Python Hands On Crash Course For Data Science 12 Projects

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Python Hands On Crash Course For Data Science 12 Projects
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Files
  1. 1. Introduction.mp4393.4 MB
  2. TutsNode.com.txt63 bytes
  3. 1. Introduction 1-en_US.srt81.9 KB
  4. 2. Lab Session 1 Exploratory Data Analysis(EDA)-en_US.srt76.9 KB
  5. Download Curriculum.html214 bytes
  6. 3. Exploratory Data Analysis (EDA)-en_US.srt76.7 KB
  7. Download Datasets.html82 bytes
  8. 3. Lab Session-en_US.srt74.1 KB
  9. 1. Supervised Machine Learning-en_US.srt67.2 KB
  10. 2. Lab Session-en_US.srt64.2 KB
  11. 2. Lab Session 1 Exploratory Data Analysis(EDA)-en_US.srt63.6 KB
  12. 4. Lab Session 3 Building Linear Regression Model-en_US.srt63.5 KB
  13. 14. Numpy DataFrame Introduction-en_US.srt25.1 KB
  14. Lecture Resources.html198 bytes
  15. 014 bytes
  16. 1. Supervised Machine Learning.mp4384.1 MB
  17. TDS-Python-Crash-Course-Curriculum.pdf1.2 MB
  18. 3. Lab Session 2 EDA Dealing With Categorical And Missing Values-en_US.srt59.5 KB
  19. 1. Introduction-en_US.srt53.0 KB
  20. Lecture Resources.html165 bytes
  21. 4. Lab Session 2 Exploratory Data Analysis(EDA)-en_US.srt49.0 KB
  22. 1. Web Scraping On Wikipedia-en_US.srt45.7 KB
  23. 3. Lab Session-en_US.srt45.3 KB
  24. 1. Introduction-en_US.srt44.7 KB
  25. 3. Building Amazon Auto Scraper-en_US.srt43.1 KB
  26. 1. Analyze Your Facebook Data Live!!-en_US.srt42.6 KB
  27. Lesson Resources.html179 bytes
  28. Loading Dataset In Colab.html1.1 KB
  29. 1. Python Hands-On Introduction-en_US.srt1.6 KB
  30. 1. Linear Regression-en_US.srt42.5 KB
  31. 6. Creating The Necessary Folders-en_US.srt41.3 KB
  32. 1. Introduction-en_US.srt39.3 KB
  33. 3. Lab Session 1 Exploratory Data Analysis(EDA)-en_US.srt39.2 KB
  34. 4. Model Building-en_US.srt38.8 KB
  35. 2. Introduction 2-en_US.srt37.5 KB
  36. 2. PART 2 Python Tips & Tricks-en_US.srt37.3 KB
  37. 5. Lab Session 3 Building Logistic Regression Model-en_US.srt36.5 KB
  38. 4. Hands-On Coding Python Operators-Bitwise Operators-en_US.srt11.0 KB
  39. 19 bytes
  40. 1. Web Scraping On Wikipedia.mp4361.6 MB
  41. Lecture Resources.html189 bytes
  42. 1. Introduction-en_US.srt35.3 KB
  43. 2. Applications Of A.IMachine Learning-en_US.srt34.2 KB
  44. 2. PART 2 Book Store Web Scrapping-en_US.srt34.1 KB
  45. 2. KNN Distance Measures-en_US.srt33.3 KB
  46. 5. Choosing K In K-NN-en_US.srt32.8 KB
  47. 1. Pandas Series 1-en_US.srt30.6 KB
  48. 4. Lab Session Building KNN Model-en_US.srt30.6 KB
  49. 8. Final Deployment-en_US.srt30.2 KB
  50. 4. Lab Session 2 Building A Support Vector Machine (SVM) Model-en_US.srt29.0 KB
  51. 3. Create Your First Flask App Linking HTML File-en_US.srt26.9 KB
  52. 7. Creating Folder Contents-en_US.srt26.7 KB
