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Udemy - Python The Ultimate Course 2023 - Everything You'll Ever Need

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文件列表

  1. 27. Portfolio Project Netflix Recommender Systems Introduction/11. Converting The Project To Object Oriented Programming Styles.mp4 155MB
  2. 12. Python Object Oriented Programming/4. Controlling a Motor With Class Methods and Class Variables.mp4 154MB
  3. 28. OCR and Image To Text Conversion/10. Processing.mp4 152MB
  4. 27. Portfolio Project Netflix Recommender Systems Introduction/12. Converting To Generic Class.mp4 132MB
  5. 33. Gaussian Naive Bayes/1. Simply Explained.mp4 130MB
  6. 27. Portfolio Project Netflix Recommender Systems Introduction/5. Data pre-processing.mp4 130MB
  7. 25. GUI App Portfolio Project/10. Implementation Part 8.mp4 126MB
  8. 34. Principal Component Analysis (PCA)/3. Let's Add Few More Details.mp4 121MB
  9. 12. Python Object Oriented Programming/3. Objects & Motor Functions.mp4 119MB
  10. 12. Python Object Oriented Programming/6. Super Keyword.mp4 114MB
  11. 25. GUI App Portfolio Project/8. Implementation Part 6.mp4 112MB
  12. 6. Loops and Data Iteration/3. Saving Code Space By Using FOR loops.mp4 110MB
  13. 47. Deep Learning Image Classification Portfolio Project/3. Data Pre-Processing.mp4 109MB
  14. 49. AI Web App Portfolio Project/8. Project Implementation Part 6.mp4 101MB
  15. 9. Data Storage With Python Dictionaries/8. Iterating a Dictionary.mp4 100MB
  16. 6. Loops and Data Iteration/7. Image Coordinates Shift Using For Loop.mp4 98MB
  17. 3. Conditional Statements and Branching/6. What is my Grade Letter.mp4 96MB
  18. 43. Natural Language Processing (NLP) and Text Comprehension/10. Text Frequency Analysis.mp4 94MB
  19. 8. Graphical Game Build Your First Ping Pong/4. Keyboard Commands.mp4 93MB
  20. 40. Hierarchical Clustering/1. Simply Explained.mp4 90MB
  21. 5. Finite State Machines In Python/1. Introduction To Finite State Machines.mp4 89MB
  22. 27. Portfolio Project Netflix Recommender Systems Introduction/8. Weighing Average.mp4 88MB
  23. 7. Organizing Code With Python Functions/3. List Entries Using Functions.mp4 87MB
  24. 41. Random Forests And Decision Trees/1. Random Forests Simply Explained.mp4 86MB
  25. 44. NLP Portfolio Project/6. Project Implementation Part 4.mp4 83MB
  26. 28. OCR and Image To Text Conversion/12. Gluing.mp4 82MB
  27. 24. GUI Apps/14. Dividing Canvas Part 2.mp4 81MB
  28. 14. ReadWrite ZipUnzip Files/4. Reading With Split.mp4 79MB
  29. 46. Deep Learning Portfolio Project/5. Project Implementation Part 3.mp4 79MB
  30. 49. AI Web App Portfolio Project/3. Project Implementation Part 1.mp4 79MB
  31. 7. Organizing Code With Python Functions/4. Global Variables & What Can't My Function See.mp4 78MB
  32. 47. Deep Learning Image Classification Portfolio Project/8. Data Augementation.mp4 78MB
  33. 9. Data Storage With Python Dictionaries/5. Adding Entries to Dictionary.mp4 77MB
  34. 40. Hierarchical Clustering/6. Visual Evaluation.mp4 76MB
  35. 28. OCR and Image To Text Conversion/8. Reading Images.mp4 76MB
  36. 45. Deep Learning With Artificial Neural Networks/15. Metrics Evaluation.mp4 75MB
  37. 11. Lambda and Built-In Functions/4. Map and Filter Built-in Function.mp4 75MB
  38. 8. Graphical Game Build Your First Ping Pong/3. Creating Ping Pong Paddles.mp4 74MB
  39. 16. Directory Management/10. Bulk Data Rename.mp4 74MB
  40. 1. Installing And Preparing The Environment/1. Introduction.mp4 74MB
  41. 47. Deep Learning Image Classification Portfolio Project/10. Confusion Matrix.mp4 73MB
  42. 32. Seaborn/3. Data Relationships Visualization.mp4 73MB
  43. 7. Organizing Code With Python Functions/5. Returning A Value After Function Execution.mp4 71MB
  44. 49. AI Web App Portfolio Project/5. Project Implementation Part 3.mp4 70MB
  45. 19. Image Processing with OpenCV/17. Extracting Contours.mp4 70MB
