Complete Python Data Science Course for Absolute Beginners

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Complete Python Data Science Course for Absolute Beginners
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Files
  1. 061 Data Wrangling Demystified.mp4576.3 MB
  2. TutsNode.com.txt63 bytes
  3. 121 Source-Files.zip1.6 MB
  4. 099 Source-Files.zip59.3 KB
  5. 197 Source-Files.zip5.4 KB
  6. 028 Source Code.html27 bytes
  7. 040 Source Code.html27 bytes
  8. 058 Source Files.html27 bytes
  9. 060 Project Files - Data Mining with Mammoth Interactive.html27 bytes
  10. 062 Project Files - Data Wrangling with Mammoth Interactive.html27 bytes
  11. 023 bytes
  12. 064 02. Classification and Regression.mp4301.5 MB
  13. 040 Pyplot-Code.zip271.7 KB
  14. 083 Project-Files-NLP-with-Mammoth-Interactive.zip211.0 KB
  15. 050 09. Creating Pandas Dataframes_en.srt36.3 KB
  16. 085 07-Conclusion-Files-Mammoth-Interactive.zip758 bytes
  17. 066 04. Dimensionality Reduction.mp4271.8 MB
  18. 072 Project-Files-Frameworks-with-Mammoth-Interactive.zip122.6 KB
  19. 102 02 Tokenize Text Data_en.srt31.6 KB
  20. [TGx]Downloaded from torrentgalaxy.to .txt585 bytes
  21. 067 Project Files - Data Mining fundamentals with Mammoth Interactive.html27 bytes
  22. 072 Project Files - Frameworks with Mammoth Interactive.html27 bytes
  23. 077 Mining and Storing with Mammoth Interactive.html27 bytes
  24. 083 Project Files - NLP with Mammoth Interactive.html27 bytes
  25. 085 07 Conclusion Files - Mammoth Interactive.html27 bytes
  26. 091 Source Files.html27 bytes
  27. 17 bytes
  28. 053 12. Dataframe Modification.mp4240.7 MB
  29. 062 Project-Files-Data-Wrangling-with-Mammoth-Interactive.zip804.9 KB
  30. 112 Source-Files.zip193.0 KB
  31. 028 Python-Language-Basics.zip102.2 KB
  32. 061 Data Wrangling Demystified_en.srt84.9 KB
  33. 058 Source-Files.zip74.2 KB
  34. 048 07. Modifying Series_en.srt29.4 KB
  35. 099 Source Files.html27 bytes
  36. 106 Source Files.html27 bytes
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  48. 168 Source Files.html27 bytes
  49. 171 Source Files.html27 bytes
  50. 063 01. Cluster Analysis.mp4232.1 MB
  51. 129 Source-files.zip1.8 MB
  52. 064 02. Classification and Regression_en.srt45.5 KB
  53. 180 Source Files.html27 bytes
  54. 184 Source Files.html27 bytes
  55. 187 Source Files.html27 bytes
  56. 191 Source Files.html27 bytes
  57. 197 Source Files.html27 bytes
  58. 2476 bytes
  59. 068 01. Apache Spark - An Overview Of The Framework.mp4227.9 MB
  60. 053 12. Dataframe Modification_en.srt58.4 KB
  61. 021 Parameters And Return Values Examples_en.srt22.7 KB
  62. 391 bytes
  63. 069 02. Spark Key Functions.mp4193.6 MB
  64. 051 10. Getting Elements From Dataframes_en.srt40.8 KB
  65. 068 01. Apache Spark - An Overview Of The Framework_en.srt39.5 KB
  66. 006 Operators Examples_en.srt34.5 KB
  67. 066 04. Dimensionality Reduction_en.srt34.2 KB
  68. 054 13. Dataframe Operations_en.srt33.7 KB
  69. 044 03. Creating Pandas Series_en.srt33.6 KB
  70. 193 01 Build A Dataset_en.srt32.9 KB
  71. 003 Variables_en.srt31.5 KB
  72. 046 05. Getting Elements From Series_en.srt31.2 KB
  73. 052 11. Getting Properties From Dataframes_en.srt29.2 KB
  74. 069 02. Spark Key Functions_en.srt28.4 KB
  75. 025 Inheritance Examples_en.srt28.3 KB
  76. 055 14 Dataframe Comparisons And Iteration_en.srt25.5 KB
  77. 056 15. Reading CSVs_en.srt19.6 KB
  78. 4580 bytes
  79. 102 02 Tokenize Text Data.mp4168.6 MB