  53. 4. PART 4 Book Store Web Scrapping-en_US.srt26.6 KB
  54. 2. Linkedin Connections Company Analysis with Python-en_US.srt25.7 KB
  55. 1. User Define Functions-en_US.srt19.9 KB
  56. 27 bytes
  57. 1. Introduction 1.mp4359.5 MB
  58. 6. Python Hands-On Python Operators-Special Operators-en_US.srt2.8 KB
  59. 11. Numpy Indexing & Slicing-en_US.srt25.6 KB
  60. 1. What Is K-Means Clustering-en_US.srt24.9 KB
  61. 1. Scipy-en_US.srt24.7 KB
  62. 1. PART 1 Python Tips & Tricks-en_US.srt24.7 KB
  63. 1. Scikit-Learn-en_US.srt24.2 KB
  64. 2. If...Else Statement-en_US.srt2.9 KB
  65. 2. Install and Write Your First Python Code-en_US.srt24.1 KB
  66. 1. Introduction-en_US.srt22.5 KB
  67. 1. Introduction-en_US.srt22.0 KB
  68. 1. Introduction-en_US.srt21.3 KB
  69. 2. PART 2 Building Amazon Auto Scraper-en_US.srt20.8 KB
  70. 3. Choosing K in K-Means-The Elbow Method-en_US.srt20.4 KB
  71. 2. Create Your First Flask App-en_US.srt20.3 KB
  72. 2. Hands-On With Python Keywords And Identifiers-en_US.srt20.3 KB
  73. 1. Linkedin Connection Timeline Analysis with Python-en_US.srt20.3 KB
  74. 1. Difference Between KNN and K-Means Algorithms-en_US.srt19.6 KB
  75. 1. Introduction To Numpy-en_US.srt18.6 KB
  76. 1. Curriculum Video Walkthrough-en_US.srt18.2 KB
  77. 4. Create Your First Flask App Linking CSS File-en_US.srt17.9 KB
  78. 9. Pandas How To Drop Columns And Rows In Pandas DataFrame-en_US.srt17.9 KB
  79. 5. Hands-On With Flask-en_US.srt17.6 KB
  80. 3. Splitting Function-en_US.srt17.5 KB
  81. 2. Pandas Series 2-en_US.srt17.4 KB
  82. 2. Dealing With Linearly Inseparable Points-en_US.srt16.9 KB
  83. 2. Dendrograms And Cophenetic correlation-en_US.srt16.9 KB
  84. 1. LIST-en_US.srt16.0 KB
  85. 5. Misspelling, Missing and Misusing Python Keywords-en_US.srt15.7 KB
  86. 1. Global Variable-en_US.srt2.9 KB
  87. 8. How To Generate Calendar-en_US.srt3.4 KB
  88. 333 bytes
  89. 3. Exploratory Data Analysis (EDA).mp4350.1 MB
  90. 3. PART 3 Book Store Web Scrapping-en_US.srt15.7 KB
  91. 1. Automate WhatsApp Messages-en_US.srt14.9 KB
  92. 2. The Close Method-en_US.srt2.1 KB
  93. 2. Difference between Regression And Correlation-en_US.srt14.8 KB
  94. 4. Handling Exceptions With Try & Except-en_US.srt14.7 KB
  95. 22. PandasJoin-en_US.srt14.7 KB
  96. 15. Pandas Conditional Selection With Pandas-en_US.srt14.6 KB
  97. 5. Pandas Operations On Pandas DataFrame-en_US.srt14.5 KB
  98. 4. Range In Python-en_US.srt14.0 KB
  99. 3. Lab Session 1 Exploratory Data Analysis(EDA)-en_US.srt14.0 KB
  100. 2. Renaming Modules-en_US.srt2.0 KB
  101. 5. Hands-On Coding Python Variables-en_US.srt13.9 KB
  102. 3. Linkedin Connections Position Analysis with Python-en_US.srt13.6 KB
  103. 7. Pandas Reading A Dataset Into Pandas DataFrame-en_US.srt13.4 KB
