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

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

磁力链接/BT种子简介

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收录时间：2023-12-19
最近下载：2025-07-21

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文件列表

  • 27. Portfolio Project Netflix Recommender Systems Introduction/11. Converting The Project To Object Oriented Programming Styles.mp4 162.5 MB
  • 12. Python Object Oriented Programming/4. Controlling a Motor With Class Methods and Class Variables.mp4 161.3 MB
  • 28. OCR and Image To Text Conversion/10. Processing.mp4 159.5 MB
  • 27. Portfolio Project Netflix Recommender Systems Introduction/12. Converting To Generic Class.mp4 138.6 MB
  • 33. Gaussian Naive Bayes/1. Simply Explained.mp4 136.8 MB
  • 27. Portfolio Project Netflix Recommender Systems Introduction/5. Data pre-processing.mp4 136.5 MB
  • 25. GUI App Portfolio Project/10. Implementation Part 8.mp4 132.1 MB
  • 34. Principal Component Analysis (PCA)/3. Let's Add Few More Details.mp4 127.1 MB
  • 12. Python Object Oriented Programming/3. Objects & Motor Functions.mp4 124.4 MB
  • 12. Python Object Oriented Programming/6. Super Keyword.mp4 119.9 MB
  • 25. GUI App Portfolio Project/8. Implementation Part 6.mp4 117.1 MB
  • 6. Loops and Data Iteration/3. Saving Code Space By Using FOR loops.mp4 115.0 MB
  • 47. Deep Learning Image Classification Portfolio Project/3. Data Pre-Processing.mp4 114.5 MB
  • 49. AI Web App Portfolio Project/8. Project Implementation Part 6.mp4 105.6 MB
  • 9. Data Storage With Python Dictionaries/8. Iterating a Dictionary.mp4 104.3 MB
  • 6. Loops and Data Iteration/7. Image Coordinates Shift Using For Loop.mp4 102.5 MB
  • 3. Conditional Statements and Branching/6. What is my Grade Letter.mp4 101.1 MB
  • 43. Natural Language Processing (NLP) and Text Comprehension/10. Text Frequency Analysis.mp4 98.3 MB
  • 8. Graphical Game Build Your First Ping Pong/4. Keyboard Commands.mp4 97.2 MB
  • 40. Hierarchical Clustering/1. Simply Explained.mp4 94.0 MB
  • 5. Finite State Machines In Python/1. Introduction To Finite State Machines.mp4 93.6 MB
  • 27. Portfolio Project Netflix Recommender Systems Introduction/8. Weighing Average.mp4 91.8 MB
  • 7. Organizing Code With Python Functions/3. List Entries Using Functions.mp4 91.3 MB
  • 41. Random Forests And Decision Trees/1. Random Forests Simply Explained.mp4 89.8 MB
  • 44. NLP Portfolio Project/6. Project Implementation Part 4.mp4 86.7 MB
  • 28. OCR and Image To Text Conversion/12. Gluing.mp4 85.5 MB
  • 24. GUI Apps/14. Dividing Canvas Part 2.mp4 84.6 MB
  • 14. ReadWrite ZipUnzip Files/4. Reading With Split.mp4 83.2 MB
  • 46. Deep Learning Portfolio Project/5. Project Implementation Part 3.mp4 83.0 MB
  • 49. AI Web App Portfolio Project/3. Project Implementation Part 1.mp4 82.7 MB
  • 7. Organizing Code With Python Functions/4. Global Variables & What Can't My Function See.mp4 82.0 MB
  • 47. Deep Learning Image Classification Portfolio Project/8. Data Augementation.mp4 81.5 MB