  80. 077 Mining-and-Storing-with-Mammoth-Interactive.zip755.8 KB
  81. 123 Source-Files.zip570.4 KB
  82. 156 09-Source-Files.zip24.9 KB
  83. 063 01. Cluster Analysis_en.srt24.2 KB
  84. 011 Dictionaries Examples_en.srt23.8 KB
  85. 023 Classes Example_en.srt22.4 KB
  86. 158 01 Fetch Stock Data_en.srt12.7 KB
  87. 521 bytes
  88. 073 01. Text Mining.mp4160.7 MB
  89. 060 Project-Files-Data-Mining-with-Mammoth-Interactive.zip533.9 KB
  90. 067 Project-Files-Data-Mining-fundamentals-with-Mammoth-Interactive.zip533.9 KB
  91. 047 06. Getting Properties Of Series_en.srt21.0 KB
  92. 073 01. Text Mining_en.srt20.6 KB
  93. 195 03 Compute Support And Confidence For All Channels_en.srt19.3 KB
  94. 008 Lists_en.srt19.3 KB
  95. 049 08. Operations On Series_en.srt19.2 KB
  96. 017 While Loops Examples_en.srt18.6 KB
  97. 015 If Statement Variants Examples_en.srt18.4 KB
  98. 045 04. Date Ranges_en.srt18.3 KB
  99. 076 04. SQL_en.srt18.0 KB
  100. 018 For Loops Examples_en.srt18.0 KB
  101. 101 01 Convert Csv File To A Python List_en.srt17.8 KB
  102. 097 09 Perform Dataframe Queries_en.srt17.8 KB
  103. 007 Collections_en.srt13.4 KB
  104. 6252 bytes
  105. 193 01 Build A Dataset.mp4141.1 MB
  106. 033 04. Customizing Graphs_en.srt17.7 KB
  107. 172 02 Build An HTML Webpage To Scrape_en.srt17.5 KB
  108. 014 If Statement Examples_en.srt17.5 KB
  109. 004 Type Conversion Examples_en.srt17.2 KB
  110. 113 01 Find Relationships Between Numerical Features_en.srt17.1 KB
  111. 026 Static Members Example_en.srt17.0 KB
  112. 022 Classes and Objects_en.srt16.9 KB
  113. 024 Objects Examples_en.srt16.7 KB
  114. 065 03. Association and Correlation_en.srt16.0 KB
  115. 037 08. Histogram_en.srt15.8 KB
  116. 185 01 Build A Dash App_en.srt15.5 KB
  117. 020 Functions Examples_en.srt15.3 KB
  118. 161 04 Compare Returns Of Different Stocks_en.srt14.9 KB
  119. 139 03 Visualize Data With Different Plots_en.srt14.8 KB
  120. 103 03 Find Most Popular Lemmatized Words_en.srt14.8 KB
  121. 190 03 Build A Chart With Altair_en.srt14.6 KB
  122. 196 04 Determine Which Videos Are Best To Recommend_en.srt14.5 KB
  123. 010 Tuples Examples_en.srt14.2 KB
  124. 012 Ranges Examples_en.srt14.2 KB
  125. 080 03. NLP Example with Spam_en.srt14.2 KB
  126. 194 02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y_en.srt14.0 KB
  127. 036 07. Pie Chart_en.srt14.0 KB
  128. 111 04 Analyze Categorical Features_en.srt13.8 KB
  129. 186 02 Build A Graph In The Dash App_en.srt13.8 KB
  130. 148 01 Load Crypto Prices Dataset_en.srt13.7 KB
  131. 059 Introduction to Data Mining_en.srt13.3 KB
  132. 074 02. Network Mining_en.srt13.3 KB
  133. 034 05. Plotting Multiple Datasets_en.srt13.1 KB
  134. 009 Multidimensional List Examples_en.srt13.1 KB
  135. 137 01 Load And Create Data_en.srt13.0 KB
  136. 108 01 Load A Dataset_en.srt13.0 KB
  137. 133 04 Build A Second Table For Cross-Referencing_en.srt12.8 KB
  138. 189 02 Build The Layout_en.srt12.7 KB
  139. 032 03. Basic Line Plot_en.srt12.6 KB
  140. 019 Functions_en.srt12.5 KB
  141. 153 06 Predict Monthly Trend_en.srt12.0 KB
  142. 135 Source-files.zip11.7 KB
  143. 105 05 Plot Word Frequency_en.srt11.7 KB
  144. 079 02. Count Vectorizer_en.srt11.7 KB
  145. 042 01. Intro To Pandas_en.srt11.7 KB
  146. 162 05 Compare Closing Prices_en.srt11.5 KB
  147. 106 Source-Files.zip11.3 KB
  148. 166 03 Monte Carlo Analysis To Estimate Risk_en.srt11.3 KB
  149. 016 Loops_en.srt11.2 KB