  104. 2. Introduction to Dataset-en_US.srt12.8 KB
  105. 4. Lambda Function-en_US.srt12.6 KB
  106. 23. Pandas Merge-en_US.srt12.5 KB
  107. 3. Pandas Loc & iLoc-en_US.srt12.4 KB
  108. 3. Drawing Insights From Data-en_US.srt11.9 KB
  109. 2. Hands-On Coding Input() Function In Python-en_US.srt11.8 KB
  110. 1. Python Files-en_US.srt11.5 KB
  111. 11. Operator Errors In Python-en_US.srt11.4 KB
  112. 2. Working On List-en_US.srt11.4 KB
  113. 3. Hands-On Coding Python Operators Logical Operators-en_US.srt11.2 KB
  114. 16. Pandas How To Deal With Null Values-en_US.srt11.1 KB
  115. 3. Hands-On Code Python Comments-en_US.srt11.0 KB
  116. 4. Linkedin Connections Position Analysis(WordCloud) with Python-en_US.srt10.9 KB
  117. 6. Hands-On Coding Rules and Naming Conventions for Python Variables-en_US.srt10.9 KB
  118. 14. How To Handle Different Time Zones-en_US.srt10.9 KB
  119. 11. Pandas How To Rename A Column In Pandas Dataframe-en_US.srt10.8 KB
  120. 1. Automate Facebook Messenger with Python-en_US.srt10.5 KB
  121. 5. List Comprehension In Python-en_US.srt10.5 KB
  122. Lecture Resources.html189 bytes
  123. 20. Pandas Concatenate Function-en_US.srt10.3 KB
  124. 5. Built-In Function-en_US.srt10.4 KB
  125. 4. Writing To A File In Python-en_US.srt10.3 KB
  126. 13. Pandas How To Check For Missing Values or Null Values(isnull() Vs Isna())-en_US.srt10.0 KB
  127. 2. Python Syntax Errors-en_US.srt9.9 KB
  128. 2. PIP Install Python Libraries-en_US.srt9.7 KB
  129. 1. PART 1 Book Store Web Scrapping-en_US.srt9.7 KB
  130. 1. Python Modules-en_US.srt9.5 KB
  131. 5. Working With TimeDelta in Python-en_US.srt9.4 KB
  132. 15. Numpy Creating Matrix-en_US.srt9.3 KB
  133. 14. Pandas Pandas Describe Function-en_US.srt9.3 KB
  134. 6. Monthly Order Analysis-en_US.srt9.0 KB
  135. 12. Logical Errors In Python-en_US.srt8.8 KB
  136. 3. Numpy Arange Function-en_US.srt8.5 KB
  137. 7. Numpy Resize Function-en_US.srt8.4 KB
  138. 3. ELif Statement-en_US.srt8.3 KB
  139. 5. While loop-en_US.srt8.2 KB
  140. 17. DataFrame How to Get The Week and Leap Year from DataFrame-en_US.srt8.2 KB
  141. 5. Numpy Reshape Function-en_US.srt1.7 KB
  142. 1. Exception Handling Introduction-en_US.srt8.1 KB
  143. 16. DataFrame Get Year, Month and Day from a DataFrame 2-en_US.srt8.1 KB
  144. 2. Data Cleaning-en_US.srt8.0 KB
  145. 30. Folium Plot-en_US.srt8.0 KB
  146. 20. Sunburst Interactive Plotting 1-en_US.srt7.8 KB
  147. 41. Animated Plot With Matplotlib Code Walk Through 4-en_US.srt7.6 KB
  148. 2. Introduction To Jupyter Notebook Code Vs Markdown Vs Raw-en_US.srt7.6 KB
  149. 4. Time Series Analysis-en_US.srt7.6 KB
  150. 2. Arbitrary Arguments-en_US.srt7.5 KB
  151. 13. Numpy How To Create A Copy Dataset-en_US.srt7.5 KB
  152. 4. Numpy Zeros, Ones and Eye functions-en_US.srt7.5 KB
  153. 6. The Finally Clause-en_US.srt7.4 KB
