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[] Udemy - Data Visualization in Python Masterclass™ Beginners to Pro

  • 收录时间:2021-01-21 10:01:31
  • 文件大小:7GB
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  • 最近下载:2021-01-21 10:01:31
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文件列表

  1. 10. Analysis and Visualization of Boston Housing Data/8. Pair Plot.mp4 88MB
  2. 15. Analysis and Visualization of FIFA World Cup Matches/3. Data Cleaning.mp4 83MB
  3. 6. Matplotlib/15. Integral in Calculus Plot as Area Under the Curve.mp4 80MB
  4. 10. Analysis and Visualization of Boston Housing Data/11. Heatmap.mp4 79MB
  5. 1. Introduction/7. Anaconda Installation for Mac OS.mp4 72MB
  6. 14. Analysis and Visualization of IPL Cricket Matches/4. Wins and Lost Matches Analysis.mp4 70MB
  7. 15. Analysis and Visualization of FIFA World Cup Matches/7. Goals Per Team Per Word Cup.mp4 67MB
  8. 6. Matplotlib/11. Labeling a Pie Plot.mp4 67MB
  9. 12. Analysis and Visualization of Covid-19 Data/37. Covid-19 vs Other Epidemics.mp4 64MB
  10. 14. Analysis and Visualization of IPL Cricket Matches/8. Ball by Ball Analysis.mp4 61MB
  11. 14. Analysis and Visualization of IPL Cricket Matches/2. About Cricket Matches and Package Import.mp4 60MB
  12. 5. Data Visualization with Pandas/10. Hex and Pie Plot.mp4 59MB
  13. 12. Analysis and Visualization of Covid-19 Data/25. Scatter Plot for Deaths vs Confirmed Cases.mp4 59MB
  14. 6. Matplotlib/10. Nested Pie Plot.mp4 59MB
  15. 12. Analysis and Visualization of Covid-19 Data/35. First and Last Case Report Time Part 3.mp4 59MB
  16. 1. Introduction/3.1 DataVisualization.zip 57MB
  17. 5. Data Visualization with Pandas/3. Line Plot.mp4 57MB
  18. 3. NumPy Crash Course/7. Sequence, Repetitions, and Random Numbers.mp4 57MB
  19. 13. Analysis and Visualization of Reviews Text Data/12. Distribution of Unigram, Bigram and Trigram without STOP WORDS.mp4 57MB
  20. 12. Analysis and Visualization of Covid-19 Data/36. Confirmed Cases by Country and Daywise.mp4 57MB
  21. 12. Analysis and Visualization of Covid-19 Data/12. Covid-19 Cases on Folium Map.mp4 55MB
  22. 15. Analysis and Visualization of FIFA World Cup Matches/8. Matches with Highest Number of Attendance.mp4 53MB
  23. 12. Analysis and Visualization of Covid-19 Data/23. Top 15 Countries Case Analysis Part 5.mp4 53MB
  24. 12. Analysis and Visualization of Covid-19 Data/28. Growth Rate After 100 Cases.mp4 53MB
  25. 5. Data Visualization with Pandas/7. Histogram.mp4 53MB
  26. 13. Analysis and Visualization of Reviews Text Data/11. Distribution of Unigram, Bigram and Trigram Part 2.mp4 52MB
  27. 10. Analysis and Visualization of Boston Housing Data/4. Data Deep Dive.mp4 50MB
  28. 13. Analysis and Visualization of Reviews Text Data/4. Data Cleaning.mp4 50MB
  29. 13. Analysis and Visualization of Reviews Text Data/10. Distribution of Unigram, Bigram and Trigram Part 1.mp4 49MB
  30. 13. Analysis and Visualization of Reviews Text Data/14. Bivariate Analysis Part 1.mp4 48MB
  31. 15. Analysis and Visualization of FIFA World Cup Matches/6. Attendance, Number of Teams, Goals, and Matches per Cup.mp4 48MB
  32. 8. Seaborn/6. Line Plot Part 2.mp4 48MB
  33. 14. Analysis and Visualization of IPL Cricket Matches/6. MI vs CSK Head to Head Matches.mp4 48MB
  34. 6. Matplotlib/12. Bar Chart on Polar Axis.mp4 47MB
  35. 5. Data Visualization with Pandas/9. Area and Scatter Plot.mp4 47MB
  36. 12. Analysis and Visualization of Covid-19 Data/20. Top 15 Countries Case Analysis Part 2.mp4 45MB
  37. 12. Analysis and Visualization of Covid-19 Data/22. Top 15 Countries Case Analysis Part 4.mp4 45MB
  38. 12. Analysis and Visualization of Covid-19 Data/8. Cases Timelaps on Worldmap.mp4 44MB
  39. 6. Matplotlib/2. Line Plot.mp4 44MB
  40. 1. Introduction/5. Course Overview.mp4 44MB
  41. 6. Matplotlib/17. Animation Plot Part 2.mp4 44MB
  42. 9. Plotly and Cufflinks/9. Bubble Plot and Heatmap.mp4 43MB
  43. 10. Analysis and Visualization of Boston Housing Data/10. Scatter Plot.mp4 43MB
  44. 4. Pandas Crash Course/3. File Reading and Writing.mp4 43MB
  45. 7. Time Series Plots/3. Subplots.mp4 43MB
  46. 13. Analysis and Visualization of Reviews Text Data/3. Data Import.mp4 43MB
  47. 5. Data Visualization with Pandas/11. Scatter Matrix and Subplots.mp4 42MB
  48. 6. Matplotlib/8. Pie Plot.mp4 42MB
