaic Plot and Heat Map.mp4 72MB
  124. 28. Association Rule Mining/3. Association Rule Mining - Pre-Processing.mp4 72MB
  125. 30. Model Deployment/1. Model Deployment - Workflow.mp4 71MB
  126. 10. Introduction To Statistics/3. Intro To Stat - Part 2.mp4 71MB
  127. 10. Introduction To Statistics/11. Intro To Stat - Part 6.mp4 69MB
  128. 11. HYPOTHESIS Testing -1/1. Hypothesys Testing - Part 1.mp4 68MB
  129. 21. Decision Tree/2. Decision Tree -How it works.mp4 68MB
  130. 21. Decision Tree/2. Decision Tree -How it works.vtt 68MB
  131. 23. Capstone Project - Titanic Survival/3. Capstone Project - Lazy Predictor.mp4 67MB
  132. 10. Introduction To Statistics/20. Intro To Stat - Part 11.mp4 67MB
  133. 9. Data Visualization/11. Data Visualization - Bar Plot.mp4 66MB
  134. 9. Data Visualization/13. Data Visualization - Pie Chart.mp4 61MB
  135. 6. R Data Structure/13. R Data Structure - List.mp4 61MB
  136. 23. Capstone Project - Titanic Survival/2. Capstone Project - Data Understanding.mp4 59MB
  137. 19. SVM/1. SVM - Intuition.mp4 56MB
  138. 6. R Data Structure/10. R Data Structure - Factor.mp4 55MB
  139. 22. Random Forest/2. Random Forest -R Code Implementation.mp4 54MB
  140. 17. Logistic Regression/9. Summary.mp4 53MB
  141. 19. SVM/6. SVM - Telecom Case Study.mp4 53MB
  142. 23. Capstone Project - Titanic Survival/5. Capstone Project - Data Exploration.mp4 52MB
  143. 17. Logistic Regression/2. R Code Implementation -Part1.mp4 52MB
  144. 11. HYPOTHESIS Testing -1/6. Hypothesys Testing - Part 4.mp4 51MB
  145. 5. R Programming/8. R Programming - R Function #3.mp4 51MB
  146. 12. Hypothesis Testing in Practice/17. What we discussed in the chapter so far - Summary of the Chapter.mp4 49MB
  147. 9. Data Visualization/19. Data Visualization - Box Plot.mp4 47MB
  148. 15. Data Pre-Processing/10. Data Pre-Processing 6.mp4 42MB
  149. 24. K-Mean Clustering/1. Unsupervised Learning Introduction.mp4 41MB
  150. 7. Import and Export in R/11. Export Data in R - CSV & Excel.mp4 38MB
  151. 7. Import and Export in R/4. Import Text Data in R.mp4 34MB
  152. 9. Data Visualization/9. Data Visualization - Line Chart.mp4 33MB
  153. 2. INTRODUCTION TO DATA SCIENCE/9. How to switch your career into ML.mp4 31MB
  154. 19. SVM/8. SVM - Non Separable Case.mp4 30MB
  155. 19. SVM/9. SVM - Pros and Cons.mp4 30MB
  156. 10. Introduction To Statistics/7. Intro To Stat - Part 4.mp4 29MB
  157. 9. Data Visualization/17. Data Visualization - Density Plot.mp4 22MB
  158. 1. Meet Your Instructor/1. Meet Your Instructor.mp4 21MB
  159. 7. Import and Export in R/9. Export Data in R - Text.mp4 20MB
  160. 9. Data Visualization/5. Data Visualization - Color.mp4 10MB
  161. 9. Data Visualization/7. Data Visualization - pch.vtt 7MB
  162. 9. Data Visualization/32.1 data-visualization-codes-pdf.pdf.pdf 2MB
  163. 15. Data Pre-Processing/13.1 Lesson 13 - Data Pre-Processing - code 2.pdf.pdf 2MB
  164. 15. Data Pre-Processing/13.2 Lesson 13 - Data Pre-Processing - code 2.pdf.pdf 2MB
  165. 5. R Programming/10.1 R-Programming-Codes.pdf.pdf 1MB
  166. 21. Decision Tree/4.2 Decision Tree - codes.pdf.pdf 1MB
  167. 29. Capstone Project - Big Mart Sell/7.4 Train_UWu5bXk.csv.csv 849KB
  168. 6. R Data Structure/16.1 R-Data-Structure-CODES.pdf.pdf 826KB
  169. 17. Logistic Regression/10.4 Churn Model data.pdf.pdf 589KB
  170. 17. Logistic Regression/10.5 Churn Model data.pdf.pdf 589KB
  171. 29. Capstone Project - Big Mart Sell/7.1 Test_u94Q5KV.csv.csv 515KB