  46. 42. Reinforcement Machine Learning and Teaching Models/6. Brute Forcing A Solution Part 1.mp4 69MB
  47. 23. Pandas and Tabular Data Processing/13. Filtering.mp4 69MB
  48. 4. Lists and Bundle Data storage/3. Storing Names-Ages Using Lists.mp4 69MB
  49. 39. t-SNE/1. Simply Explained.mp4 68MB
  50. 6. Loops and Data Iteration/6. Advanced Loops with List Comprehension.mp4 66MB
  51. 3. Conditional Statements and Branching/5. Controlling an RC Toy With ELIF Statement.mp4 66MB
  52. 42. Reinforcement Machine Learning and Teaching Models/8. Q-learning Simply Explained.mp4 65MB
  53. 25. GUI App Portfolio Project/4. Implementation Part 2.mp4 65MB
  54. 47. Deep Learning Image Classification Portfolio Project/6. Building Model.mp4 63MB
  55. 36. K-means and Classification Models/5. Predicting New Data.mp4 62MB
  56. 46. Deep Learning Portfolio Project/6. Project Implementation Part 4.mp4 62MB
  57. 18. Numpy and Advanced Data structures/5. Searching For Elements.mp4 62MB
  58. 47. Deep Learning Image Classification Portfolio Project/9. Dropout And More Data.mp4 62MB
  59. 49. AI Web App Portfolio Project/10. Project Implementation Part 8.mp4 61MB
  60. 44. NLP Portfolio Project/1. Project Intuition.mp4 61MB
  61. 14. ReadWrite ZipUnzip Files/2. Reading .txt Files.mp4 61MB
  62. 28. OCR and Image To Text Conversion/13. Project Main Function.mp4 60MB
  63. 28. OCR and Image To Text Conversion/7. Creating an Invoice Automatic Database Logging.mp4 60MB
  64. 34. Principal Component Analysis (PCA)/1. Simply Explained.mp4 60MB
  65. 20. Video Processing/7. Modifying Video HSV.mp4 60MB
  66. 42. Reinforcement Machine Learning and Teaching Models/3. Problem Statement.mp4 59MB
  67. 25. GUI App Portfolio Project/9. Implementation Part 7.mp4 59MB
  68. 44. NLP Portfolio Project/8. Project Implementation Part 6.mp4 59MB
  69. 16. Directory Management/11. Filtered Search.mp4 59MB
  70. 25. GUI App Portfolio Project/3. Implementation Part 1.mp4 58MB
  71. 25. GUI App Portfolio Project/7. Implementation Part 5.mp4 58MB
  72. 27. Portfolio Project Netflix Recommender Systems Introduction/6. Filtering by Series Genre.mp4 58MB
  73. 21. Object Tracking In Video/5. Multiple Object Tracking.mp4 57MB
  74. 3. Conditional Statements and Branching/3. How does a Car Utilize The IF Statement.mp4 57MB
  75. 20. Video Processing/6. HSV adjusting Algorithm.mp4 56MB
  76. 19. Image Processing with OpenCV/13. Stacking Display.mp4 55MB
  77. 28. OCR and Image To Text Conversion/6. Text Boxes.mp4 55MB
  78. 25. GUI App Portfolio Project/5. Implementation Part 3.mp4 55MB
  79. 49. AI Web App Portfolio Project/9. Project Implementation Part 7.mp4 55MB
  80. 44. NLP Portfolio Project/4. Project Implementation Part 2.mp4 55MB
  81. 45. Deep Learning With Artificial Neural Networks/13. Shallow Or Deep.mp4 54MB
  82. 29. Starting Data Science Artificial Data/8. Blobs.mp4 54MB
  83. 30. ML Terminologies Easily Explained/2. Supervised Vs Unsupervised.mp4 54MB
  84. 36. K-means and Classification Models/1. Simply Explained.mp4 54MB
  85. 42. Reinforcement Machine Learning and Teaching Models/9. Q-Learning Implementation Part 1.mp4 53MB
  86. 14. ReadWrite ZipUnzip Files/3. Writing .txt Files.mp4 53MB
  87. 12. Python Object Oriented Programming/5. Inheritance and Passing On Functionality.mp4 52MB
  88. 19. Image Processing with OpenCV/15. Contours Pre-processing.mp4 52MB
  89. 48. Artificial Intelligence Web Apps/8. More Widgets Handling.mp4 52MB
  90. 36. K-means and Classification Models/3. K-means Clustering Implementation.mp4 52MB
  91. 43. Natural Language Processing (NLP) and Text Comprehension/9. Combining Techniques.mp4 51MB
  92. 24. GUI Apps/13. Dividing Canvas Part 1.mp4 51MB
  93. 17. Building Command Line Applications/3. Creating CLI with Arguments.mp4 51MB
  94. 33. Gaussian Naive Bayes/5. Creating and Training Model.mp4 50MB