  49. 13. Analysis and Visualization of Reviews Text Data/13. Distribution of Top 20 Parts-of-Speech POS tags.mp4 41MB
  50. 6. Matplotlib/7. xlim, ylim, xticks, and yticks.mp4 41MB
  51. 3. NumPy Crash Course/2. Array.mp4 41MB
  52. 11. Analysis and Visualization of Titanic Dataset/17. Age Part 4.mp4 41MB
  53. 12. Analysis and Visualization of Covid-19 Data/9. Total Cases on Ships.mp4 40MB
  54. 12. Analysis and Visualization of Covid-19 Data/21. Top 15 Countries Case Analysis Part 3.mp4 40MB
  55. 8. Seaborn/7. Line Plot Part 3.mp4 40MB
  56. 6. Matplotlib/6. Subplot.mp4 40MB
  57. 13. Analysis and Visualization of Reviews Text Data/5. Feature Engineering.mp4 40MB
  58. 10. Analysis and Visualization of Boston Housing Data/18. Linear Regression without ML Part 2.mp4 39MB
  59. 12. Analysis and Visualization of Covid-19 Data/1. Introduction.mp4 39MB
  60. 12. Analysis and Visualization of Covid-19 Data/26. Stacked Bar Plot.mp4 39MB
  61. 10. Analysis and Visualization of Boston Housing Data/7. Plot Styling.mp4 39MB
  62. 13. Analysis and Visualization of Reviews Text Data/15. Bivariate Analysis Part 2.mp4 39MB
  63. 10. Analysis and Visualization of Boston Housing Data/5. pd.describe().mp4 39MB
  64. 10. Analysis and Visualization of Boston Housing Data/13. Heatmap and Pair Plot of Correlated Data.mp4 38MB
  65. 11. Analysis and Visualization of Titanic Dataset/5. Univariate Analysis.mp4 38MB
  66. 10. Analysis and Visualization of Boston Housing Data/12. Correlated Feature Selection.mp4 38MB
  67. 10. Analysis and Visualization of Boston Housing Data/14. Box and Rel Plot.mp4 38MB
  68. 15. Analysis and Visualization of FIFA World Cup Matches/9. Stadiums with Highest Average Attendance.mp4 37MB
  69. 12. Analysis and Visualization of Covid-19 Data/7. Scatter Plot for Confirmed Cases.mp4 37MB
  70. 12. Analysis and Visualization of Covid-19 Data/5. Import Cleaned Covid-19 Dataset.mp4 37MB
  71. 12. Analysis and Visualization of Covid-19 Data/15. Confirmed and Death Cases with Colormap.mp4 37MB
  72. 12. Analysis and Visualization of Covid-19 Data/17. New Cases and Countries per Day.mp4 36MB
  73. 5. Data Visualization with Pandas/2. Data Generation.mp4 36MB
  74. 12. Analysis and Visualization of Covid-19 Data/13. Confirmed Cases with Animation.mp4 36MB
  75. 13. Analysis and Visualization of Reviews Text Data/9. Distribution of Department, Division, and Class.mp4 36MB
  76. 1. Introduction/6. Anaconda Installation for Windows OS.mp4 35MB
  77. 12. Analysis and Visualization of Covid-19 Data/16. Deaths per 100 Cases.mp4 34MB
  78. 14. Analysis and Visualization of IPL Cricket Matches/5. MoM, City and Venue wise Analysis.mp4 34MB
  79. 15. Analysis and Visualization of FIFA World Cup Matches/10. Match Outcomes by Home and Away Teams.mp4 34MB
  80. 12. Analysis and Visualization of Covid-19 Data/11. Cases Over the Time with Area Plot Part 2.mp4 34MB
  81. 7. Time Series Plots/2. Line and Scatter Plots.mp4 34MB
  82. 12. Analysis and Visualization of Covid-19 Data/6. Import Preprocessed Data.mp4 34MB
  83. 7. Time Series Plots/1. Dataset Loading.mp4 33MB
  84. 3. NumPy Crash Course/3. NaN and INF.mp4 33MB
  85. 6. Matplotlib/13. Line Plot on a Polar Axis.mp4 33MB
  86. 12. Analysis and Visualization of Covid-19 Data/10. Cases Over the Time with Area Plot Part 1.mp4 32MB
  87. 11. Analysis and Visualization of Titanic Dataset/3. Load Dataset.mp4 32MB
  88. 10. Analysis and Visualization of Boston Housing Data/3. Data Preparation.mp4 32MB
  89. 14. Analysis and Visualization of IPL Cricket Matches/3. Data Understanding.mp4 32MB
  90. 10. Analysis and Visualization of Boston Housing Data/9. Distribution Plot.mp4 31MB
  91. 8. Seaborn/19. Controlling Plotted Figure Aesthetics.mp4 30MB
  92. 6. Matplotlib/4. Scatter, Bar, and Hist Plots.mp4 30MB
  93. 8. Seaborn/8. Subplot.mp4 30MB
  94. 10. Analysis and Visualization of Boston Housing Data/16. Joint Plot Part 2.mp4 30MB
  95. 16. Python Coding in Mobile/5. Seaborn Coding in Mobile.mp4 30MB
  96. 15. Analysis and Visualization of FIFA World Cup Matches/2. FIFA World Cup Data Import.mp4 29MB
  97. 12. Analysis and Visualization of Covid-19 Data/19. Top 15 Countries Case Analysis Part 1.mp4 29MB
  98. 12. Analysis and Visualization of Covid-19 Data/2. Data Understanding.mp4 29MB
  99. 13. Analysis and Visualization of Reviews Text Data/2. Getting Started.mp4 29MB
  100. 4. Pandas Crash Course/6. NaN and Null Values.mp4 29MB