  172. 29. Capstone Project - Big Mart Sell/7.3 Test_u94Q5KV.csv.csv 515KB
  173. 17. Logistic Regression/10.3 Lesson 16 - Logistics Regression - social network data.pdf.pdf 485KB
  174. 17. Logistic Regression/10.4 Lesson 16 - Logistics Regression - social network data.pdf.pdf 485KB
  175. 20. Naive Bayes/4.3 Naive_Bayes codes.pdf.pdf 447KB
  176. 20. Naive Bayes/4.4 Naive_Bayes codes.pdf.pdf 447KB
  177. 18. K-NN/6.1 KNN Codes.pdf.pdf 441KB
  178. 19. SVM/10.2 Lesson 18 - SVM - casestudy.pdf.pdf 440KB
  179. 17. Logistic Regression/10.2 Lesson 16 - Logistics Regression - mtcars data.pdf.pdf 429KB
  180. 17. Logistic Regression/10.3 Lesson 16 - Logistics Regression - mtcars data.pdf.pdf 429KB
  181. 18. K-NN/6.2 KNN - Case Study.pdf.pdf 404KB
  182. 18. K-NN/6.3 KNN - Case Study.pdf.pdf 404KB
  183. 19. SVM/10.1 Lesson 18 - SVM - chunt.pdf.pdf 343KB
  184. 19. SVM/10.4 Lesson 18 - SVM - chunt.pdf.pdf 343KB
  185. 6. R Data Structure/2.1 Data-Structure-Vector-Study-Note.pdf.pdf 323KB
  186. 29. Capstone Project - Big Mart Sell/7.1 all code big mart sell.zip.zip 314KB
  187. 29. Capstone Project - Big Mart Sell/7.2 all code big mart sell.zip.zip 314KB
  188. 6. R Data Structure/9.1 A-deep-drive-into-data-frames-Study-Notes 3.pdf.pdf 298KB
  189. 19. SVM/10.1 Lesson 18 - SVM - iris.pdf.pdf 293KB
  190. 19. SVM/10.3 Lesson 18 - SVM - iris.pdf.pdf 293KB
  191. 5. R Programming/5.1 R-Programming-Function-in-R-Study-Note.pdf.pdf 149KB
  192. 5. R Programming/2.1 R-Programming-conditional statement and loop.pdf.pdf 148KB
  193. 5. R Programming/3.1 R-Programming-conditional statement and loop.pdf.pdf 148KB
  194. 20. Naive Bayes/4.1 Naive_Bayes-Case Study.pdf.pdf 146KB
  195. 20. Naive Bayes/4.4 Naive_Bayes-Case Study.pdf.pdf 146KB
  196. 15. Data Pre-Processing/13.1 Lesson 13 - Data Pre-Processing -code1.pdf.pdf 145KB
  197. 15. Data Pre-Processing/13.2 Lesson 13 - Data Pre-Processing -code1.pdf.pdf 145KB
  198. 28. Association Rule Mining/5.1 All Codes Association Rule Mining - 5 codes.zip.zip 127KB
  199. 17. Logistic Regression/10.1 Churn Data.csv.csv 126KB
  200. 7. Import and Export in R/13.2 urbanpop.xlsx.xlsx 123KB
  201. 7. Import and Export in R/13.6 urbanpop.xlsx.xlsx 123KB
  202. 7. Import and Export in R/7.1 urbanpop.xlsx.xlsx 123KB
  203. 5. R Programming/7.1 11-R-Programming-R-Function-Study-Note 2.pdf.pdf 119KB
  204. 21. Decision Tree/4.1 Churn Data.csv.csv 108KB
  205. 6. R Data Structure/14.1 17-R-Data-Structure-List.pdf.pdf 86KB
  206. 29. Capstone Project - Big Mart Sell/7.2 SampleSubmission_TmnO39y.csv.csv 83KB
  207. 29. Capstone Project - Big Mart Sell/7.3 SampleSubmission_TmnO39y.csv.csv 83KB
  208. 6. R Data Structure/11.1 16.R-Data-Structure-Factor.pdf.pdf 76KB
  209. 7. Import and Export in R/13.3 titanic_train.csv.csv 60KB
  210. 7. Import and Export in R/13.7 titanic_train.csv.csv 60KB
  211. 7. Import and Export in R/2.1 titanic-train.csv.csv 60KB
  212. 10. Introduction To Statistics/21.1 Intro-To-Statistic.pdf.pdf 58KB
  213. 20. Naive Bayes/4.1 Loan Default.csv.csv 49KB
  214. 20. Naive Bayes/4.2 Loan Default.csv.csv 49KB
  215. 16. SUPERVISED LEARNING REGRESSION/5. Linear Regression 5.vtt 27KB
  216. 3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.vtt 25KB
  217. 17. Logistic Regression/7. Telecom Churn Case Study.vtt 23KB
  218. 1. Meet Your Instructor/2.1 Data Science - Course Carriculum Udemy.xlsx.xlsx 23KB