  95. 4. Lists and Bundle Data storage/7. Nested Lists.mp4 50MB
  96. 37. Support Vector Machine (SVM)/5. Minst in Action.mp4 50MB
  97. 10. Exceptions and Preventing Program Crash/4. Exception Types.mp4 49MB
  98. 15. Introduction To Matplotlib/2. Subplots.mp4 49MB
  99. 9. Data Storage With Python Dictionaries/7. Deleting From a DicList.mp4 49MB
  100. 28. OCR and Image To Text Conversion/9. Coordinate Extraction.mp4 49MB
  101. 2. Strings , Random Number Generators and CLI Game Fun/3. Creating Variables in Python.mp4 49MB
  102. 34. Principal Component Analysis (PCA)/4. Creating PCA Model For Data Visualization.mp4 48MB
  103. 24. GUI Apps/6. Keys.mp4 48MB
  104. 47. Deep Learning Image Classification Portfolio Project/1. Classification.mp4 48MB
  105. 23. Pandas and Tabular Data Processing/4. Exporting .csv Files.mp4 48MB
  106. 47. Deep Learning Image Classification Portfolio Project/11. Predicting New Data.mp4 48MB
  107. 16. Directory Management/6. Path Formatting.mp4 47MB
  108. 10. Exceptions and Preventing Program Crash/9. Customizing Exceptions.mp4 46MB
  109. 31. Data Preprocessing And Features Engineering/3. One Shot Encoding.mp4 46MB
  110. 29. Starting Data Science Artificial Data/5. Adding Noise To Linear Data.mp4 46MB
  111. 27. Portfolio Project Netflix Recommender Systems Introduction/7. Is It Enough To Count Votes.mp4 46MB
  112. 46. Deep Learning Portfolio Project/4. Project Implementation Part 2.mp4 46MB
  113. 28. OCR and Image To Text Conversion/4. PDF to Image Converter.mp4 46MB
  114. 45. Deep Learning With Artificial Neural Networks/6. Back-propagation.mp4 46MB
  115. 9. Data Storage With Python Dictionaries/3. Dictionary Introduction.mp4 45MB
  116. 23. Pandas and Tabular Data Processing/5. Reading .csv Files.mp4 45MB
  117. 45. Deep Learning With Artificial Neural Networks/8. Building Model.mp4 45MB
  118. 6. Loops and Data Iteration/5. Zip.mp4 45MB
  119. 49. AI Web App Portfolio Project/6. Project Implementation Part 4.mp4 44MB
  120. 35. Linear And Polynomial Regression/8. Training Polynomial Model.mp4 44MB
  121. 29. Starting Data Science Artificial Data/2. Data Intuition.mp4 44MB
  122. 45. Deep Learning With Artificial Neural Networks/12. Predicted Vs Ground Truth.mp4 44MB
  123. 19. Image Processing with OpenCV/10. Binarizing Images.mp4 44MB
  124. 39. t-SNE/3. Implementing TSNE model For Data Visualization.mp4 44MB
  125. 23. Pandas and Tabular Data Processing/10. Renaming Head.mp4 44MB
  126. 16. Directory Management/7. Sub-folders Tree.mp4 43MB
  127. 21. Object Tracking In Video/4. Tracking the Object in Video.mp4 43MB
  128. 24. GUI Apps/4. Let's Create a Form GUI App.mp4 43MB
  129. 2. Strings , Random Number Generators and CLI Game Fun/7. Let's Build a Game!.mp4 43MB
  130. 23. Pandas and Tabular Data Processing/7. Adding Rows.mp4 43MB
  131. 47. Deep Learning Image Classification Portfolio Project/2.1 ANN_Classification.zip 43MB
  132. 45. Deep Learning With Artificial Neural Networks/4. Neuron.mp4 43MB
  133. 15. Introduction To Matplotlib/3. Data Visualaization.mp4 42MB
  134. 41. Random Forests And Decision Trees/3. Data Classification.mp4 42MB
  135. 38. Linear Discriminate Analysis (LDA)/1. Simply Explained.mp4 40MB
  136. 36. K-means and Classification Models/4. Combining PCA and K-means Clustering.mp4 40MB
  137. 17. Building Command Line Applications/4. Manipulating Arguments Passed.mp4 40MB
  138. 48. Artificial Intelligence Web Apps/5. Creating Widgests.mp4 40MB
  139. 42. Reinforcement Machine Learning and Teaching Models/5. Rendering.mp4 40MB
  140. 4. Lists and Bundle Data storage/4. Lists Append & Adding To A Shopping Cart.mp4 40MB
  141. 30. ML Terminologies Easily Explained/3. Data Splitting And Its Importance.mp4 39MB
  142. 45. Deep Learning With Artificial Neural Networks/14. Increasing The Function Order.mp4 39MB
  143. 26. Converting Python To Stand-Alone Software/1. Getting Everything Together.mp4 39MB