  101. 6. Matplotlib/14. Scatter Plot on a Polar Axis.mp4 29MB
  102. 11. Analysis and Visualization of Titanic Dataset/1. Introduction.mp4 29MB
  103. 10. Analysis and Visualization of Boston Housing Data/17. Linear Regression without ML Part 1.mp4 28MB
  104. 8. Seaborn/13. Violin Plot.mp4 28MB
  105. 2. Python Crash Course/4. String.mp4 28MB
  106. 3. NumPy Crash Course/9. File Read and Write.mp4 28MB
  107. 1. Introduction/9. Jupyter Notebook Keyboard Shortcuts.mp4 28MB
  108. 9. Plotly and Cufflinks/2. Installation and Setup.mp4 27MB
  109. 11. Analysis and Visualization of Titanic Dataset/8. Pclass Part 2.mp4 27MB
  110. 5. Data Visualization with Pandas/5. Bar Plot.mp4 27MB
  111. 11. Analysis and Visualization of Titanic Dataset/4. Heatmap.mp4 27MB
  112. 8. Seaborn/9. sns.lineplot(), sns.scatterplot().mp4 26MB
  113. 9. Plotly and Cufflinks/5. Bar Plot.mp4 26MB
  114. 8. Seaborn/10. Cat Plot.mp4 26MB
  115. 8. Seaborn/4. Hue, Style and Size Part 2.mp4 25MB
  116. 13. Analysis and Visualization of Reviews Text Data/8. Distribution of Review Text Length and Word Length.mp4 25MB
  117. 9. Plotly and Cufflinks/7. 3D Plot.mp4 25MB
  118. 11. Analysis and Visualization of Titanic Dataset/26. Parch Part 1.mp4 25MB
  119. 12. Analysis and Visualization of Covid-19 Data/14. Confirmed and Death Cases with Bar Plot.mp4 25MB
  120. 5. Data Visualization with Pandas/4. More on Line Plot.mp4 25MB
  121. 10. Analysis and Visualization of Boston Housing Data/6. Bar Plot.mp4 25MB
  122. 1. Introduction/1. Welcome.mp4 24MB
  123. 9. Plotly and Cufflinks/3. Line Plot.mp4 24MB
  124. 15. Analysis and Visualization of FIFA World Cup Matches/4. Most Number of World Cup Winning Title.mp4 24MB
  125. 12. Analysis and Visualization of Covid-19 Data/33. First and Last Case Report Time Part 1.mp4 24MB
  126. 15. Analysis and Visualization of FIFA World Cup Matches/5. Number of Goal Per Country.mp4 23MB
  127. 11. Analysis and Visualization of Titanic Dataset/20. Fare Part 3.mp4 23MB
  128. 16. Python Coding in Mobile/4. Pandas Coding in Mobile.mp4 23MB
  129. 12. Analysis and Visualization of Covid-19 Data/4. Clone Latest Covid-19 Dataset.mp4 23MB
  130. 11. Analysis and Visualization of Titanic Dataset/14. Age Part 1.mp4 23MB
  131. 13. Analysis and Visualization of Reviews Text Data/6. Distribution of Sentiment Polarity.mp4 23MB
  132. 13. Analysis and Visualization of Reviews Text Data/1. Introduction.mp4 23MB
  133. 4. Pandas Crash Course/4. Info, Shape, Duplicated, and Drop.mp4 23MB
  134. 11. Analysis and Visualization of Titanic Dataset/29. Who.mp4 23MB
  135. 8. Seaborn/17. Pair Plot.mp4 23MB
  136. 11. Analysis and Visualization of Titanic Dataset/28. Embarked.mp4 23MB
  137. 1. Introduction/8. Anaconda Installation on Ubuntu OS.mp4 22MB
  138. 13. Analysis and Visualization of Reviews Text Data/16. Bivariate Analysis Part 3.mp4 22MB
  139. 5. Data Visualization with Pandas/8. Box Plot.mp4 22MB
  140. 12. Analysis and Visualization of Covid-19 Data/32. Tree Map Analysis.mp4 22MB
  141. 12. Analysis and Visualization of Covid-19 Data/3. Import Packages.mp4 22MB
  142. 2. Python Crash Course/14. For and While Loops in Python.mp4 22MB
  143. 11. Analysis and Visualization of Titanic Dataset/12. Sex Part 4.mp4 22MB
  144. 5. Data Visualization with Pandas/6. Stacked Plot.mp4 22MB
  145. 16. Python Coding in Mobile/1. Introduction.mp4 22MB
  146. 12. Analysis and Visualization of Covid-19 Data/24. Save Figures in PNG, JPEG, and PDF.mp4 21MB
  147. 12. Analysis and Visualization of Covid-19 Data/34. First and Last Case Report Time Part 2.mp4 21MB
  148. 4. Pandas Crash Course/7. Imputation.mp4 21MB
  149. 16. Python Coding in Mobile/3. Matplotlib Plot in Mobile.mp4 21MB
  150. 10. Analysis and Visualization of Boston Housing Data/15. Joint Plot Part 1.mp4 21MB
  151. 11. Analysis and Visualization of Titanic Dataset/21. Fare Part 4.mp4 21MB
  152. 11. Analysis and Visualization of Titanic Dataset/2. Data Understanding.mp4 21MB
  153. 10. Analysis and Visualization of Boston Housing Data/1. Introduction.mp4 21MB
  154. 8. Seaborn/2. Scatter Plot.mp4 21MB
  155. 11. Analysis and Visualization of Titanic Dataset/6. Survived.mp4 21MB
  156. 2. Python Crash Course/2. Data Types Numbers.mp4 20MB
  157. 14. Analysis and Visualization of IPL Cricket Matches/7. Seasonwise Analysis.mp4 20MB
  158. 8. Seaborn/12. Boxen Plot.mp4 19MB