  150. 167 04 Visualize Price Distribution_en.srt11.1 KB
  151. 151 04 Analyze Model Performance_en.srt10.9 KB
  152. 114 02 Find Relationships Between Categorical Features_en.srt10.8 KB
  153. 005 Operators_en.srt10.7 KB
  154. 110 03 Analyze Numerical Features_en.srt10.5 KB
  155. 035 06. Bar Chart_en.srt10.3 KB
  156. 013 Conditionals_en.srt10.3 KB
  157. 146 Source-Files.zip10.2 KB
  158. 115 03 Build Conditional Plots_en.srt10.1 KB
  159. 144 08 Rank Feature Importance_en.srt10.0 KB
  160. 145 09 Compare Positive And Negative Returns_en.srt10.0 KB
  161. 075 03. Matrix_en.srt9.9 KB
  162. 159 02 Visualize Stock Data Features_en.srt9.6 KB
  163. 070 03. Spark Machine Learning_en.srt9.6 KB
  164. 124 01 What Is A Database_en.srt9.4 KB
  165. 038 09. 3D Plotting_en.srt9.4 KB
  166. 078 01 NLP Data Cleaning_en.srt9.4 KB
  167. 175 05 Work With Tags_en.srt9.2 KB
  168. 031 02. Installing Matplotlib_en.srt8.9 KB
  169. 096 08 Perform Dataframe Math Operations_en.srt8.9 KB
  170. 155 08 Compare Final Stock Price Of Different Strategies_en.srt8.8 KB
  171. 130 01 Build A SQLite Database With Python_en.srt8.7 KB
  172. 043 02. Installing Pandas_en.srt8.7 KB
  173. 041 00. Panda Course Introduction_en.srt8.6 KB
  174. 128 02 Use Normal Forms To Check Your Design_en.srt8.6 KB
  175. 140 04 Analyze Features With More Plots_en.srt8.5 KB
  176. 178 08 Navigate HTML Contents_en.srt8.4 KB
  177. 098 10 Build SQL Queries With Spark_en.srt8.4 KB
  178. 088 02 What Are Resilient Distributed Datasets_en.srt1.4 KB
  179. 084 06. Conclusion and Challenge_en.srt5.9 KB
  180. 089 03A What Is A Dataframe_en.srt2.2 KB
  181. 184 Source-Files.zip2.0 MB
  182. 090 03B What You'll Need_en.srt2.2 KB
  183. 136 Course Overview_en.srt5.3 KB
  184. 78 bytes
  185. 051 10. Getting Elements From Dataframes.mp4140.8 MB
  186. 169 00 What Is Web Scraping_en.srt8.3 KB
  187. 029 00. Course Intro_en.srt8.3 KB
  188. 150 03 Predict Price With Facebook Prophet_en.srt8.1 KB
  189. 002 Intro To Python_en.srt8.1 KB
  190. 071 04. EXAMPLES - Using The Machine Learning Pipeline_en.srt8.1 KB
  191. 142 06 Build A Bokeh Plot_en.srt8.0 KB
  192. 134 05 Select Rows That Meet Conditions_en.srt7.9 KB
  193. 093 05 Load Data As A CSV_en.srt7.6 KB
  194. 154 07 Predict Weekly Trend_en.srt7.4 KB
  195. 131 02 Add An Entry To The Table With SQL_en.srt7.4 KB
  196. 001 Introduction_en.srt7.3 KB
  197. 081 04. Tweak Model with Spam Data_en.srt7.3 KB
  198. 173 03 Select Data Structures From A Webpage_en.srt7.2 KB
  199. 030 01. Intro To Pyplot_en.srt7.1 KB
  200. 174 04 Extract URLs And Text_en.srt7.1 KB
  201. 132 03 Add More Records To The Table_en.srt7.0 KB
  202. 180 Source-Files.zip6.8 KB
  203. 120 01 Why You Must Know How To Work With Data_en.srt6.7 KB
  204. 164 01 Visualize Standard Deviation And Expected Returns_en.srt6.6 KB
  205. 188 01 Load Data From Vega Datasets_en.srt6.6 KB
  206. 177 07 Add Navigation To A String_en.srt6.6 KB
  207. 141 05 Build Plots With Seaborn_en.srt6.5 KB
  208. 122 01 How To Read An ER Model_en.srt6.5 KB
  209. 176 06 Work With Attributes_en.srt6.3 KB
  210. 095 07 Format Dataframe Table_en.srt6.2 KB
  211. 082 05. Pipeline with Spam Data_en.srt6.2 KB
  212. 057 16.summary And Outro_en.srt6.1 KB
  213. 027 Summary and Outro_en.srt6.1 KB
  214. 149 02 Visualize Bitcoin Price Trend_en.srt6.1 KB
  215. 039 10. Course Outro_en.srt5.9 KB
  216. 168 Source-Files.zip5.9 KB
  217. 107 00 Project Preview_en.srt5.9 KB
  218. 179 09 Find All Filter_en.srt5.8 KB