  144. 19. Image Processing with OpenCV/19. Masking Intuition.mp4 38MB
  145. 44. NLP Portfolio Project/5. Project Implementation Part 3.mp4 38MB
  146. 45. Deep Learning With Artificial Neural Networks/7. Deep Nets.mp4 38MB
  147. 19. Image Processing with OpenCV/18. Contour Area.mp4 38MB
  148. 13. Decorators and Wrapper Functions/3. Decorating To Create a Function Check-Point.mp4 37MB
  149. 16. Directory Management/4. Adding Directories and Directory Trees.mp4 37MB
  150. 31. Data Preprocessing And Features Engineering/4. Mean Values.mp4 37MB
  151. 45. Deep Learning With Artificial Neural Networks/1. Simply Explained.mp4 37MB
  152. 38. Linear Discriminate Analysis (LDA)/3. Implementing LDA Model.mp4 37MB
  153. 19. Image Processing with OpenCV/3. RGB Color Space.mp4 37MB
  154. 19. Image Processing with OpenCV/20. Masking Binarized Images.mp4 36MB
  155. 33. Gaussian Naive Bayes/7. Evaluating Model Perforamnce.mp4 36MB
  156. 23. Pandas and Tabular Data Processing/3. Creating Data Frames.mp4 36MB
  157. 35. Linear And Polynomial Regression/7. Watching Linear Regression Fail.mp4 36MB
  158. 18. Numpy and Advanced Data structures/10. Random Array Generation.mp4 36MB
  159. 42. Reinforcement Machine Learning and Teaching Models/7. Brute Forcing A Solution Part 2.mp4 36MB
  160. 17. Building Command Line Applications/7. Optional Arguments.mp4 36MB
  161. 44. NLP Portfolio Project/7. Project Implementation Part 5.mp4 36MB
  162. 20. Video Processing/8. Saving Video.mp4 35MB
  163. 32. Seaborn/5. Pair Plots.mp4 35MB
  164. 31. Data Preprocessing And Features Engineering/5. Dealing with missing Data.mp4 35MB
  165. 47. Deep Learning Image Classification Portfolio Project/5. Image Table Format P2.mp4 35MB
  166. 4. Lists and Bundle Data storage/5. List Delete & Removing Items from Shopping Cart.mp4 35MB
  167. 24. GUI Apps/7. Data Holders Part 1.mp4 35MB
  168. 19. Image Processing with OpenCV/12. Numpy Images and OpenCV conversion.mp4 34MB
  169. 27. Portfolio Project Netflix Recommender Systems Introduction/9. Extract Top N series.mp4 34MB
  170. 30. ML Terminologies Easily Explained/1. Features, Dependent and Independent Variables.mp4 34MB
  171. 44. NLP Portfolio Project/3. Project Implementation Part 1.mp4 34MB
  172. 13. Decorators and Wrapper Functions/1. Decorators Intuition.mp4 34MB
  173. 17. Building Command Line Applications/8. Actions.mp4 33MB
  174. 37. Support Vector Machine (SVM)/1. Simply Explained.mp4 33MB
  175. 24. GUI Apps/10. Icons.mp4 33MB
  176. 28. OCR and Image To Text Conversion/11. Modifying Database Part 1.mp4 33MB
  177. 19. Image Processing with OpenCV/16. Drawing Contours.mp4 33MB
  178. 45. Deep Learning With Artificial Neural Networks/2. ANN and Images.mp4 33MB
  179. 27. Portfolio Project Netflix Recommender Systems Introduction/10. Final Touch.mp4 33MB
  180. 37. Support Vector Machine (SVM)/6. Implementing SVM model.mp4 33MB
  181. 25. GUI App Portfolio Project/6. Implementation Part 4.mp4 32MB
  182. 43. Natural Language Processing (NLP) and Text Comprehension/5. Removing Unnecessary Words.mp4 32MB
  183. 32. Seaborn/1. Datasets.mp4 32MB
  184. 24. GUI Apps/9. Menus.mp4 31MB
  185. 10. Exceptions and Preventing Program Crash/8. Priority.mp4 31MB
  186. 23. Pandas and Tabular Data Processing/8. Removing Rows.mp4 31MB
  187. 18. Numpy and Advanced Data structures/4. N-Dimensional Arrays.mp4 31MB
  188. 4. Lists and Bundle Data storage/6. List Empty & Preventing A Shopping Cart Crash.mp4 31MB
  189. 11. Lambda and Built-In Functions/3. Lambda, a Function With no Definition.mp4 31MB
  190. 19. Image Processing with OpenCV/2. Image Processing Intuition.mp4 31MB
  191. 37. Support Vector Machine (SVM)/3. Wrapping Up.mp4 31MB
  192. 4. Lists and Bundle Data storage/9. While Statement and Repeating The Program Forever.mp4 31MB
  193. 21. Object Tracking In Video/3. Initial ROI.mp4 30MB