  159. 11. Analysis and Visualization of Titanic Dataset/15. Age Part 2.mp4 19MB
  160. 2. Python Crash Course/13. Conditional Statements If Else and Elif.mp4 19MB
  161. 11. Analysis and Visualization of Titanic Dataset/9. Sex Part 1.mp4 19MB
  162. 3. NumPy Crash Course/8. Where.mp4 19MB
  163. 11. Analysis and Visualization of Titanic Dataset/16. Age Part 3.mp4 19MB
  164. 6. Matplotlib/5. Box Plot.mp4 18MB
  165. 13. Analysis and Visualization of Reviews Text Data/7. Distribution of Reviews Rating and Reviewers Age.mp4 18MB
  166. 11. Analysis and Visualization of Titanic Dataset/27. Parch Part 2.mp4 18MB
  167. 4. Pandas Crash Course/8. Lambda Function.mp4 18MB
  168. 6. Matplotlib/1. Introduction.mp4 18MB
  169. 6. Matplotlib/9. Pie Plot Text Color.mp4 17MB
  170. 11. Analysis and Visualization of Titanic Dataset/22. Sibsp Part 1.mp4 17MB
  171. 6. Matplotlib/16. Animation Plot Part 1.mp4 17MB
  172. 4. Pandas Crash Course/2. DataFrame and Series.mp4 17MB
  173. 2. Python Crash Course/3. Variable Assignment.mp4 16MB
  174. 8. Seaborn/5. Line Plot Part 1.mp4 16MB
  175. 11. Analysis and Visualization of Titanic Dataset/25. Sibsp Part 4.mp4 16MB
  176. 2. Python Crash Course/15. Methods and Lambda Functions.mp4 16MB
  177. 3. NumPy Crash Course/10. Concatenate and Sorting.mp4 16MB
  178. 14. Analysis and Visualization of IPL Cricket Matches/1. Introduction.mp4 16MB
  179. 8. Seaborn/14. Bar Plot.mp4 16MB
  180. 7. Time Series Plots/4. Heatmap.mp4 16MB
  181. 11. Analysis and Visualization of Titanic Dataset/18. Fare Part 1.mp4 16MB
  182. 12. Analysis and Visualization of Covid-19 Data/27. Stacked Line Plot.mp4 16MB
  183. 3. NumPy Crash Course/4. Statistical Operations.mp4 15MB
  184. 11. Analysis and Visualization of Titanic Dataset/11. Sex Part 3.mp4 14MB
  185. 8. Seaborn/1. Introduction.mp4 14MB
  186. 12. Analysis and Visualization of Covid-19 Data/30. Growth Rate After 10000 Cases.mp4 14MB
  187. 3. NumPy Crash Course/11. Working with Dates.mp4 13MB
  188. 2. Python Crash Course/9. Dictionary.mp4 13MB
  189. 15. Analysis and Visualization of FIFA World Cup Matches/1. Introduction.mp4 13MB
  190. 11. Analysis and Visualization of Titanic Dataset/10. Sex Part 2.mp4 13MB
  191. 7. Time Series Plots/5. Histogram and KDE Plots.mp4 13MB
  192. 2. Python Crash Course/6. List.mp4 13MB
  193. 11. Analysis and Visualization of Titanic Dataset/24. Sibsp Part 3.mp4 13MB
  194. 12. Analysis and Visualization of Covid-19 Data/29. Growth Rate After 1000 Cases.mp4 13MB
  195. 2. Python Crash Course/12. Logical Operator.mp4 13MB
  196. 16. Python Coding in Mobile/2. Python in Mobile.mp4 12MB
  197. 8. Seaborn/18. Regression Plot.mp4 12MB
  198. 11. Analysis and Visualization of Titanic Dataset/23. Sibsp Part 2.mp4 12MB
  199. 9. Plotly and Cufflinks/8. Spread Plot and Hist Plot.mp4 12MB
  200. 2. Python Crash Course/7. Set.mp4 11MB
  201. 12. Analysis and Visualization of Covid-19 Data/31. Growth Rate After 100k Cases.mp4 11MB
  202. 3. NumPy Crash Course/5. Shape, Reshape, Ravel, Flatten.mp4 11MB
  203. 4. Pandas Crash Course/5. Columns.mp4 11MB
  204. 5. Data Visualization with Pandas/1. Introduction.mp4 11MB
  205. 11. Analysis and Visualization of Titanic Dataset/7. Pclass Part 1.mp4 11MB
  206. 8. Seaborn/16. Joint Plot.mp4 11MB
  207. 11. Analysis and Visualization of Titanic Dataset/19. Fare Part 2.mp4 10MB
  208. 2. Python Crash Course/11. Boolean and Comparison Operator.mp4 10MB
  209. 8. Seaborn/3. Hue, Style and Size Part 1.mp4 10MB
  210. 8. Seaborn/11. Box Plot.mp4 10MB
  211. 9. Plotly and Cufflinks/4. Scatter Plot.mp4 10MB
  212. 11. Analysis and Visualization of Titanic Dataset/13. Sex Part 5.mp4 9MB
  213. 9. Plotly and Cufflinks/6. Box Plot and Area Plot.mp4 9MB
  214. 2. Python Crash Course/1. Introduction.mp4 9MB
  215. 3. NumPy Crash Course/1. Introduction.mp4 9MB
  216. 2. Python Crash Course/8. Tuple.mp4 9MB
  217. 8. Seaborn/15. Point Plot.mp4 9MB
  218. 9. Plotly and Cufflinks/1. Introduction.mp4 9MB
  219. 4. Pandas Crash Course/1. Introduction.mp4 7MB
  220. 6. Matplotlib/3. Label.mp4 5MB
  221. 6. Matplotlib/15. Integral in Calculus Plot as Area Under the Curve.srt 22KB
  222. 6. Matplotlib/11. Labeling a Pie Plot.srt 21KB
  223. 15. Analysis and Visualization of FIFA World Cup Matches/7. Goals Per Team Per Word Cup.srt 19KB
  224. 6. Matplotlib/10. Nested Pie Plot.srt 18KB
  225. 15. Analysis and Visualization of FIFA World Cup Matches/3. Data Cleaning.srt 16KB