  154. 6. Missing Parentheses, Brackets and Quotes-en_US.srt7.4 KB
  155. 12. Numpy Broadcasting-en_US.srt2.1 KB
  156. 2. Raising An Exception In Python-en_US.srt7.3 KB
  157. 5. Daily Order Analysis-en_US.srt7.3 KB
  158. 42. Animated Plot With Matplotlib Final Output-en_US.srt7.3 KB
  159. 28. Creating WordCloud-en_US.srt7.3 KB
  160. 1. Python Packages and Libraries-en_US.srt7.2 KB
  161. 10. Date and Time Formatting Using STRFTIME and STRPTIME-en_US.srt7.2 KB
  162. 1. Introduction-en_US.srt7.1 KB
  163. Lecture Resources.html52 bytes
  164. 23. Bubble Plot-en_US.srt7.1 KB
  165. 1. Introduction To Google Colab Overview-en_US.srt7.0 KB
  166. 24. Box Plot-en_US.srt7.0 KB
  167. 1. Introduction-en_US.srt6.9 KB
  168. 2. Introduction To Google Colab Working With Text-en_US.srt6.9 KB
  169. 1. If Statement-en_US.srt6.8 KB
  170. 8. Pandas Adding A Column To Pandas DataFrame-en_US.srt6.8 KB
  171. 3. Hands-On Coding Import() Function In Python-en_US.srt6.7 KB
  172. 4. Pandas DataFrame Introduction-en_US.srt6.7 KB
  173. 15. Tree Plot-en_US.srt6.7 KB
  174. 20. Operations on Date and Time with Dataset 2-en_US.srt6.7 KB
  175. 12. How To Work With Timestamp-en_US.srt6.6 KB
  176. 17. Heat Map-en_US.srt6.6 KB
  177. 2. Plotting Bar Graphs-en_US.srt6.4 KB
  178. 4. Lesson 4 Tuple & List Mutability-en_US.srt6.4 KB
  179. 7. Continue Statement-en_US.srt6.4 KB
  180. 1. Getting Started With Anaconda-en_US.srt6.4 KB
  181. 8. Python Runtime Error-en_US.srt6.3 KB
  182. 39. Animated Plot With Matplotlib Code Walk Through 2-en_US.srt6.3 KB
  183. 7. Lesson 7 Dictionary-en_US.srt6.3 KB
  184. 5. Plotly Display Output In Google Colab-en_US.srt6.3 KB
  185. 32. Multi-Variable Time Series Plot-en_US.srt6.2 KB
  186. 2. Local Variable-en_US.srt6.2 KB
  187. 6. Altair-en_US.srt6.1 KB
  188. 31. Time Series Plot-en_US.srt6.1 KB
  189. 34. 3D Plots With Plotly-en_US.srt6.0 KB
  190. 7. ggplot-en_US.srt5.9 KB
  191. 21. Pandas Join & Merge(Creating Dataset)-en_US.srt5.9 KB
  192. 19. Operations on Date and Time with Dataset 1-en_US.srt5.9 KB
  193. 10. NumpyGenerating Random Values With random.randint-en_US.srt5.9 KB
  194. 10. Pandas How To Reset Index In Pandas Dataframe-en_US.srt5.6 KB
  195. 5. Hands-On Coding Python Operators-Assignment Operators-en_US.srt5.6 KB
  196. 4. Python Common Syntax Errors-en_US.srt5.5 KB
  197. 4. Hands-On Coding Python Docstring-en_US.srt5.5 KB
  198. 18. Pandas Pandas Groupby-en_US.srt875 bytes
  199. 6. How To Extract Week-Day From A Given Date 1-en_US.srt5.5 KB
  200. 1. Flask Introduction-en_US.srt5.5 KB
  201. 9. Distplot-en_US.srt5.4 KB
  202. 4. Plotly-en_US.srt5.4 KB
  203. 6. Break Statement-en_US.srt5.4 KB
  204. 4. Introduction To Jupyter Notebook Working With Code(Saving & Exporting Notebook)-en_US.srt5.3 KB