  194. 24. GUI Apps/12. Fitting Elements.mp4 30MB
  195. 45. Deep Learning With Artificial Neural Networks/10. Training Model.mp4 30MB
  196. 19. Image Processing with OpenCV/4. HSV Color Space.mp4 30MB
  197. 48. Artificial Intelligence Web Apps/10. Adding Plots.mp4 29MB
  198. 40. Hierarchical Clustering/5. Training HC Model.mp4 29MB
  199. 17. Building Command Line Applications/6. External Arguments.mp4 29MB
  200. 6. Loops and Data Iteration/4. Enumeration.mp4 29MB
  201. 19. Image Processing with OpenCV/9. Grayscalling Images.mp4 29MB
  202. 35. Linear And Polynomial Regression/3. Linear Regression Implementation Part 1.mp4 29MB
  203. 29. Starting Data Science Artificial Data/4. Linear Data Generation.mp4 29MB
  204. 20. Video Processing/3. Reading Video.mp4 29MB
  205. 37. Support Vector Machine (SVM)/7. Visual Evaluation.mp4 28MB
  206. 31. Data Preprocessing And Features Engineering/1. Intuition.mp4 28MB
  207. 28. OCR and Image To Text Conversion/5. Exctracting What Is important.mp4 28MB
  208. 48. Artificial Intelligence Web Apps/4. Running The Server.mp4 28MB
  209. 19. Image Processing with OpenCV/14. Contours Intuition.mp4 28MB
  210. 8. Graphical Game Build Your First Ping Pong/1. Window Creation.mp4 28MB
  211. 9. Data Storage With Python Dictionaries/4. Dictionary & Lists as a Mini Database.mp4 27MB
  212. 21. Object Tracking In Video/2. Object Tracking Algorithms.mp4 27MB
  213. 10. Exceptions and Preventing Program Crash/6. What is Finally.mp4 27MB
  214. 48. Artificial Intelligence Web Apps/11. Page Layout.mp4 27MB
  215. 23. Pandas and Tabular Data Processing/12. Built-in Plotting.mp4 27MB
  216. 23. Pandas and Tabular Data Processing/11. Indexing.mp4 27MB
  217. 33. Gaussian Naive Bayes/4. Analyzing Dataset.mp4 27MB
  218. 37. Support Vector Machine (SVM)/8. Metric Evaluation.mp4 27MB
  219. 27. Portfolio Project Netflix Recommender Systems Introduction/4. Building Netflix Series Recommender.mp4 27MB
  220. 45. Deep Learning With Artificial Neural Networks/5. Activation Functions.mp4 26MB
  221. 49. AI Web App Portfolio Project/7. Project Implementation Part 5.mp4 26MB
  222. 29. Starting Data Science Artificial Data/9. Circular Data Generation.mp4 26MB
  223. 18. Numpy and Advanced Data structures/9. Splitting Arrays.mp4 26MB
  224. 32. Seaborn/6. Histograms And KDE.mp4 25MB
  225. 48. Artificial Intelligence Web Apps/7. Getting Widget Value.mp4 25MB
  226. 43. Natural Language Processing (NLP) and Text Comprehension/7. Tagging.mp4 25MB
  227. 18. Numpy and Advanced Data structures/7. Sorting Arrays.mp4 25MB
  228. 42. Reinforcement Machine Learning and Teaching Models/11. Q-Learning Implementation Part 3.mp4 25MB
  229. 24. GUI Apps/5. Buttons And Text Fields.mp4 25MB
  230. 13. Decorators and Wrapper Functions/5. Passing Arguments.mp4 25MB
  231. 42. Reinforcement Machine Learning and Teaching Models/10. Q-Learning Implementation Part 2.mp4 25MB
  232. 40. Hierarchical Clustering/4. Dendograms.mp4 24MB
  233. 2. Strings , Random Number Generators and CLI Game Fun/4. Taking Input from user via Command Line.mp4 24MB
  234. 18. Numpy and Advanced Data structures/11. Changing Array Shape.mp4 24MB
  235. 3. Conditional Statements and Branching/4. IF-ELSE To Which City Can Our Adventurer Go.mp4 24MB
  236. 35. Linear And Polynomial Regression/6. Easily Explained Polynomial Regression.mp4 23MB
  237. 47. Deep Learning Image Classification Portfolio Project/7. Measuring Performance.mp4 23MB
  238. 16. Directory Management/9. Changing Directory in script.mp4 23MB
  239. 47. Deep Learning Image Classification Portfolio Project/12. Saving Model.mp4 23MB
  240. 30. ML Terminologies Easily Explained/4. Cross Validation.mp4 23MB
  241. 2. Strings , Random Number Generators and CLI Game Fun/5. Performing Arithmetic Operation.mp4 22MB
  242. 16. Directory Management/5. Removing Directories and Directory Trees.mp4 22MB