  226. 13. Analysis and Visualization of Reviews Text Data/10. Distribution of Unigram, Bigram and Trigram Part 1.srt 15KB
  227. 15. Analysis and Visualization of FIFA World Cup Matches/8. Matches with Highest Number of Attendance.srt 15KB
  228. 14. Analysis and Visualization of IPL Cricket Matches/8. Ball by Ball Analysis.srt 14KB
  229. 6. Matplotlib/12. Bar Chart on Polar Axis.srt 14KB
  230. 6. Matplotlib/8. Pie Plot.srt 14KB
  231. 3. NumPy Crash Course/7. Sequence, Repetitions, and Random Numbers.srt 14KB
  232. 14. Analysis and Visualization of IPL Cricket Matches/4. Wins and Lost Matches Analysis.srt 13KB
  233. 14. Analysis and Visualization of IPL Cricket Matches/6. MI vs CSK Head to Head Matches.srt 13KB
  234. 12. Analysis and Visualization of Covid-19 Data/35. First and Last Case Report Time Part 3.srt 13KB
  235. 10. Analysis and Visualization of Boston Housing Data/11. Heatmap.srt 13KB
  236. 7. Time Series Plots/3. Subplots.srt 12KB
  237. 15. Analysis and Visualization of FIFA World Cup Matches/6. Attendance, Number of Teams, Goals, and Matches per Cup.srt 12KB
  238. 5. Data Visualization with Pandas/10. Hex and Pie Plot.srt 12KB
  239. 3. NumPy Crash Course/2. Array.srt 12KB
  240. 10. Analysis and Visualization of Boston Housing Data/8. Pair Plot.srt 12KB
  241. 6. Matplotlib/6. Subplot.srt 12KB
  242. 1. Introduction/9. Jupyter Notebook Keyboard Shortcuts.srt 11KB
  243. 13. Analysis and Visualization of Reviews Text Data/5. Feature Engineering.srt 11KB
  244. 6. Matplotlib/4. Scatter, Bar, and Hist Plots.srt 11KB
  245. 12. Analysis and Visualization of Covid-19 Data/37. Covid-19 vs Other Epidemics.srt 11KB
  246. 15. Analysis and Visualization of FIFA World Cup Matches/10. Match Outcomes by Home and Away Teams.srt 11KB
  247. 7. Time Series Plots/1. Dataset Loading.srt 11KB
  248. 13. Analysis and Visualization of Reviews Text Data/14. Bivariate Analysis Part 1.srt 11KB
  249. 2. Python Crash Course/4. String.srt 11KB
  250. 6. Matplotlib/17. Animation Plot Part 2.srt 11KB
  251. 5. Data Visualization with Pandas/3. Line Plot.srt 10KB
  252. 12. Analysis and Visualization of Covid-19 Data/28. Growth Rate After 100 Cases.srt 10KB
  253. 8. Seaborn/6. Line Plot Part 2.srt 10KB
  254. 10. Analysis and Visualization of Boston Housing Data/18. Linear Regression without ML Part 2.srt 10KB
  255. 10. Analysis and Visualization of Boston Housing Data/10. Scatter Plot.srt 10KB
  256. 13. Analysis and Visualization of Reviews Text Data/4. Data Cleaning.srt 10KB
  257. 10. Analysis and Visualization of Boston Housing Data/12. Correlated Feature Selection.srt 10KB
  258. 11. Analysis and Visualization of Titanic Dataset/8. Pclass Part 2.srt 10KB
  259. 6. Matplotlib/2. Line Plot.srt 10KB
  260. 13. Analysis and Visualization of Reviews Text Data/15. Bivariate Analysis Part 2.srt 10KB
  261. 12. Analysis and Visualization of Covid-19 Data/12. Covid-19 Cases on Folium Map.srt 10KB
  262. 13. Analysis and Visualization of Reviews Text Data/11. Distribution of Unigram, Bigram and Trigram Part 2.srt 10KB
  263. 5. Data Visualization with Pandas/7. Histogram.srt 10KB
  264. 10. Analysis and Visualization of Boston Housing Data/14. Box and Rel Plot.srt 10KB
  265. 11. Analysis and Visualization of Titanic Dataset/5. Univariate Analysis.srt 10KB
  266. 15. Analysis and Visualization of FIFA World Cup Matches/9. Stadiums with Highest Average Attendance.srt 9KB
  267. 13. Analysis and Visualization of Reviews Text Data/13. Distribution of Top 20 Parts-of-Speech POS tags.srt 9KB
  268. 6. Matplotlib/7. xlim, ylim, xticks, and yticks.srt 9KB
  269. 13. Analysis and Visualization of Reviews Text Data/12. Distribution of Unigram, Bigram and Trigram without STOP WORDS.srt 9KB
  270. 12. Analysis and Visualization of Covid-19 Data/7. Scatter Plot for Confirmed Cases.srt 9KB
  271. 12. Analysis and Visualization of Covid-19 Data/26. Stacked Bar Plot.srt 9KB
  272. 12. Analysis and Visualization of Covid-19 Data/13. Confirmed Cases with Animation.srt 9KB
  273. 2. Python Crash Course/2. Data Types Numbers.srt 9KB
  274. 10. Analysis and Visualization of Boston Housing Data/13. Heatmap and Pair Plot of Correlated Data.srt 9KB
  275. 8. Seaborn/7. Line Plot Part 3.srt 9KB
  276. 12. Analysis and Visualization of Covid-19 Data/8. Cases Timelaps on Worldmap.srt 9KB