  219. 8. Data Manipulation/14.1 Data-Manipulation.docx.docx 22KB
  220. 9. Data Visualization/32. All Code Data Visualization.html 21KB
  221. 29. Capstone Project - Big Mart Sell/5. Big Mart Sale - Pre-Processing.vtt 21KB
  222. 24. K-Mean Clustering/2. K-Mean Clustering Intuition.vtt 20KB
  223. 29. Capstone Project - Big Mart Sell/6. Big Mart Sale - Model Building & Evaluation.vtt 20KB
  224. 20. Naive Bayes/1. Naive Bayes - Intuition.vtt 20KB
  225. 28. Association Rule Mining/4. Association Rule Mining - Case Study.vtt 20KB
  226. 30. Model Deployment/3. Model Deployment - Steps To Follow.vtt 19KB
  227. 10. Introduction To Statistics/21.2 Introduction-to-Statistics-codes-word-version.docx.docx 19KB
  228. 27. Principal Component Analysis (PCA)/3. PCA - Case Study.vtt 18KB
  229. 25. Hierarchical Clustering/2. Hierarchical Clustering R Code Implementation.vtt 18KB
  230. 27. Principal Component Analysis (PCA)/2. PCA - R Code Implementation.vtt 18KB
  231. 16. SUPERVISED LEARNING REGRESSION/4. Linear Regression 4.vtt 17KB
  232. 29. Capstone Project - Big Mart Sell/1. Big Mart Sale - Data Structure.vtt 17KB
  233. 2. INTRODUCTION TO DATA SCIENCE/7. How to switch your career into ML.vtt 17KB
  234. 16. SUPERVISED LEARNING REGRESSION/10. Linear Regression 9 - Stepwise Regression.vtt 17KB
  235. 10. Introduction To Statistics/9. Intro To Stat - Part 5.vtt 16KB
  236. 12. Hypothesis Testing in Practice/12. Chi Square -Part 2.vtt 16KB
  237. 28. Association Rule Mining/1. Association Rule Mining -Introduction.vtt 16KB
  238. 24. K-Mean Clustering/3. K-Mean Clustering R Code Implementation.vtt 16KB
  239. 10. Introduction To Statistics/5. Intro To Stat - Part 3.vtt 16KB
  240. 10. Introduction To Statistics/12. Intro To Stat - Part 7.vtt 16KB
  241. 15. Data Pre-Processing/1. Data Pre-Processing 1.vtt 16KB
  242. 16. SUPERVISED LEARNING REGRESSION/2. Linear Regression 2.vtt 16KB
  243. 8. Data Manipulation/14. All Code Data Manipulation.html 16KB
  244. 11. HYPOTHESIS Testing -1/5. Hypothesys Testing - Part 3.vtt 16KB
  245. 12. Hypothesis Testing in Practice/4. Hypothesys Testing in Practice - Part 3.vtt 16KB
  246. 4. INTRODUCTION TO R/1. Introduction to R.vtt 16KB
  247. 15. Data Pre-Processing/3. Data Pre-Processing 2.vtt 15KB
  248. 9. Data Visualization/30. Data Visualization - ggplot2 Part 3.vtt 15KB
  249. 16. SUPERVISED LEARNING REGRESSION/7. Linear Regression 7 - Correlation Part 1.vtt 15KB
  250. 10. Introduction To Statistics/18. Intro To Stat - Part 10.vtt 15KB
  251. 12. Hypothesis Testing in Practice/9. Hypothesys Testing in Practice - Part 6.vtt 15KB
  252. 16. SUPERVISED LEARNING REGRESSION/8. Linear Regression 7 - Correlation Part 2.vtt 15KB
  253. 6. R Data Structure/4. Matrix, Array and Data Frame.vtt 15KB
  254. 21. Decision Tree/1. Decision Tree Intuition.vtt 15KB
  255. 2. INTRODUCTION TO DATA SCIENCE/1. Introduction to Business Analytics.vtt 15KB
  256. 16. SUPERVISED LEARNING REGRESSION/9. Linear Regression 8 - Stepwise Regression.vtt 15KB
  257. 10. Introduction To Statistics/1. Intro To Stat - Part 1.vtt 15KB
  258. 17. Logistic Regression/1. Logistics Regression Intuition.vtt 15KB
  259. 15. Data Pre-Processing/11. Data Pre-Processing 7.vtt 15KB
  260. 14. Business Use Case Understaing/1. Business Case Understanding.vtt 14KB
  261. 21. Decision Tree/3. Decision Tree - R Code Implementation.vtt 14KB
  262. 18. K-NN/4. K-NN Case Study.vtt 14KB
  263. 7. Import and Export in R/13.1 Import-Export-Code.docx.docx 14KB