  243. 4. Lists and Bundle Data storage/8. Tuples.mp4 22MB
  244. 48. Artificial Intelligence Web Apps/9. Callbacks.mp4 22MB
  245. 18. Numpy and Advanced Data structures/8. Combining Arrays.mp4 22MB
  246. 35. Linear And Polynomial Regression/1. Easily Explained Linear Regression.mp4 22MB
  247. 9. Data Storage With Python Dictionaries/6. Does this Key Even Exist.mp4 21MB
  248. 41. Random Forests And Decision Trees/6. Importance Matrix.mp4 21MB
  249. 33. Gaussian Naive Bayes/8. Cross Validation.mp4 21MB
  250. 37. Support Vector Machine (SVM)/2. Let's add Few More Details.mp4 21MB
  251. 23. Pandas and Tabular Data Processing/6. Summing Data.mp4 20MB
  252. 19. Image Processing with OpenCV/1. Section Introduction.mp4 20MB
  253. 49. AI Web App Portfolio Project/4. Project Implementation Part 2.mp4 20MB
  254. 41. Random Forests And Decision Trees/7. Evaluating Results.mp4 20MB
  255. 32. Seaborn/4. Data Similarity Visualization.mp4 20MB
  256. 45. Deep Learning With Artificial Neural Networks/11. Plotting Performance.mp4 19MB
  257. 46. Deep Learning Portfolio Project/3. Project Implementation Part 1.mp4 19MB
  258. 16. Directory Management/8. Exploring Directories.mp4 19MB
  259. 1. Installing And Preparing The Environment/2. Installing Environment.mp4 19MB
  260. 24. GUI Apps/8. Data Holders Part 2.mp4 19MB
  261. 28. OCR and Image To Text Conversion/3. Downloading Libraries.mp4 18MB
  262. 24. GUI Apps/11. Text Areas.mp4 18MB
  263. 27. Portfolio Project Netflix Recommender Systems Introduction/1. Section Introduction.mp4 18MB
  264. 10. Exceptions and Preventing Program Crash/7. Collecting Exception Information.mp4 18MB
  265. 27. Portfolio Project Netflix Recommender Systems Introduction/3. Wolrd Of Datasets.mp4 18MB
  266. 2. Strings , Random Number Generators and CLI Game Fun/6. What is a Random Number Generator.mp4 18MB
  267. 14. ReadWrite ZipUnzip Files/5. Unzipping .zip Files.mp4 18MB
  268. 16. Directory Management/1. Section Introduction.mp4 18MB
  269. 33. Gaussian Naive Bayes/9. Confusion Matrix.mp4 18MB
  270. 41. Random Forests And Decision Trees/4. Building Model.mp4 18MB
  271. 16. Directory Management/2. Intuition.mp4 17MB
  272. 20. Video Processing/5. Video Rotation.mp4 17MB
  273. 43. Natural Language Processing (NLP) and Text Comprehension/4. Text Tokenizing.mp4 17MB
  274. 18. Numpy and Advanced Data structures/6. Getting MaxMin Element.mp4 17MB
  275. 19. Image Processing with OpenCV/7. ReadWrite Images .png.jpg.mp4 17MB
  276. 10. Exceptions and Preventing Program Crash/1. Section Introduction.mp4 17MB
  277. 38. Linear Discriminate Analysis (LDA)/4. Visualizing Data.mp4 17MB
  278. 43. Natural Language Processing (NLP) and Text Comprehension/8. Lemmatizing a Text.mp4 17MB
  279. 24. GUI Apps/1. Section Introduction.mp4 17MB
  280. 10. Exceptions and Preventing Program Crash/3. Exceptions.mp4 16MB
  281. 12. Python Object Oriented Programming/1. Section Introduction.mp4 16MB
  282. 17. Building Command Line Applications/1. Command Line Interface Intuition.mp4 16MB
  283. 33. Gaussian Naive Bayes/3. Classifying Marketing Campaign Purchases.mp4 16MB
  284. 23. Pandas and Tabular Data Processing/9. Removing Columns.mp4 16MB
  285. 43. Natural Language Processing (NLP) and Text Comprehension/6. Dealing With Punctuations.mp4 16MB
  286. 14. ReadWrite ZipUnzip Files/6. Zipping Files.mp4 15MB
  287. 38. Linear Discriminate Analysis (LDA)/5. LDA Vs PCA.mp4 15MB
  288. 15. Introduction To Matplotlib/4. Live Trend Animation.mp4 15MB
  289. 22. The Jupyter Notebook/1. How to set it up.mp4 15MB
  290. 19. Image Processing with OpenCV/11. Rotation.mp4 15MB
  291. 35. Linear And Polynomial Regression/4. Linear Regression Implementation Part 2.mp4 15MB
  292. 43. Natural Language Processing (NLP) and Text Comprehension/1. Section Introduction.mp4 15MB
  293. 22. The Jupyter Notebook/2. Shortcuts.mp4 15MB