  277. 13. Analysis and Visualization of Reviews Text Data/9. Distribution of Department, Division, and Class.srt 9KB
  278. 12. Analysis and Visualization of Covid-19 Data/36. Confirmed Cases by Country and Daywise.srt 9KB
  279. 10. Analysis and Visualization of Boston Housing Data/3. Data Preparation.srt 9KB
  280. 5. Data Visualization with Pandas/9. Area and Scatter Plot.srt 9KB
  281. 16. Python Coding in Mobile/5. Seaborn Coding in Mobile.srt 9KB
  282. 13. Analysis and Visualization of Reviews Text Data/3. Data Import.srt 9KB
  283. 1. Introduction/7. Anaconda Installation for Mac OS.srt 8KB
  284. 5. Data Visualization with Pandas/8. Box Plot.srt 8KB
  285. 6. Matplotlib/14. Scatter Plot on a Polar Axis.srt 8KB
  286. 12. Analysis and Visualization of Covid-19 Data/25. Scatter Plot for Deaths vs Confirmed Cases.srt 8KB
  287. 8. Seaborn/8. Subplot.srt 8KB
  288. 8. Seaborn/10. Cat Plot.srt 8KB
  289. 11. Analysis and Visualization of Titanic Dataset/17. Age Part 4.srt 8KB
  290. 3. NumPy Crash Course/3. NaN and INF.srt 8KB
  291. 7. Time Series Plots/2. Line and Scatter Plots.srt 8KB
  292. 14. Analysis and Visualization of IPL Cricket Matches/5. MoM, City and Venue wise Analysis.srt 8KB
  293. 5. Data Visualization with Pandas/2. Data Generation.srt 8KB
  294. 2. Python Crash Course/13. Conditional Statements If Else and Elif.srt 8KB
  295. 12. Analysis and Visualization of Covid-19 Data/10. Cases Over the Time with Area Plot Part 1.srt 8KB
  296. 10. Analysis and Visualization of Boston Housing Data/16. Joint Plot Part 2.srt 8KB
  297. 11. Analysis and Visualization of Titanic Dataset/6. Survived.srt 8KB
  298. 4. Pandas Crash Course/3. File Reading and Writing.srt 8KB
  299. 10. Analysis and Visualization of Boston Housing Data/7. Plot Styling.srt 8KB
  300. 14. Analysis and Visualization of IPL Cricket Matches/2. About Cricket Matches and Package Import.srt 8KB
  301. 11. Analysis and Visualization of Titanic Dataset/3. Load Dataset.srt 8KB
  302. 1. Introduction/6. Anaconda Installation for Windows OS.srt 8KB
  303. 2. Python Crash Course/15. Methods and Lambda Functions.srt 8KB
  304. 16. Python Coding in Mobile/4. Pandas Coding in Mobile.srt 8KB
  305. 16. Python Coding in Mobile/3. Matplotlib Plot in Mobile.srt 8KB
  306. 16. Python Coding in Mobile/1. Introduction.srt 7KB
  307. 10. Analysis and Visualization of Boston Housing Data/17. Linear Regression without ML Part 1.srt 7KB
  308. 10. Analysis and Visualization of Boston Housing Data/4. Data Deep Dive.srt 7KB
  309. 9. Plotly and Cufflinks/9. Bubble Plot and Heatmap.srt 7KB
  310. 12. Analysis and Visualization of Covid-19 Data/9. Total Cases on Ships.srt 7KB
  311. 10. Analysis and Visualization of Boston Housing Data/9. Distribution Plot.srt 7KB
  312. 2. Python Crash Course/14. For and While Loops in Python.srt 7KB
  313. 10. Analysis and Visualization of Boston Housing Data/5. pd.describe().srt 7KB
  314. 5. Data Visualization with Pandas/11. Scatter Matrix and Subplots.srt 7KB
  315. 8. Seaborn/13. Violin Plot.srt 7KB
  316. 13. Analysis and Visualization of Reviews Text Data/8. Distribution of Review Text Length and Word Length.srt 7KB
  317. 15. Analysis and Visualization of FIFA World Cup Matches/4. Most Number of World Cup Winning Title.srt 7KB
  318. 8. Seaborn/4. Hue, Style and Size Part 2.srt 7KB
  319. 6. Matplotlib/13. Line Plot on a Polar Axis.srt 7KB
  320. 12. Analysis and Visualization of Covid-19 Data/11. Cases Over the Time with Area Plot Part 2.srt 7KB
  321. 9. Plotly and Cufflinks/2. Installation and Setup.srt 7KB
  322. 8. Seaborn/2. Scatter Plot.srt 7KB
  323. 11. Analysis and Visualization of Titanic Dataset/12. Sex Part 4.srt 7KB
  324. 11. Analysis and Visualization of Titanic Dataset/14. Age Part 1.srt 7KB
  325. 12. Analysis and Visualization of Covid-19 Data/15. Confirmed and Death Cases with Colormap.srt 7KB
  326. 11. Analysis and Visualization of Titanic Dataset/29. Who.srt 7KB
  327. 13. Analysis and Visualization of Reviews Text Data/7. Distribution of Reviews Rating and Reviewers Age.srt 7KB
  328. 10. Analysis and Visualization of Boston Housing Data/6. Bar Plot.srt 7KB
  329. 15. Analysis and Visualization of FIFA World Cup Matches/5. Number of Goal Per Country.srt 7KB
  330. 2. Python Crash Course/3. Variable Assignment.srt 7KB
  331. 9. Plotly and Cufflinks/5. Bar Plot.srt 7KB
  332. 8. Seaborn/9. sns.lineplot(), sns.scatterplot().srt 7KB