  264. 7. Import and Export in R/13.2 Import-Export-Code.docx.docx 14KB
  265. 8. Data Manipulation/4. Data Manipulation - mutate.vtt 14KB
  266. 8. Data Manipulation/5. Data Manipulation - filter.vtt 14KB
  267. 9. Data Visualization/27. Data Visualization - ggplot2 Part 1.vtt 14KB
  268. 2. INTRODUCTION TO DATA SCIENCE/5. Introduction To Data Scientist.vtt 14KB
  269. 5. R Programming/1. R Programming - R Operator.vtt 14KB
  270. 2. INTRODUCTION TO DATA SCIENCE/3. Introduction to Machine Learning.vtt 14KB
  271. 18. K-NN/1. K-NN Intuition.vtt 14KB
  272. 12. Hypothesis Testing in Practice/14. ANOVA - Part 1.vtt 14KB
  273. 15. Data Pre-Processing/8. Data Pre-Processing 5.vtt 14KB
  274. 29. Capstone Project - Big Mart Sell/4. Big Mart Sale - Fetature Engineering.vtt 13KB
  275. 13. Machine Learning Toolbox/2. Machine Learning Toolbox - Part 2.vtt 13KB
  276. 12. Hypothesis Testing in Practice/18.1 hypo 10.docx.docx 13KB
  277. 5. R Programming/4. R Programming - R Function.vtt 13KB
  278. 25. Hierarchical Clustering/1. Hierarchical Clustering Intuition.vtt 13KB
  279. 16. SUPERVISED LEARNING REGRESSION/1. Linear Regression 1.vtt 13KB
  280. 18. K-NN/2. K-NN R Code Implementation.vtt 13KB
  281. 16. SUPERVISED LEARNING REGRESSION/11. Linear Regression 10 - Dummy Variable.vtt 13KB
  282. 12. Hypothesis Testing in Practice/6. Hypothesys Testing in Practice - Part 4.vtt 13KB
  283. 17. Logistic Regression/5. Model Evaluation.vtt 13KB
  284. 6. R Data Structure/8. A Deep Drive to R Data Frame.vtt 13KB
  285. 11. HYPOTHESIS Testing -1/3. Hypothesys Testing - Part 2.vtt 13KB
  286. 27. Principal Component Analysis (PCA)/1. PCA - Intuition.vtt 13KB
  287. 7. Import and Export in R/7. Import Excel, Web Data in R.vtt 13KB
  288. 24. K-Mean Clustering/4. K-Mean Clustering Case Study.vtt 13KB
  289. 8. Data Manipulation/1. Data Manipulation - Apply Function.vtt 13KB
  290. 5. R Programming/2. R Conditional Statement & Loop.vtt 12KB
  291. 22. Random Forest/1. Random Forest - Intuition.vtt 12KB
  292. 26. DBScan Clustering/1. DBScan Clustering -Intuition and R Code.vtt 12KB
  293. 6. R Data Structure/1. R Data Structure - Vector.vtt 12KB
  294. 12. Hypothesis Testing in Practice/10. Chi Square -Part 1.vtt 12KB
  295. 16. SUPERVISED LEARNING REGRESSION/12. Linear Regression 11 - Non Linear.vtt 12KB
  296. 8. Data Manipulation/3. Data Manipulation - select.vtt 12KB
  297. 12. Hypothesis Testing in Practice/7. Hypothesys Testing in Practice - Part 5.vtt 12KB
  298. 4. INTRODUCTION TO R/3. Setting up R.vtt 11KB
  299. 10. Introduction To Statistics/14. Intro To Stat - Part 8.vtt 11KB
  300. 11. HYPOTHESIS Testing -1/1. Hypothesys Testing - Part 1.vtt 11KB
  301. 17. Logistic Regression/3. R Code Implementation -Part2.vtt 11KB
  302. 29. Capstone Project - Big Mart Sell/2. Big Mart Sale - Univariate Analysis.vtt 11KB
  303. 9. Data Visualization/1. Introduction to Data Visualization & Scatter Plot.vtt 11KB
  304. 28. Association Rule Mining/2. Association Rule Mining -R Code Implementation.vtt 11KB
  305. 30. Model Deployment/4. Model Deployment - Azure ML DEMO.vtt 11KB
  306. 10. Introduction To Statistics/16. Intro To Stat - Part 9.vtt 11KB
  307. 23. Capstone Project - Titanic Survival/1. Capstone Project -Introduction.vtt 11KB
  308. 2. INTRODUCTION TO DATA SCIENCE/4. Introduction to Machine Learning.html 11KB
  309. 15. Data Pre-Processing/5. Data Pre-Processing 3.vtt 11KB