  294. 10. Exceptions and Preventing Program Crash/5. Multi Exception Statements.mp4 14MB
  295. 6. Loops and Data Iteration/1. Section Introduction.mp4 14MB
  296. 29. Starting Data Science Artificial Data/1. Section Introduction.mp4 14MB
  297. 1. Installing And Preparing The Environment/3. Opening IDE.mp4 14MB
  298. 19. Image Processing with OpenCV/8. Displaying Image in a Window.mp4 14MB
  299. 47. Deep Learning Image Classification Portfolio Project/4. Image Table Format P1.mp4 14MB
  300. 2. Strings , Random Number Generators and CLI Game Fun/1. Section Introduction.mp4 13MB
  301. 33. Gaussian Naive Bayes/10. Predicting New Data.mp4 13MB
  302. 40. Hierarchical Clustering/7. Notes Regarding Scaling.mp4 13MB
  303. 18. Numpy and Advanced Data structures/1. Section Introduction.mp4 12MB
  304. 41. Random Forests And Decision Trees/5. Evaluating Model.mp4 12MB
  305. 43. Natural Language Processing (NLP) and Text Comprehension/2. NPL Intuition.mp4 12MB
  306. 7. Organizing Code With Python Functions/1. Section Introduction.mp4 12MB
  307. 13. Decorators and Wrapper Functions/4. More About Decorators.mp4 12MB
  308. 23. Pandas and Tabular Data Processing/1. Section Introduction.mp4 12MB
  309. 24. GUI Apps/2. Intuition.mp4 11MB
  310. 20. Video Processing/1. Video Processing Intuition.mp4 11MB
  311. 40. Hierarchical Clustering/3. Analyzing Dataset.mp4 11MB
  312. 4. Lists and Bundle Data storage/1. Section Introduction.mp4 10MB
  313. 25. GUI App Portfolio Project/1. Project Overview.mp4 10MB
  314. 26. Converting Python To Stand-Alone Software/2.1 ConvertToEXE.zip 10MB
  315. 35. Linear And Polynomial Regression/5. Extracting Hyper Parameters.mp4 10MB
  316. 9. Data Storage With Python Dictionaries/1. Section Introduction.mp4 10MB
  317. 29. Starting Data Science Artificial Data/7. Polynomial Data Generation.mp4 10MB
  318. 48. Artificial Intelligence Web Apps/6. Sidebars.mp4 10MB
  319. 49. AI Web App Portfolio Project/1. Project Overview.mp4 10MB
  320. 28. OCR and Image To Text Conversion/1. OCR Intuition.mp4 9MB
  321. 11. Lambda and Built-In Functions/1. Section Introduction.mp4 9MB
  322. 17. Building Command Line Applications/5. Argument Types.mp4 9MB
  323. 33. Gaussian Naive Bayes/6. Training Model.mp4 9MB
  324. 29. Starting Data Science Artificial Data/6. Outliers.mp4 9MB
  325. 42. Reinforcement Machine Learning and Teaching Models/1. Section Introduction.mp4 9MB
  326. 46. Deep Learning Portfolio Project/1. Problem Description And Dataset.mp4 9MB
  327. 3. Conditional Statements and Branching/1. Section Introduction.mp4 9MB
  328. 18. Numpy and Advanced Data structures/3. One Dimensional Arrays.mp4 8MB
  329. 20. Video Processing/4. Grayscale Video.mp4 7MB
  330. 48. Artificial Intelligence Web Apps/1. Web Apps Intuition.mp4 6MB
  331. 19. Image Processing with OpenCV/5. Installing Libraries.mp4 6MB
  332. 48. Artificial Intelligence Web Apps/3. Getting Libraries.mp4 5MB
  333. 45. Deep Learning With Artificial Neural Networks/9. Installing Libs.mp4 4MB
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  336. 32. Seaborn/2.1 Seaborn.zip 872KB
  337. 41. Random Forests And Decision Trees/2.1 RandomForests.zip 727KB
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  339. 33. Gaussian Naive Bayes/2.1 GaussianNaiveBayes.zip 385KB
  340. 28. OCR and Image To Text Conversion/2.1 OCR.zip 185KB
  341. 36. K-means and Classification Models/2.1 KmeansClustering.zip 165KB
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  343. 23. Pandas and Tabular Data Processing/2.1 Pandas.zip 141KB
  344. 45. Deep Learning With Artificial Neural Networks/3.1 ANN.zip 140KB
  345. 29. Starting Data Science Artificial Data/3.1 ArtificialDataGeneration.zip 97KB
  346. 35. Linear And Polynomial Regression/2.1 LinearRegression.zip 67KB
  347. 37. Support Vector Machine (SVM)/4.1 SVM.zip 56KB
  348. 40. Hierarchical Clustering/2.1 HC.zip 55KB