  • 9. Data Storage With Python Dictionaries/5. Adding Entries to Dictionary.mp4 80.9 MB
  • 40. Hierarchical Clustering/6. Visual Evaluation.mp4 80.1 MB
  • 28. OCR and Image To Text Conversion/8. Reading Images.mp4 79.2 MB
  • 45. Deep Learning With Artificial Neural Networks/15. Metrics Evaluation.mp4 78.6 MB
  • 11. Lambda and Built-In Functions/4. Map and Filter Built-in Function.mp4 78.2 MB
  • 8. Graphical Game Build Your First Ping Pong/3. Creating Ping Pong Paddles.mp4 78.0 MB
  • 16. Directory Management/10. Bulk Data Rename.mp4 77.4 MB
  • 1. Installing And Preparing The Environment/1. Introduction.mp4 77.1 MB
  • 47. Deep Learning Image Classification Portfolio Project/10. Confusion Matrix.mp4 76.6 MB
  • 32. Seaborn/3. Data Relationships Visualization.mp4 76.3 MB
  • 7. Organizing Code With Python Functions/5. Returning A Value After Function Execution.mp4 74.0 MB
  • 49. AI Web App Portfolio Project/5. Project Implementation Part 3.mp4 73.4 MB
  • 19. Image Processing with OpenCV/17. Extracting Contours.mp4 73.1 MB
  • 42. Reinforcement Machine Learning and Teaching Models/6. Brute Forcing A Solution Part 1.mp4 72.6 MB
  • 23. Pandas and Tabular Data Processing/13. Filtering.mp4 72.3 MB
  • 4. Lists and Bundle Data storage/3. Storing Names-Ages Using Lists.mp4 72.0 MB
  • 39. t-SNE/1. Simply Explained.mp4 71.7 MB
  • 6. Loops and Data Iteration/6. Advanced Loops with List Comprehension.mp4 69.4 MB
  • 3. Conditional Statements and Branching/5. Controlling an RC Toy With ELIF Statement.mp4 69.3 MB
  • 42. Reinforcement Machine Learning and Teaching Models/8. Q-learning Simply Explained.mp4 68.7 MB
  • 25. GUI App Portfolio Project/4. Implementation Part 2.mp4 67.8 MB
  • 47. Deep Learning Image Classification Portfolio Project/6. Building Model.mp4 66.1 MB
  • 36. K-means and Classification Models/5. Predicting New Data.mp4 65.4 MB
  • 46. Deep Learning Portfolio Project/6. Project Implementation Part 4.mp4 65.1 MB
  • 18. Numpy and Advanced Data structures/5. Searching For Elements.mp4 64.9 MB
  • 47. Deep Learning Image Classification Portfolio Project/9. Dropout And More Data.mp4 64.6 MB
  • 49. AI Web App Portfolio Project/10. Project Implementation Part 8.mp4 64.1 MB
  • 44. NLP Portfolio Project/1. Project Intuition.mp4 63.9 MB
  • 14. ReadWrite ZipUnzip Files/2. Reading .txt Files.mp4 63.6 MB
  • 28. OCR and Image To Text Conversion/13. Project Main Function.mp4 63.3 MB
  • 28. OCR and Image To Text Conversion/7. Creating an Invoice Automatic Database Logging.mp4 62.9 MB
  • 34. Principal Component Analysis (PCA)/1. Simply Explained.mp4 62.5 MB
  • 20. Video Processing/7. Modifying Video HSV.mp4 62.5 MB
  • 42. Reinforcement Machine Learning and Teaching Models/3. Problem Statement.mp4 62.3 MB
  • 25. GUI App Portfolio Project/9. Implementation Part 7.mp4 62.0 MB
  • 44. NLP Portfolio Project/8. Project Implementation Part 6.mp4 62.0 MB
  • 16. Directory Management/11. Filtered Search.mp4 61.7 MB
  • 25. GUI App Portfolio Project/3. Implementation Part 1.mp4 61.3 MB
  • 25. GUI App Portfolio Project/7. Implementation Part 5.mp4 61.3 MB