  310. 22. Random Forest/3. Random Forest - Case Study.vtt 11KB
  311. 17. Logistic Regression/10.2 Social_Network_Ads.csv.csv 11KB
  312. 17. Logistic Regression/10.5 Social_Network_Ads.csv.csv 11KB
  313. 18. K-NN/6.2 Social_Network_Ads.csv.csv 11KB
  314. 18. K-NN/6.3 Social_Network_Ads.csv.csv 11KB
  315. 19. SVM/10.3 Social_Network_Ads.csv.csv 11KB
  316. 19. SVM/10.4 Social_Network_Ads.csv.csv 11KB
  317. 20. Naive Bayes/4.2 Social_Network_Ads.csv.csv 11KB
  318. 20. Naive Bayes/4.3 Social_Network_Ads.csv.csv 11KB
  319. 5. R Programming/6. R Programming - R Function #2.vtt 11KB
  320. 8. Data Manipulation/8. Data Manipulation - Pipe Operator.vtt 10KB
  321. 9. Data Visualization/23. Data Visualization - 3D Plot.vtt 10KB
  322. 12. Hypothesis Testing in Practice/3. Hypothesys Testing in Practice - Part 2.vtt 10KB
  323. 15. Data Pre-Processing/7. Data Pre-Processing 4.vtt 10KB
  324. 30. Model Deployment/1. Model Deployment - Workflow.vtt 10KB
  325. 8. Data Manipulation/12. Data Manipulation - Date.vtt 10KB
  326. 7. Import and Export in R/1. Import CSV Data in R.vtt 10KB
  327. 10. Introduction To Statistics/3. Intro To Stat - Part 2.vtt 10KB
  328. 9. Data Visualization/25. Correlation Plot and Word Cloud.vtt 9KB
  329. 30. Model Deployment/2. Model Deployment - Pre Requisite.vtt 9KB
  330. 10. Introduction To Statistics/2. Introduction To Statistic - Part 1 STUDY NOTE.html 9KB
  331. 5. R Programming/5. R Programming - Function in R Study Note #1.html 9KB
  332. 19. SVM/1. SVM - Intuition.vtt 9KB
  333. 8. Data Manipulation/6. Data Manipulation - arrange.vtt 9KB
  334. 2. INTRODUCTION TO DATA SCIENCE/6. Introduction To Data Scientist.html 9KB
  335. 5. R Programming/10. All Codes R Programming Study Note.html 9KB
  336. 10. Introduction To Statistics/11. Intro To Stat - Part 6.vtt 9KB
  337. 10. Introduction To Statistics/4. Introduction To Statistic - Part 2 STUDY NOTE.html 9KB
  338. 5. R Programming/3. R Conditional Statement & Loop Study Note.html 8KB
  339. 19. SVM/2. SVM - R Code Implementation.vtt 8KB
  340. 8. Data Manipulation/2. Data Manipulation - Apply Function STUDY NOTE.html 8KB
  341. 8. Data Manipulation/10. Data Manipulation - group by.vtt 8KB
  342. 10. Introduction To Statistics/17. Introduction To Statistic - Part 9 STUDY NOTE.html 8KB
  343. 2. INTRODUCTION TO DATA SCIENCE/2. Introduction to Business Analytics.html 8KB
  344. 20. Naive Bayes/2. Naive Bayes - R Code Implementation.vtt 8KB
  345. 4. INTRODUCTION TO R/2. Introduction to R.html 8KB
  346. 9. Data Visualization/21. Data Visualization - Mosaic Plot and Heat Map.vtt 8KB
  347. 15. Data Pre-Processing/10. Data Pre-Processing 6.vtt 8KB
  348. 19. SVM/4. SVM - Model Tuning.vtt 8KB
  349. 2. INTRODUCTION TO DATA SCIENCE/8. How to switch your career into ML.html 8KB
  350. 6. R Data Structure/16. All Code R Data Structure.html 8KB
  351. 9. Data Visualization/3. Data Visualization - mfrow.vtt 8KB
  352. 10. Introduction To Statistics/21. Introduction To Statistics - All Codes.html 8KB
  353. 25. Hierarchical Clustering/3. Hierarchical Clustering Case Study.vtt 8KB
  354. 19. SVM/6. SVM - Telecom Case Study.vtt 8KB
  355. 10. Introduction To Statistics/20. Intro To Stat - Part 11.vtt 7KB
  356. 9. Data Visualization/11. Data Visualization - Bar Plot.vtt 7KB
  357. 9. Data Visualization/15. Data Visualization - Histogram.vtt 7KB
  358. 28. Association Rule Mining/3. Association Rule Mining - Pre-Processing.vtt 7KB