  205. 12. Pandas Tail(), Column and Index-en_US.srt5.2 KB
  206. 6. Pandas Selection And Indexing On Pandas DataFrame-en_US.srt5.1 KB
  207. 17. Pandas How To Sort Values In Pandas-en_US.srt5.0 KB
  208. 8. NumpyGenerating Random Values With random.rand-en_US.srt4.9 KB
  209. 33. 3D Plots With Matplotlib-en_US.srt4.9 KB
  210. Lecture Resources.html52 bytes
  211. 4. For loop-en_US.srt4.9 KB
  212. 36. Animated Plot With Plotly-en_US.srt4.8 KB
  213. 3. Seaborn-en_US.srt4.8 KB
  214. 7. How To Extract Week-Day From A Given Date 2-en_US.srt4.8 KB
  215. 9. Zero Division Error-en_US.srt4.7 KB
  216. 5. Lesson 5 Tuple Immutability-en_US.srt4.7 KB
  217. 5. The Else Clause-en_US.srt4.7 KB
  218. 1. Lesson 1 Integer & Floating Point Numbers-en_US.srt4.7 KB
  219. 3. Raising An AssertionError In Python-en_US.srt4.6 KB
  220. 6. Histogram-en_US.srt4.6 KB
  221. 3. How To Properly Read and Understand Errors In Python-en_US.srt4.6 KB
  222. 15. DataFrame Get Year, Month and Day from a DataFrame 1-en_US.srt4.6 KB
  223. 7. Hands-On Coding Python Operators-Membership Operators-en_US.srt4.6 KB
  224. 10. Bivariate and Multivariate Distplot-en_US.srt4.6 KB
  225. Lecture Resources.html222 bytes
  226. 1. Python Error Handling Introduction-en_US.srt4.6 KB
  227. 15. Python KeyError-en_US.srt4.6 KB
  228. 2. Lesson 2 Complex Numbers & Strings-en_US.srt4.5 KB
  229. 2. Matplotlib-en_US.srt4.5 KB
  230. 3. Horizontal Bar Graphs-en_US.srt2.4 KB
  231. 1. Bar Graph Dataset Overview-en_US.srt4.5 KB
  232. 3. Introduction To Google Colab Saving & Exporting Notebook-en_US.srt4.5 KB
  233. 10. Searching On Stack Overflow-en_US.srt4.5 KB
  234. 5. Group Bar Graphs-en_US.srt1.8 KB
  235. 19. Sunburst-en_US.srt4.4 KB
  236. 12. Scatter Plot-en_US.srt4.3 KB
  237. 22. Funnel Plot-en_US.srt4.3 KB
  238. 7. Marginal Histogram-en_US.srt2.6 KB
  239. 26. Wind Rose Chart-en_US.srt4.2 KB
  240. 8. Facet Histogram-en_US.srt3.0 KB
  241. 13. Relplot-en_US.srt4.2 KB
  242. 4. Stacked Bar Graphs-en_US.srt4.1 KB
  243. 18. DataFrame How to Get Age from Date-en_US.srt4.0 KB
  244. 18. Python KeyboardInterrupt-en_US.srt3.9 KB
  245. 9. NumpyGenerating Random Values With random.randn-en_US.srt3.9 KB
  246. 11. Hexplot-en_US.srt2.9 KB
  247. 16. Pie Chart-en_US.srt3.9 KB
  248. 1. Flask Introduction-en_US.srt3.8 KB
  249. 7. Indentation Error-en_US.srt3.8 KB
  250. 6. Numpy Linspace-en_US.srt3.8 KB
  251. 27. Word Cloud Overview Of Dataset-en_US.srt3.8 KB
  252. 14. LM Plot-en_US.srt2.9 KB
  253. 21. Operations on Date and Time with Dataset 3-en_US.srt3.7 KB
  254. 37. Animated Plot With Matplotlib COVID 19 Dataset-en_US.srt3.7 KB
  255. 1. Hands-On Coding Output() Function In Python-en_US.srt3.7 KB
  256. 2. How To Extract Day, Month and Year from a given Time-en_US.srt3.6 KB
  257. 3. The With Statement-en_US.srt3.6 KB