  • 27. Portfolio Project Netflix Recommender Systems Introduction/6. Filtering by Series Genre.mp4 60.3 MB
  • 21. Object Tracking In Video/5. Multiple Object Tracking.mp4 59.6 MB
  • 3. Conditional Statements and Branching/3. How does a Car Utilize The IF Statement.mp4 59.3 MB
  • 20. Video Processing/6. HSV adjusting Algorithm.mp4 58.4 MB
  • 19. Image Processing with OpenCV/13. Stacking Display.mp4 58.2 MB
  • 28. OCR and Image To Text Conversion/6. Text Boxes.mp4 58.1 MB
  • 25. GUI App Portfolio Project/5. Implementation Part 3.mp4 57.4 MB
  • 49. AI Web App Portfolio Project/9. Project Implementation Part 7.mp4 57.3 MB
  • 44. NLP Portfolio Project/4. Project Implementation Part 2.mp4 57.2 MB
  • 45. Deep Learning With Artificial Neural Networks/13. Shallow Or Deep.mp4 56.7 MB
  • 29. Starting Data Science Artificial Data/8. Blobs.mp4 56.6 MB
  • 30. ML Terminologies Easily Explained/2. Supervised Vs Unsupervised.mp4 56.5 MB
  • 36. K-means and Classification Models/1. Simply Explained.mp4 56.3 MB
  • 42. Reinforcement Machine Learning and Teaching Models/9. Q-Learning Implementation Part 1.mp4 55.8 MB
  • 14. ReadWrite ZipUnzip Files/3. Writing .txt Files.mp4 55.4 MB
  • 12. Python Object Oriented Programming/5. Inheritance and Passing On Functionality.mp4 54.8 MB
  • 19. Image Processing with OpenCV/15. Contours Pre-processing.mp4 54.7 MB
  • 48. Artificial Intelligence Web Apps/8. More Widgets Handling.mp4 54.5 MB
  • 36. K-means and Classification Models/3. K-means Clustering Implementation.mp4 54.2 MB
  • 43. Natural Language Processing (NLP) and Text Comprehension/9. Combining Techniques.mp4 53.5 MB
  • 24. GUI Apps/13. Dividing Canvas Part 1.mp4 53.4 MB
  • 17. Building Command Line Applications/3. Creating CLI with Arguments.mp4 53.1 MB
  • 33. Gaussian Naive Bayes/5. Creating and Training Model.mp4 52.7 MB
  • 4. Lists and Bundle Data storage/7. Nested Lists.mp4 52.2 MB
  • 37. Support Vector Machine (SVM)/5. Minst in Action.mp4 52.0 MB
  • 10. Exceptions and Preventing Program Crash/4. Exception Types.mp4 51.2 MB
  • 15. Introduction To Matplotlib/2. Subplots.mp4 51.2 MB
  • 9. Data Storage With Python Dictionaries/7. Deleting From a DicList.mp4 51.1 MB
  • 28. OCR and Image To Text Conversion/9. Coordinate Extraction.mp4 51.0 MB
  • 2. Strings , Random Number Generators and CLI Game Fun/3. Creating Variables in Python.mp4 50.9 MB
  • 34. Principal Component Analysis (PCA)/4. Creating PCA Model For Data Visualization.mp4 50.6 MB
  • 24. GUI Apps/6. Keys.mp4 50.5 MB
  • 47. Deep Learning Image Classification Portfolio Project/1. Classification.mp4 50.3 MB
  • 23. Pandas and Tabular Data Processing/4. Exporting .csv Files.mp4 50.2 MB
  • 47. Deep Learning Image Classification Portfolio Project/11. Predicting New Data.mp4 50.0 MB
  • 16. Directory Management/6. Path Formatting.mp4 49.0 MB
  • 10. Exceptions and Preventing Program Crash/9. Customizing Exceptions.mp4 48.7 MB
  • 31. Data Preprocessing And Features Engineering/3. One Shot Encoding.mp4 48.6 MB
  • 29. Starting Data Science Artificial Data/5. Adding Noise To Linear Data.mp4 48.5 MB