  359. 9. Data Visualization/33.1 par function.docx.docx 7KB
  360. 20. Naive Bayes/3. Naive Bayes - Case Study.vtt 7KB
  361. 23. Capstone Project - Titanic Survival/3. Capstone Project - Lazy Predictor.vtt 7KB
  362. 5. R Programming/7. R Programming - R Function #2.html 7KB
  363. 29. Capstone Project - Big Mart Sell/3. Big Mart Sale - Bi-Variate Analysis.vtt 7KB
  364. 9. Data Visualization/13. Data Visualization - Pie Chart.vtt 7KB
  365. 6. R Data Structure/5. Matrix, Array and Data Frame - Study Note.html 7KB
  366. 17. Logistic Regression/9. Summary.vtt 7KB
  367. 6. R Data Structure/2. Vector Study Note.html 7KB
  368. 12. Hypothesis Testing in Practice/18. All Codes Hypothesis Testing in Practice.html 7KB
  369. 23. Capstone Project - Titanic Survival/7.1 All Codes Capstone Project -Titanic Survival.zip.zip 7KB
  370. 6. R Data Structure/13. R Data Structure - List.vtt 7KB
  371. 23. Capstone Project - Titanic Survival/4. Capstone Project - Data Preparation.vtt 7KB
  372. 5. R Programming/8. R Programming - R Function #3.vtt 6KB
  373. 11. HYPOTHESIS Testing -1/6. Hypothesys Testing - Part 4.vtt 6KB
  374. 24. K-Mean Clustering/1. Unsupervised Learning Introduction.vtt 6KB
  375. 27. Principal Component Analysis (PCA)/4.1 All codes Principal Component Analysis.zip.zip 6KB
  376. 6. R Data Structure/11. R Data Structure - Factor Study Notes.html 6KB
  377. 12. Hypothesis Testing in Practice/17. What we discussed in the chapter so far - Summary of the Chapter.vtt 6KB
  378. 2. INTRODUCTION TO DATA SCIENCE/10. How to switch your career into ML Part #2.html 6KB
  379. 8. Data Manipulation/7. mutate(),filter(),arrange() Function Study Note.html 6KB
  380. 17. Logistic Regression/2. R Code Implementation -Part1.vtt 6KB
  381. 22. Random Forest/2. Random Forest -R Code Implementation.vtt 5KB
  382. 5. R Programming/9. R Programming - R Function #3.html 5KB
  383. 7. Import and Export in R/11.1 Newmtcars.xlsx.xlsx 5KB
  384. 7. Import and Export in R/13.1 Newmtcars.xlsx.xlsx 5KB
  385. 7. Import and Export in R/13.4 Newmtcars.xlsx.xlsx 5KB
  386. 9. Data Visualization/19. Data Visualization - Box Plot.vtt 5KB
  387. 6. R Data Structure/14. List - Study Note.html 5KB
  388. 23. Capstone Project - Titanic Survival/2. Capstone Project - Data Understanding.vtt 5KB
  389. 10. Introduction To Statistics/6. Introduction To Statistic - Part 3 STUDY NOTE.html 5KB
  390. 10. Introduction To Statistics/10. Introduction To Statistic - Part 5 STUDY NOTE.html 5KB
  391. 23. Capstone Project - Titanic Survival/5. Capstone Project - Data Exploration.vtt 5KB
  392. 6. R Data Structure/9. A Deep Drive to R Data Frame - Study Note.html 4KB
  393. 10. Introduction To Statistics/7. Intro To Stat - Part 4.vtt 4KB
  394. 16. SUPERVISED LEARNING REGRESSION/13.1 All codes Regression - 4 codes.zip.zip 4KB
  395. 9. Data Visualization/33. Par Function Code.html 4KB
  396. 7. Import and Export in R/11. Export Data in R - CSV & Excel.vtt 4KB
  397. 9. Data Visualization/2. Data Visualization - Scatter Plot Study Note.html 4KB
  398. 9. Data Visualization/29. PART 2 Data Visualization - ggplot2.html 4KB
  399. 6. R Data Structure/10. R Data Structure - Factor.vtt 4KB
  400. 8. Data Manipulation/9. Pipe operator Study Note.html 4KB
  401. 9. Data Visualization/31. PART 3 Data Visualization - ggplot2.html 4KB
  402. 19. SVM/8. SVM - Non Separable Case.vtt 4KB
  403. 19. SVM/9. SVM - Pros and Cons.vtt 4KB