  258. 18. Scatter Matrix-en_US.srt3.6 KB
  259. 3. Lesson 3 LIST-en_US.srt3.6 KB
  260. 3. Introduction To Jupyter Notebook Working With Text-en_US.srt3.5 KB
  261. 40. Animated Plot With Matplotlib Code Walk Through 3-en_US.srt3.5 KB
  262. 1. Hands-On Coding Python Operators-Arithmetic Operators-en_US.srt3.5 KB
  263. 3. How to Extract Hours, Minutes, Seconds and Micro-seconds from a given Time-en_US.srt3.4 KB
  264. 6. Lesson 6 Set-en_US.srt3.3 KB
  265. 3. The from...import Statement-en_US.srt3.2 KB
  266. 21. Sunburst Interactive Plotting 2-en_US.srt2.9 KB
  267. 19. Pandas Count() & Value_Count()-en_US.srt3.2 KB
  268. 13. Python IndexError-en_US.srt3.1 KB
  269. 3. Function With Loops-en_US.srt3.1 KB
  270. 2. Hands-On Coding Python Operators Comparison Operators-en_US.srt3.1 KB
  271. 38. Animated Plot With Matplotlib Code Walk Through 1-en_US.srt3.1 KB
  272. 25. Violin Plot-en_US.srt3.0 KB
  273. 2. Numpy Creating Multi-Dimensional Arrays-en_US.srt3.0 KB
  274. 29. Folium Overview Of Dataset-en_US.srt3.0 KB
  275. 35. 3D Plots With Plotly Output-en_US.srt2.9 KB
  276. 2. Library Requests-en_US.srt2.9 KB
  277. 4. How To Update current Date-en_US.srt2.9 KB
  278. 11. How To Extract The Year, Month, Day Time Using STRFTIME-en_US.srt2.8 KB
  279. 14. Python ModuleNotFoundError-en_US.srt2.5 KB
  280. 5. Library Scrapy-en_US.srt2.5 KB
  281. Last Words.html2.5 KB
  282. 16. Python ImportError-en_US.srt2.4 KB
  283. 9. How To Format Date and Time in Python-en_US.srt2.4 KB
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  793. 5. Numpy Reshape Function.mp410.1 MB
  794. 2471.9 MB
  795. 14. LM Plot.mp410.0 MB
  796. 24812.8 KB
  797. 3. Horizontal Bar Graphs.mp410.0 MB
  798. 24945.9 KB
  799. 2. Numpy Creating Multi-Dimensional Arrays.mp49.8 MB
  800. 250166.6 KB
  801. 6. Python Hands-On Python Operators-Special Operators.mp49.8 MB
  802. 251182.7 KB
  803. 7. Marginal Histogram.mp49.6 MB
  804. 252363.0 KB
  805. 3. Lesson 3 LIST.mp49.6 MB
  806. 253380.7 KB
  807. 13. How To Convert Strings To DateTime Using STRPTIME.mp49.6 MB
  808. 254385.0 KB
  809. 2. Create Your First Flask App.mp49.5 MB
  810. 255474.4 KB
  811. 3. Introduction To Jupyter Notebook Working With Text.mp49.1 MB
  812. 256885.0 KB
  813. 3. Library BeautifulSoup.mp48.6 MB
  814. 2571.4 MB
  815. 2. Renaming Modules.mp48.4 MB
  816. 2581.6 MB
  817. 9. How To Format Date and Time in Python.mp48.4 MB
  818. 2591.6 MB
  819. 6. Lesson 6 Set.mp48.2 MB
  820. 2601.8 MB
  821. 17. Python ValueError.mp47.9 MB
  822. 26163.0 KB
  823. 5. Group Bar Graphs.mp47.8 MB
  824. 262162.8 KB
  825. 2. The Close Method.mp47.4 MB
  826. 263627.9 KB
  827. 1. Python Hands-On Introduction.mp46.1 MB
  828. 2641.9 MB
  829. 18. Pandas Pandas Groupby.mp44.5 MB

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