  219. 094 06 Perform Basic Dataframe Operations_en.srt5.2 KB
  220. 092 04 Start A Spark Session_en.srt5.1 KB
  221. 182 02 What Is Plotly And Dash_en.srt5.0 KB
  222. 160 03 Calculate Daily Return_en.srt5.0 KB
  223. 125 02 What Is A Relational Database_en.srt5.0 KB
  224. 100 00 Project Preview_en.srt4.9 KB
  225. 104 04 Build Dataframes Per Part Of Speech_en.srt4.8 KB
  226. 165 02 Calculate Value At Risk_en.srt4.7 KB
  227. 143 07 Build A 3D Scatter Plot_en.srt4.6 KB
  228. 138 02 Perform Exploratory Data Analysis_en.srt4.6 KB
  229. 152 05 Visualize Model Results_en.srt4.5 KB
  230. 157 00 Project Preview_en.srt4.5 KB
  231. 192 01 Project Preview_en.srt4.4 KB
  232. 147 00 Project Preview_en.srt4.4 KB
  233. 163 Source-Files.zip3.9 KB
  234. 109 02 Analyze The Main Feature_en.srt3.8 KB
  235. 116 Source-Files.zip3.9 KB
  236. 117 00 Course Overview_en.srt2.4 KB
  237. 118 01 What You'll Need_en.srt3.6 KB
  238. 127 01 How To Design Columns And Data Types_en.srt3.6 KB
  239. 086 00 Project Preview_en.srt3.2 KB
  240. 087 01 What Is Apache Spark_en.srt3.2 KB
  241. 183 03 What You'll Need_en.srt3.0 KB
  242. 191 Source-Files.zip2.4 KB
  243. 181 01 Project Preview_en.srt2.1 KB
  244. 170 01 What You'll Need_en.srt2.1 KB
  245. 187 Source-Files.zip1.4 KB
  246. 8877.9 KB
  247. 050 09. Creating Pandas Dataframes.mp4140.1 MB
  248. 119 Source-files.zip1.7 MB
  249. 9170.6 KB
  250. 025 Inheritance Examples.mp4133.4 MB
  251. 10633.8 KB
  252. 076 04. SQL.mp4127.5 MB
  253. 11546.3 KB
  254. 006 Operators Examples.mp4126.6 MB
  255. 171 Source-Files.zip1.4 MB
  256. 127.9 KB
  257. 065 03. Association and Correlation.mp4124.1 MB
  258. 126 Source-Files.zip1.6 MB
  259. 13265.1 KB
  260. 044 03. Creating Pandas Series.mp4123.1 MB
  261. 14925.4 KB
  262. 054 13. Dataframe Operations.mp4119.1 MB
  263. 15963.0 KB
  264. 052 11. Getting Properties From Dataframes.mp4111.7 MB
  265. 16332.9 KB
  266. 003 Variables.mp4108.0 MB
  267. 172.0 MB
  268. 074 02. Network Mining.mp4106.6 MB
  269. 181.4 MB
  270. 048 07. Modifying Series.mp4103.3 MB
  271. 19752.1 KB
  272. 046 05. Getting Elements From Series.mp4102.4 MB
  273. 201.6 MB
  274. 185 01 Build A Dash App.mp498.9 MB
  275. 211.1 MB
  276. 080 03. NLP Example with Spam.mp498.5 MB
  277. 221.5 MB
  278. 101 01 Convert Csv File To A Python List.mp495.7 MB
  279. 23326.0 KB
  280. 055 14 Dataframe Comparisons And Iteration.mp493.0 MB
  281. 241.0 MB
  282. 103 03 Find Most Popular Lemmatized Words.mp492.6 MB
  283. 251.4 MB
  284. 195 03 Compute Support And Confidence For All Channels.mp492.1 MB
  285. 261.9 MB
  286. 070 03. Spark Machine Learning.mp491.1 MB
  287. 27954.1 KB
  288. 011 Dictionaries Examples.mp490.9 MB
  289. 281.1 MB
  290. 097 09 Perform Dataframe Queries.mp488.0 MB
  291. 296.5 KB
  292. 024 Objects Examples.mp486.4 MB
  293. 301.6 MB
  294. 033 04. Customizing Graphs.mp485.1 MB
  295. 31963.5 KB
  296. 172 02 Build An HTML Webpage To Scrape.mp484.3 MB
  297. 321.7 MB
  298. 026 Static Members Example.mp483.2 MB
  299. 33790.3 KB
  300. 021 Parameters And Return Values Examples.mp482.3 MB
  301. 341.7 MB
  302. 056 15. Reading CSVs.mp479.9 MB
  303. 35144.1 KB
  304. 023 Classes Example.mp478.8 MB
  305. 361.2 MB
  306. 059 Introduction to Data Mining.mp478.6 MB
  307. 371.4 MB
  308. 022 Classes and Objects.mp478.5 MB
  309. 381.5 MB
  310. 079 02. Count Vectorizer.mp478.0 MB
  311. 3947.0 KB
  312. 186 02 Build A Graph In The Dash App.mp477.9 MB