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  350. 39. t-SNE/2.1 tSNE.zip 49KB
  351. 42. Reinforcement Machine Learning and Teaching Models/2.1 ReinforcementLearning.zip 36KB
  352. 31. Data Preprocessing And Features Engineering/2.1 DataPreProcessing.zip 31KB
  353. 38. Linear Discriminate Analysis (LDA)/2.1 LDA.zip 31KB
  354. 34. Principal Component Analysis (PCA)/2.1 PCA.zip 28KB
  355. 44. NLP Portfolio Project/2.1 NLP_SpamHamFilter.zip 22KB
  356. 43. Natural Language Processing (NLP) and Text Comprehension/3.1 NLP.zip 14KB
  357. 10. Exceptions and Preventing Program Crash/2.1 Exceptions.zip 12KB
  358. 25. GUI App Portfolio Project/2.1 Resources.zip 11KB
  359. 24. GUI Apps/3.1 GUI.zip 10KB
  360. 49. AI Web App Portfolio Project/2.1 AI_WebApp_Project.zip 10KB
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  362. 16. Directory Management/3.1 DirectoryManagement.zip 3KB
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  368. 6. Loops and Data Iteration/2.1 LoopsAndDataIteration.zip 2KB
  369. 14. ReadWrite ZipUnzip Files/1.1 RWzip.zip 2KB
  370. 12. Python Object Oriented Programming/2.1 OOP.zip 2KB
  371. 2. Strings , Random Number Generators and CLI Game Fun/2.1 StringsAndRandomNumberGenerators.zip 2KB
  372. 15. Introduction To Matplotlib/1.1 Matplotlib.zip 2KB
  373. 9. Data Storage With Python Dictionaries/2.1 Dictionaries.rar 2KB
  374. 3. Conditional Statements and Branching/2.1 Conditional Statements and Branching.zip 2KB
  375. 8. Graphical Game Build Your First Ping Pong/2.1 PingPong.zip 1KB
  376. 7. Organizing Code With Python Functions/2.1 Functions.zip 1KB
  377. 11. Lambda and Built-In Functions/2.1 Built-inFunctions.zip 817B
  378. 5. Finite State Machines In Python/2.1 FiniteStateMachine.zip 548B
  379. 1. Installing And Preparing The Environment/4. Resources Note.html 336B
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  381. 3. Conditional Statements and Branching/2. Resources.html 41B
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  383. 5. Finite State Machines In Python/2. Resources.html 41B
  384. 6. Loops and Data Iteration/2. Resources.html 41B
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  386. 8. Graphical Game Build Your First Ping Pong/2. Resources.html 41B
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  388. 10. Exceptions and Preventing Program Crash/2. Resources.html 41B
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  390. 12. Python Object Oriented Programming/2. Resources.html 41B
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  405. 28. OCR and Image To Text Conversion/2. Resources.html 41B
  406. 29. Starting Data Science Artificial Data/3. Resources.html 41B
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  408. 32. Seaborn/2. Resources.html 41B
  409. 33. Gaussian Naive Bayes/2. Resources.html 41B
  410. 34. Principal Component Analysis (PCA)/2. Resources.html 41B
  411. 35. Linear And Polynomial Regression/2. Resources.html 41B
  412. 36. K-means and Classification Models/2. Resources.html 41B
  413. 37. Support Vector Machine (SVM)/4. Resources.html 41B
  414. 38. Linear Discriminate Analysis (LDA)/2. Resources.html 41B
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  416. 40. Hierarchical Clustering/2. Resources.html 41B
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  418. 42. Reinforcement Machine Learning and Teaching Models/2. Resources.html 41B
  419. 43. Natural Language Processing (NLP) and Text Comprehension/3. Resources.html 41B
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  421. 45. Deep Learning With Artificial Neural Networks/3. Resources.html 41B
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  423. 47. Deep Learning Image Classification Portfolio Project/2. Resources.html 41B
  424. 48. Artificial Intelligence Web Apps/2. Resources.html 41B
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