  333. 11. Analysis and Visualization of Titanic Dataset/4. Heatmap.srt 7KB
  334. 3. NumPy Crash Course/9. File Read and Write.srt 7KB
  335. 12. Analysis and Visualization of Covid-19 Data/16. Deaths per 100 Cases.srt 7KB
  336. 15. Analysis and Visualization of FIFA World Cup Matches/2. FIFA World Cup Data Import.srt 7KB
  337. 11. Analysis and Visualization of Titanic Dataset/26. Parch Part 1.srt 7KB
  338. 13. Analysis and Visualization of Reviews Text Data/6. Distribution of Sentiment Polarity.srt 7KB
  339. 12. Analysis and Visualization of Covid-19 Data/19. Top 15 Countries Case Analysis Part 1.srt 7KB
  340. 12. Analysis and Visualization of Covid-19 Data/33. First and Last Case Report Time Part 1.srt 7KB
  341. 1. Introduction/5. Course Overview.srt 6KB
  342. 12. Analysis and Visualization of Covid-19 Data/6. Import Preprocessed Data.srt 6KB
  343. 10. Analysis and Visualization of Boston Housing Data/15. Joint Plot Part 1.srt 6KB
  344. 12. Analysis and Visualization of Covid-19 Data/17. New Cases and Countries per Day.srt 6KB
  345. 11. Analysis and Visualization of Titanic Dataset/20. Fare Part 3.srt 6KB
  346. 8. Seaborn/19. Controlling Plotted Figure Aesthetics.srt 6KB
  347. 12. Analysis and Visualization of Covid-19 Data/20. Top 15 Countries Case Analysis Part 2.srt 6KB
  348. 6. Matplotlib/9. Pie Plot Text Color.srt 6KB
  349. 6. Matplotlib/5. Box Plot.srt 6KB
  350. 12. Analysis and Visualization of Covid-19 Data/23. Top 15 Countries Case Analysis Part 5.srt 6KB
  351. 14. Analysis and Visualization of IPL Cricket Matches/3. Data Understanding.srt 6KB
  352. 11. Analysis and Visualization of Titanic Dataset/9. Sex Part 1.srt 6KB
  353. 11. Analysis and Visualization of Titanic Dataset/21. Fare Part 4.srt 6KB
  354. 8. Seaborn/17. Pair Plot.srt 6KB
  355. 13. Analysis and Visualization of Reviews Text Data/2. Getting Started.srt 6KB
  356. 11. Analysis and Visualization of Titanic Dataset/15. Age Part 2.srt 6KB
  357. 5. Data Visualization with Pandas/5. Bar Plot.srt 6KB
  358. 9. Plotly and Cufflinks/3. Line Plot.srt 6KB
  359. 11. Analysis and Visualization of Titanic Dataset/22. Sibsp Part 1.srt 6KB
  360. 13. Analysis and Visualization of Reviews Text Data/16. Bivariate Analysis Part 3.srt 6KB
  361. 11. Analysis and Visualization of Titanic Dataset/28. Embarked.srt 6KB
  362. 12. Analysis and Visualization of Covid-19 Data/3. Import Packages.srt 6KB
  363. 12. Analysis and Visualization of Covid-19 Data/4. Clone Latest Covid-19 Dataset.srt 6KB
  364. 11. Analysis and Visualization of Titanic Dataset/27. Parch Part 2.srt 6KB
  365. 7. Time Series Plots/5. Histogram and KDE Plots.srt 6KB
  366. 12. Analysis and Visualization of Covid-19 Data/24. Save Figures in PNG, JPEG, and PDF.srt 6KB
  367. 12. Analysis and Visualization of Covid-19 Data/5. Import Cleaned Covid-19 Dataset.srt 6KB
  368. 2. Python Crash Course/6. List.srt 5KB
  369. 6. Matplotlib/16. Animation Plot Part 1.srt 5KB
  370. 11. Analysis and Visualization of Titanic Dataset/10. Sex Part 2.srt 5KB
  371. 12. Analysis and Visualization of Covid-19 Data/32. Tree Map Analysis.srt 5KB
  372. 5. Data Visualization with Pandas/6. Stacked Plot.srt 5KB
  373. 11. Analysis and Visualization of Titanic Dataset/16. Age Part 3.srt 5KB
  374. 12. Analysis and Visualization of Covid-19 Data/14. Confirmed and Death Cases with Bar Plot.srt 5KB
  375. 4. Pandas Crash Course/4. Info, Shape, Duplicated, and Drop.srt 5KB
  376. 14. Analysis and Visualization of IPL Cricket Matches/7. Seasonwise Analysis.srt 5KB
  377. 4. Pandas Crash Course/8. Lambda Function.srt 5KB
  378. 2. Python Crash Course/9. Dictionary.srt 5KB
  379. 1. Introduction/8. Anaconda Installation on Ubuntu OS.srt 5KB
  380. 5. Data Visualization with Pandas/4. More on Line Plot.srt 5KB
  381. 12. Analysis and Visualization of Covid-19 Data/22. Top 15 Countries Case Analysis Part 4.srt 5KB
  382. 11. Analysis and Visualization of Titanic Dataset/2. Data Understanding.srt 5KB
  383. 12. Analysis and Visualization of Covid-19 Data/2. Data Understanding.srt 5KB
  384. 11. Analysis and Visualization of Titanic Dataset/25. Sibsp Part 4.srt 5KB
  385. 12. Analysis and Visualization of Covid-19 Data/34. First and Last Case Report Time Part 2.srt 5KB
  386. 4. Pandas Crash Course/6. NaN and Null Values.srt 5KB
  387. 2. Python Crash Course/11. Boolean and Comparison Operator.srt 5KB