  313. 40123.8 KB
  314. 078 01 NLP Data Cleaning.mp476.7 MB
  315. 411.3 MB
  316. 133 04 Build A Second Table For Cross-Referencing.mp475.5 MB
  317. 42516.9 KB
  318. 151 04 Analyze Model Performance.mp474.9 MB
  319. 431.1 MB
  320. 015 If Statement Variants Examples.mp473.8 MB
  321. 44234.1 KB
  322. 161 04 Compare Returns Of Different Stocks.mp473.5 MB
  323. 45529.0 KB
  324. 008 Lists.mp473.3 MB
  325. 46708.5 KB
  326. 071 04. EXAMPLES - Using The Machine Learning Pipeline.mp472.5 MB
  327. 471.5 MB
  328. 018 For Loops Examples.mp472.2 MB
  329. 481.8 MB
  330. 190 03 Build A Chart With Altair.mp472.0 MB
  331. 4930.3 KB
  332. 108 01 Load A Dataset.mp471.5 MB
  333. 50482.9 KB
  334. 047 06. Getting Properties Of Series.mp470.7 MB
  335. 511.3 MB
  336. 034 05. Plotting Multiple Datasets.mp470.3 MB
  337. 521.7 MB
  338. 113 01 Find Relationships Between Numerical Features.mp468.9 MB
  339. 531.1 MB
  340. 196 04 Determine Which Videos Are Best To Recommend.mp467.8 MB
  341. 54209.5 KB
  342. 075 03. Matrix.mp467.3 MB
  343. 55671.0 KB
  344. 137 01 Load And Create Data.mp466.5 MB
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  346. 017 While Loops Examples.mp465.9 MB
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  348. 049 08. Operations On Series.mp465.1 MB
  349. 58924.3 KB
  350. 037 08. Histogram.mp465.0 MB
  351. 591016.6 KB
  352. 194 02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y.mp464.8 MB
  353. 601.2 MB
  354. 004 Type Conversion Examples.mp463.8 MB
  355. 61210.8 KB
  356. 045 04. Date Ranges.mp463.5 MB
  357. 62514.2 KB
  358. 096 08 Perform Dataframe Math Operations.mp462.8 MB
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  360. 153 06 Predict Monthly Trend.mp462.1 MB
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  366. 036 07. Pie Chart.mp461.2 MB
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  368. 084 06. Conclusion and Challenge.mp460.7 MB
  369. 681.3 MB
  370. 167 04 Visualize Price Distribution.mp460.4 MB
  371. 691.6 MB
  372. 148 01 Load Crypto Prices Dataset.mp459.8 MB
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  374. 110 03 Analyze Numerical Features.mp459.2 MB
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  376. 032 03. Basic Line Plot.mp458.3 MB
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  378. 105 05 Plot Word Frequency.mp458.1 MB
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  380. 012 Ranges Examples.mp457.6 MB
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  382. 158 01 Fetch Stock Data.mp457.6 MB
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  384. 139 03 Visualize Data With Different Plots.mp457.6 MB
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  386. 014 If Statement Examples.mp456.8 MB
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  388. 010 Tuples Examples.mp456.4 MB
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  390. 162 05 Compare Closing Prices.mp456.0 MB
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  392. 189 02 Build The Layout.mp455.7 MB
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  394. 019 Functions.mp454.6 MB
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  396. 111 04 Analyze Categorical Features.mp454.3 MB
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  398. 166 03 Monte Carlo Analysis To Estimate Risk.mp452.0 MB
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  400. 007 Collections.mp451.6 MB