  • 27. Portfolio Project Netflix Recommender Systems Introduction/7. Is It Enough To Count Votes.mp4 48.5 MB
  • 46. Deep Learning Portfolio Project/4. Project Implementation Part 2.mp4 48.3 MB
  • 28. OCR and Image To Text Conversion/4. PDF to Image Converter.mp4 48.3 MB
  • 45. Deep Learning With Artificial Neural Networks/6. Back-propagation.mp4 48.2 MB
  • 9. Data Storage With Python Dictionaries/3. Dictionary Introduction.mp4 47.5 MB
  • 23. Pandas and Tabular Data Processing/5. Reading .csv Files.mp4 47.4 MB
  • 45. Deep Learning With Artificial Neural Networks/8. Building Model.mp4 47.4 MB
  • 6. Loops and Data Iteration/5. Zip.mp4 47.2 MB
  • 49. AI Web App Portfolio Project/6. Project Implementation Part 4.mp4 46.6 MB
  • 35. Linear And Polynomial Regression/8. Training Polynomial Model.mp4 46.6 MB
  • 29. Starting Data Science Artificial Data/2. Data Intuition.mp4 46.4 MB
  • 45. Deep Learning With Artificial Neural Networks/12. Predicted Vs Ground Truth.mp4 46.0 MB
  • 19. Image Processing with OpenCV/10. Binarizing Images.mp4 45.9 MB
  • 39. t-SNE/3. Implementing TSNE model For Data Visualization.mp4 45.8 MB
  • 23. Pandas and Tabular Data Processing/10. Renaming Head.mp4 45.7 MB
  • 16. Directory Management/7. Sub-folders Tree.mp4 45.4 MB
  • 21. Object Tracking In Video/4. Tracking the Object in Video.mp4 45.3 MB
  • 24. GUI Apps/4. Let's Create a Form GUI App.mp4 45.1 MB
  • 2. Strings , Random Number Generators and CLI Game Fun/7. Let's Build a Game!.mp4 45.1 MB
  • 23. Pandas and Tabular Data Processing/7. Adding Rows.mp4 44.9 MB
  • 47. Deep Learning Image Classification Portfolio Project/2.1 ANN_Classification.zip 44.9 MB
  • 45. Deep Learning With Artificial Neural Networks/4. Neuron.mp4 44.8 MB
  • 15. Introduction To Matplotlib/3. Data Visualaization.mp4 44.4 MB
  • 41. Random Forests And Decision Trees/3. Data Classification.mp4 44.4 MB
  • 38. Linear Discriminate Analysis (LDA)/1. Simply Explained.mp4 42.2 MB
  • 36. K-means and Classification Models/4. Combining PCA and K-means Clustering.mp4 42.2 MB
  • 17. Building Command Line Applications/4. Manipulating Arguments Passed.mp4 42.1 MB
  • 48. Artificial Intelligence Web Apps/5. Creating Widgests.mp4 41.9 MB
  • 42. Reinforcement Machine Learning and Teaching Models/5. Rendering.mp4 41.6 MB
  • 4. Lists and Bundle Data storage/4. Lists Append & Adding To A Shopping Cart.mp4 41.4 MB
  • 30. ML Terminologies Easily Explained/3. Data Splitting And Its Importance.mp4 41.4 MB
  • 45. Deep Learning With Artificial Neural Networks/14. Increasing The Function Order.mp4 41.2 MB
  • 26. Converting Python To Stand-Alone Software/1. Getting Everything Together.mp4 40.6 MB
  • 19. Image Processing with OpenCV/19. Masking Intuition.mp4 40.2 MB
  • 44. NLP Portfolio Project/5. Project Implementation Part 3.mp4 39.7 MB
  • 45. Deep Learning With Artificial Neural Networks/7. Deep Nets.mp4 39.5 MB
  • 19. Image Processing with OpenCV/18. Contour Area.mp4 39.4 MB
  • 13. Decorators and Wrapper Functions/3. Decorating To Create a Function Check-Point.mp4 39.3 MB