  388. 2. Python Crash Course/12. Logical Operator.srt 5KB
  389. 4. Pandas Crash Course/7. Imputation.srt 5KB
  390. 11. Analysis and Visualization of Titanic Dataset/11. Sex Part 3.srt 5KB
  391. 8. Seaborn/12. Boxen Plot.srt 5KB
  392. 11. Analysis and Visualization of Titanic Dataset/18. Fare Part 1.srt 5KB
  393. 11. Analysis and Visualization of Titanic Dataset/23. Sibsp Part 2.srt 5KB
  394. 8. Seaborn/5. Line Plot Part 1.srt 5KB
  395. 4. Pandas Crash Course/2. DataFrame and Series.srt 5KB
  396. 8. Seaborn/14. Bar Plot.srt 4KB
  397. 12. Analysis and Visualization of Covid-19 Data/21. Top 15 Countries Case Analysis Part 3.srt 4KB
  398. 3. NumPy Crash Course/8. Where.srt 4KB
  399. 11. Analysis and Visualization of Titanic Dataset/7. Pclass Part 1.srt 4KB
  400. 11. Analysis and Visualization of Titanic Dataset/19. Fare Part 2.srt 4KB
  401. 1. Introduction/1. Welcome.srt 4KB
  402. 9. Plotly and Cufflinks/7. 3D Plot.srt 4KB
  403. 11. Analysis and Visualization of Titanic Dataset/24. Sibsp Part 3.srt 4KB
  404. 2. Python Crash Course/7. Set.srt 4KB
  405. 16. Python Coding in Mobile/2. Python in Mobile.srt 4KB
  406. 12. Analysis and Visualization of Covid-19 Data/1. Introduction.srt 4KB
  407. 2. Python Crash Course/8. Tuple.srt 4KB
  408. 7. Time Series Plots/4. Heatmap.srt 4KB
  409. 3. NumPy Crash Course/11. Working with Dates.srt 4KB
  410. 3. NumPy Crash Course/10. Concatenate and Sorting.srt 4KB
  411. 3. NumPy Crash Course/4. Statistical Operations.srt 4KB
  412. 8. Seaborn/18. Regression Plot.srt 3KB
  413. 8. Seaborn/15. Point Plot.srt 3KB
  414. 9. Plotly and Cufflinks/8. Spread Plot and Hist Plot.srt 3KB
  415. 8. Seaborn/3. Hue, Style and Size Part 1.srt 3KB
  416. 8. Seaborn/11. Box Plot.srt 3KB
  417. 8. Seaborn/16. Joint Plot.srt 3KB
  418. 11. Analysis and Visualization of Titanic Dataset/1. Introduction.srt 3KB
  419. 3. NumPy Crash Course/5. Shape, Reshape, Ravel, Flatten.srt 3KB
  420. 12. Analysis and Visualization of Covid-19 Data/27. Stacked Line Plot.srt 3KB
  421. 4. Pandas Crash Course/5. Columns.srt 3KB
  422. 9. Plotly and Cufflinks/6. Box Plot and Area Plot.srt 3KB
  423. 12. Analysis and Visualization of Covid-19 Data/31. Growth Rate After 100k Cases.srt 3KB
  424. 11. Analysis and Visualization of Titanic Dataset/13. Sex Part 5.srt 3KB
  425. 12. Analysis and Visualization of Covid-19 Data/30. Growth Rate After 10000 Cases.srt 3KB
  426. 12. Analysis and Visualization of Covid-19 Data/29. Growth Rate After 1000 Cases.srt 3KB
  427. 9. Plotly and Cufflinks/4. Scatter Plot.srt 3KB
  428. 8. Seaborn/1. Introduction.srt 2KB
  429. 13. Analysis and Visualization of Reviews Text Data/1. Introduction.srt 2KB
  430. 6. Matplotlib/1. Introduction.srt 2KB
  431. 2. Python Crash Course/1. Introduction.srt 2KB
  432. 10. Analysis and Visualization of Boston Housing Data/1. Introduction.srt 2KB
  433. 15. Analysis and Visualization of FIFA World Cup Matches/1. Introduction.srt 2KB
  434. 14. Analysis and Visualization of IPL Cricket Matches/1. Introduction.srt 2KB
  435. 6. Matplotlib/3. Label.srt 1KB
  436. 9. Plotly and Cufflinks/1. Introduction.srt 1KB
  437. 5. Data Visualization with Pandas/1. Introduction.srt 1KB
  438. 3. NumPy Crash Course/1. Introduction.srt 1KB
  439. 4. Pandas Crash Course/1. Introduction.srt 1016B
  440. 1. Introduction/2. DO NOT SKIP IT Free Resources!!!.html 989B
  441. 1. Introduction/3. DO NOT SKIP IT Introduction.html 723B
  442. 1. Introduction/4. Q&A Support.html 379B
  443. 12. Analysis and Visualization of Covid-19 Data/18. Correction in Top 15 Countries Case Analysis Part 1.html 376B
  444. 1. Introduction/10. Jupyter Notebook Shortcuts Article.html 332B
  445. 10. Analysis and Visualization of Boston Housing Data/2. Data Preparation [Update].html 229B
  446. 1. Introduction/11. Test Yourself.html 148B
  447. 2. Python Crash Course/10. Test Yourself.html 148B
  448. 2. Python Crash Course/16. Test Yourself.html 148B
  449. 2. Python Crash Course/17. Do you know.html 148B
  450. 2. Python Crash Course/5. Test Yourself.html 148B
  451. 3. NumPy Crash Course/12. Do you Know.html 148B
  452. 3. NumPy Crash Course/6. Test Yourself.html 148B
  453. 4. Pandas Crash Course/9. Test Yourself.html 148B
  454. 0. Websites you may like/[FCS Forum].url 133B
  455. 0. Websites you may like/[FreeCourseSite.com].url 127B
  456. 0. Websites you may like/[CourseClub.ME].url 122B