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  402. 038 09. 3D Plotting.mp451.4 MB
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  404. 020 Functions Examples.mp451.3 MB
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  406. 042 01. Intro To Pandas.mp450.3 MB
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  408. 016 Loops.mp450.0 MB
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  410. 082 05. Pipeline with Spam Data.mp449.7 MB
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  412. 114 02 Find Relationships Between Categorical Features.mp449.2 MB
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  414. 115 03 Build Conditional Plots.mp448.5 MB
  415. 911.5 MB
  416. 159 02 Visualize Stock Data Features.mp447.8 MB
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  418. 009 Multidimensional List Examples.mp447.7 MB
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  420. 134 05 Select Rows That Meet Conditions.mp446.9 MB
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  422. 013 Conditionals.mp446.8 MB
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  424. 005 Operators.mp446.5 MB
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  426. 035 06. Bar Chart.mp446.0 MB
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  428. 098 10 Build SQL Queries With Spark.mp444.2 MB
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  430. 155 08 Compare Final Stock Price Of Different Strategies.mp443.0 MB
  431. 991.0 MB
  432. 093 05 Load Data As A CSV.mp441.1 MB
  433. 100946.7 KB
  434. 002 Intro To Python.mp440.4 MB
  435. 1011.6 MB
  436. 144 08 Rank Feature Importance.mp439.6 MB
  437. 102367.0 KB
  438. 041 00. Panda Course Introduction.mp439.5 MB
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  440. 150 03 Predict Price With Facebook Prophet.mp439.2 MB
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  442. 095 07 Format Dataframe Table.mp438.9 MB
  443. 1051.1 MB
  444. 174 04 Extract URLs And Text.mp438.8 MB
  445. 1061.2 MB
  446. 175 05 Work With Tags.mp438.6 MB
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  448. 142 06 Build A Bokeh Plot.mp437.3 MB
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  450. 154 07 Predict Weekly Trend.mp436.9 MB
  451. 1091.1 MB
  452. 001 Introduction.mp436.2 MB
  453. 1101.8 MB
  454. 031 02. Installing Matplotlib.mp435.7 MB
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  456. 043 02. Installing Pandas.mp435.6 MB
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  458. 145 09 Compare Positive And Negative Returns.mp435.5 MB
  459. 113529.9 KB
  460. 141 05 Build Plots With Seaborn.mp435.4 MB
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  462. 030 01. Intro To Pyplot.mp435.1 MB
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  464. 140 04 Analyze Features With More Plots.mp435.1 MB
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  466. 029 00. Course Intro.mp435.0 MB
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  468. 132 03 Add More Records To The Table.mp435.0 MB
  469. 1181.0 MB
  470. 173 03 Select Data Structures From A Webpage.mp434.9 MB
  471. 1191.1 MB
  472. 130 01 Build A SQLite Database With Python.mp434.4 MB
  473. 1201.6 MB
  474. 104 04 Build Dataframes Per Part Of Speech.mp434.0 MB
  475. 1212.0 MB
  476. 188 01 Load Data From Vega Datasets.mp433.5 MB
  477. 122522.4 KB
  478. 131 02 Add An Entry To The Table With SQL.mp433.0 MB