  404. 10. Introduction To Statistics/13. Introduction To Statistic - Part 7 STUDY NOTE.html 4KB
  405. 2. INTRODUCTION TO DATA SCIENCE/9. How to switch your career into ML.vtt 4KB
  406. 15. Data Pre-Processing/9. CODES-Data Pre-Processing 5.html 4KB
  407. 7. Import and Export in R/4. Import Text Data in R.vtt 3KB
  408. 9. Data Visualization/24. Data Visualization - 3D Plot STUDY NOTE.html 3KB
  409. 11. HYPOTHESIS Testing -1/4. Hypothesys Testing - Part 2 STUDY NOTES.html 3KB
  410. 17. Logistic Regression/8. CODES - Telecom Churn Case Study.html 3KB
  411. 7. Import and Export in R/13. All Code Import and Export in R.html 3KB
  412. 24. K-Mean Clustering/5.1 All Codes K-Mean Clustering.zip.zip 3KB
  413. 11. HYPOTHESIS Testing -1/2. Hypothesys Testing in Practice - Part 1 STUDY NOTE.html 3KB
  414. 9. Data Visualization/9. Data Visualization - Line Chart.vtt 3KB
  415. 10. Introduction To Statistics/8. Part 4 Introduction To Statistic STUDY NOTE.html 3KB
  416. 25. Hierarchical Clustering/4.1 All Codes - Hierarchical CLustering.zip.zip 3KB
  417. 9. Data Visualization/26. Data Visualization - Word Cloud STUDY NOTE.html 3KB
  418. 9. Data Visualization/22. Data Visualization - Mosaic Plot and Heat Map SYUDY NOTE.html 3KB
  419. 1. Meet Your Instructor/1. Meet Your Instructor.vtt 3KB
  420. 9. Data Visualization/16. Data Visualization - Histogram STUDY NOTE.html 3KB
  421. 7. Import and Export in R/2. Import CSV Data in R study note.html 3KB
  422. 9. Data Visualization/4. Data Visualization - mfrow Study Note.html 3KB
  423. 7. Import and Export in R/9. Export Data in R - Text.vtt 3KB
  424. 12. Hypothesis Testing in Practice/5. Hypothesys Testing in Practice - Part 3 STUDY NOTE.html 3KB
  425. 8. Data Manipulation/13. Data Manipulation - Date with R STUDY NOTE.html 3KB
  426. 7. Import and Export in R/10. Export Data in R - Text Study Note.html 2KB
  427. 7. Import and Export in R/12. Export Data in R - CSV & Excel Study Note.html 2KB
  428. 9. Data Visualization/17. Data Visualization - Density Plot.vtt 2KB
  429. 7. Import and Export in R/8. Import Excel, Web Data in R STUDY NOTE.html 2KB
  430. 9. Data Visualization/12. Data Visualization - Bar Plot STUDY NOTE.html 2KB
  431. 18. K-NN/3. CODES -K-NN R Code Implementation.html 2KB
  432. 9. Data Visualization/10. Data Visualization - Line Chart Study Note.html 2KB
  433. 18. K-NN/5. CODES - K-NN Case Study.html 2KB
  434. 9. Data Visualization/14. Data Visualization - Pie Chart STUDY NOTE.html 2KB
  435. 9. Data Visualization/8. Data Visualization - pch Study Note.html 2KB
  436. 17. Logistic Regression/4. CODES - R Code Implementation -Part2.html 2KB
  437. 14. Business Use Case Understaing/2. CODES-Data Pre-Processing 2.html 2KB
  438. 12. Hypothesis Testing in Practice/8. Hypothesys Testing in Practice - Part 5 STUDY NOTE.html 2KB
  439. 7. Import and Export in R/5. Import Text Data in R STUDY NOTE.html 2KB
  440. 9. Data Visualization/20. Data Visualization - Box Plot STUDY NOTE.html 2KB
  441. 15. Data Pre-Processing/12. CODES-Data Pre-Processing 7.html 2KB
  442. 8. Data Manipulation/11. Group By Function Study Note.html 2KB
  443. 6. R Data Structure/6. CODES - Matrix, Array and Data Frame.html 2KB
  444. 19. SVM/7. CODES - SVM - Telecom Case Study.html 2KB
  445. 12. Hypothesis Testing in Practice/15. ANOVA 1 STUDY NOTE.html 2KB
  446. 10. Introduction To Statistics/15. Introduction To Statistic - Part 8 STUDY NOTE.html 2KB