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  480. 057 16.summary And Outro.mp432.6 MB
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  482. 179 09 Find All Filter.mp432.4 MB
  483. 1251.6 MB
  484. 094 06 Perform Basic Dataframe Operations.mp432.2 MB
  485. 1261.8 MB
  486. 027 Summary and Outro.mp429.3 MB
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  488. 138 02 Perform Exploratory Data Analysis.mp427.2 MB
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  490. 128 02 Use Normal Forms To Check Your Design.mp427.0 MB
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  492. 164 01 Visualize Standard Deviation And Expected Returns.mp426.7 MB
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  494. 152 05 Visualize Model Results.mp426.6 MB
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  496. 039 10. Course Outro.mp426.5 MB
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  498. 086 00 Project Preview.mp426.3 MB
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  500. 177 07 Add Navigation To A String.mp424.3 MB
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  502. 160 03 Calculate Daily Return.mp424.1 MB
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  504. 176 06 Work With Attributes.mp423.8 MB
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  506. 092 04 Start A Spark Session.mp423.6 MB
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  508. 149 02 Visualize Bitcoin Price Trend.mp423.4 MB
  509. 138664.8 KB
  510. 169 00 What Is Web Scraping.mp422.0 MB
  511. 13915.8 KB
  512. 124 01 What Is A Database.mp421.6 MB
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  514. 165 02 Calculate Value At Risk.mp421.1 MB
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  516. 143 07 Build A 3D Scatter Plot.mp420.1 MB
  517. 1421.9 MB
  518. 100 00 Project Preview.mp419.8 MB
  519. 143179.2 KB
  520. 182 02 What Is Plotly And Dash.mp418.7 MB
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  522. 107 00 Project Preview.mp416.9 MB
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  524. 109 02 Analyze The Main Feature.mp416.0 MB
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  526. 192 01 Project Preview.mp415.6 MB
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  528. 120 01 Why You Must Know How To Work With Data.mp415.6 MB
  529. 148415.1 KB
  530. 122 01 How To Read An ER Model.mp414.0 MB
  531. 14913.9 KB
  532. 118 01 What You'll Need.mp413.5 MB
  533. 150480.2 KB
  534. 087 01 What Is Apache Spark.mp413.5 MB
  535. 151549.4 KB
  536. 125 02 What Is A Relational Database.mp413.3 MB
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  538. 157 00 Project Preview.mp412.7 MB
  539. 1531.3 MB
  540. 147 00 Project Preview.mp410.9 MB
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  542. 183 03 What You'll Need.mp410.7 MB
  543. 1551.3 MB
  544. 181 01 Project Preview.mp49.4 MB
  545. 156632.7 KB
  546. 127 01 How To Design Columns And Data Types.mp49.2 MB
  547. 157832.2 KB
  548. 136 Course Overview.mp48.9 MB
  549. 1581.1 MB
  550. 090 03B What You'll Need.mp48.6 MB
  551. 1591.4 MB
  552. 089 03A What Is A Dataframe.mp48.6 MB
  553. 1601.4 MB
  554. 117 00 Course Overview.mp48.0 MB
  555. 16141.4 KB
  556. 170 01 What You'll Need.mp47.5 MB
  557. 162524.0 KB
  558. 088 02 What Are Resilient Distributed Datasets.mp47.4 MB
  559. 163579.6 KB
  560. 091 Source-Files.zip3.0 MB

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