  447. 19. SVM/3. CODES - SVM - R Code Implementation.html 2KB
  448. 6. R Data Structure/3. All Code - Vector.html 2KB
  449. 31. Bonus Section - $997 Value Inside/1. All Bonus - Interview Preparation + PDF + Private Group.html 2KB
  450. 12. Hypothesis Testing in Practice/2. Hypothesys Testing in Practice - Part 1 STUDY NOTE.html 2KB
  451. 15. Data Pre-Processing/6. CODES-Data Pre-Processing 3.html 2KB
  452. 15. Data Pre-Processing/4. CODES-Data Pre-Processing 2.html 1KB
  453. 9. Data Visualization/18. Data Visualization - Density Plot STUDY NOTE.html 1KB
  454. 6. R Data Structure/7. Code - Data Frame Part #2.html 1KB
  455. 10. Introduction To Statistics/19. Introduction To Statistic - Part 10 STUDY NOTE.html 1KB
  456. 15. Data Pre-Processing/2. CODES-Data Pre-Processing 1.html 1KB
  457. 22. Random Forest/4.1 all codes random forest 2 codes.zip.zip 1KB
  458. 6. R Data Structure/12. Codes - Factor.html 1KB
  459. 9. Data Visualization/5. Data Visualization - Color.vtt 1KB
  460. 7. Import and Export in R/13.5 NewHotdog.txt.txt 1KB
  461. 7. Import and Export in R/13.6 NewHotdog.txt.txt 1KB
  462. 7. Import and Export in R/5.1 NewHotdog.txt.txt 1KB
  463. 26. DBScan Clustering/3.1 All Codes DBScan Clustering.zip.zip 1KB
  464. 12. Hypothesis Testing in Practice/13. Chi Square -Part 2 STUDY NOTE.html 1KB
  465. 6. R Data Structure/15. Code - List.html 956B
  466. 9. Data Visualization/6. Data Visualization - Color Study Note.html 931B
  467. 13. Machine Learning Toolbox/3. CODES-Data Pre-Processing 1.html 910B
  468. 19. SVM/5. CODES - SVM - Model Tuning.html 839B
  469. 7. Import and Export in R/13.5 hotdog.txt.txt 825B
  470. 7. Import and Export in R/13.7 hotdog.txt.txt 825B
  471. 11. HYPOTHESIS Testing -1/7. Hypothesys Testing - Part 4 STUDY NOTES.html 721B
  472. 7. Import and Export in R/3. Code - Import CSV Data in R.html 631B
  473. 12. Hypothesis Testing in Practice/11. Chi Square -Part 1 STUDY NOTE.html 629B
  474. 17. Logistic Regression/6. CODE-Model Evaluation.html 584B
  475. 20. Naive Bayes/4. Naive Bayes - Codes.html 252B
  476. 7. Import and Export in R/6. CODE - Import Text Data in R.html 246B
  477. 7. Import and Export in R/13.3 my_df.csv.csv 226B
  478. 7. Import and Export in R/13.4 my_df.csv.csv 226B
  479. 21. Decision Tree/4. Decision Tree - All Codes.html 207B
  480. 19. SVM/10. SVM - All Codes.html 196B
  481. 17. Logistic Regression/10. Logistic Regression All Codes.html 186B
  482. [FCS Forum].url 133B
  483. [FreeCourseSite.com].url 127B
  484. [CourseClub.NET].url 123B
  485. 27. Principal Component Analysis (PCA)/4. All Codes - PCA.html 122B
  486. 1. Meet Your Instructor/2. Course Curriculum Overview.html 91B
  487. 29. Capstone Project - Big Mart Sell/7. Capstone Project - Big Mart Sell All Codes.html 89B
  488. 22. Random Forest/4. Codes & Data Sets - Random Forest.html 86B
  489. 16. SUPERVISED LEARNING REGRESSION/13. All Codes REGRESSION.html 81B
  490. 28. Association Rule Mining/5. All Codes - Association Rule Mining.html 80B
  491. 23. Capstone Project - Titanic Survival/7. All Codes and Data Set - Titanic Survival Project.html 77B
  492. 25. Hierarchical Clustering/4. All Codes - Hierarchical Clustering.html 73B
  493. 26. DBScan Clustering/3. All codes - DBScan Clustering.html 73B
  494. 24. K-Mean Clustering/5. All Codes K-Mean Clustering.html 71B
  495. 15. Data Pre-Processing/13. Data Pre-processing Codes.html 55B
  496. 18. K-NN/6. All Codes KNN.html 41B