  • 16. Directory Management/4. Adding Directories and Directory Trees.mp4 39.1 MB
  • 31. Data Preprocessing And Features Engineering/4. Mean Values.mp4 39.1 MB
  • 45. Deep Learning With Artificial Neural Networks/1. Simply Explained.mp4 38.5 MB
  • 38. Linear Discriminate Analysis (LDA)/3. Implementing LDA Model.mp4 38.5 MB
  • 19. Image Processing with OpenCV/3. RGB Color Space.mp4 38.4 MB
  • 19. Image Processing with OpenCV/20. Masking Binarized Images.mp4 37.9 MB
  • 33. Gaussian Naive Bayes/7. Evaluating Model Perforamnce.mp4 37.8 MB
  • 23. Pandas and Tabular Data Processing/3. Creating Data Frames.mp4 37.8 MB
  • 35. Linear And Polynomial Regression/7. Watching Linear Regression Fail.mp4 37.6 MB
  • 18. Numpy and Advanced Data structures/10. Random Array Generation.mp4 37.5 MB
  • 42. Reinforcement Machine Learning and Teaching Models/7. Brute Forcing A Solution Part 2.mp4 37.5 MB
  • 17. Building Command Line Applications/7. Optional Arguments.mp4 37.5 MB
  • 44. NLP Portfolio Project/7. Project Implementation Part 5.mp4 37.2 MB
  • 20. Video Processing/8. Saving Video.mp4 37.1 MB
  • 32. Seaborn/5. Pair Plots.mp4 37.1 MB
  • 31. Data Preprocessing And Features Engineering/5. Dealing with missing Data.mp4 37.0 MB
  • 47. Deep Learning Image Classification Portfolio Project/5. Image Table Format P2.mp4 36.6 MB
  • 4. Lists and Bundle Data storage/5. List Delete & Removing Items from Shopping Cart.mp4 36.5 MB
  • 24. GUI Apps/7. Data Holders Part 1.mp4 36.4 MB
  • 19. Image Processing with OpenCV/12. Numpy Images and OpenCV conversion.mp4 36.1 MB
  • 27. Portfolio Project Netflix Recommender Systems Introduction/9. Extract Top N series.mp4 36.0 MB
  • 30. ML Terminologies Easily Explained/1. Features, Dependent and Independent Variables.mp4 36.0 MB
  • 44. NLP Portfolio Project/3. Project Implementation Part 1.mp4 35.7 MB
  • 13. Decorators and Wrapper Functions/1. Decorators Intuition.mp4 35.4 MB
  • 17. Building Command Line Applications/8. Actions.mp4 35.0 MB
  • 37. Support Vector Machine (SVM)/1. Simply Explained.mp4 35.0 MB
  • 24. GUI Apps/10. Icons.mp4 35.0 MB
  • 28. OCR and Image To Text Conversion/11. Modifying Database Part 1.mp4 34.9 MB
  • 19. Image Processing with OpenCV/16. Drawing Contours.mp4 34.9 MB
  • 45. Deep Learning With Artificial Neural Networks/2. ANN and Images.mp4 34.8 MB
  • 27. Portfolio Project Netflix Recommender Systems Introduction/10. Final Touch.mp4 34.2 MB
  • 37. Support Vector Machine (SVM)/6. Implementing SVM model.mp4 34.1 MB
  • 25. GUI App Portfolio Project/6. Implementation Part 4.mp4 33.9 MB
  • 43. Natural Language Processing (NLP) and Text Comprehension/5. Removing Unnecessary Words.mp4 33.3 MB
  • 32. Seaborn/1. Datasets.mp4 33.1 MB
  • 24. GUI Apps/9. Menus.mp4 32.9 MB
  • 10. Exceptions and Preventing Program Crash/8. Priority.mp4 32.9 MB
  • 23. Pandas and Tabular Data Processing/8. Removing Rows.mp4 32.5 MB
  • 18. Numpy and Advanced Data structures/4. N-Dimensional Arrays.mp4 32.5 MB
  • 4. Lists and Bundle Data storage/6. List Empty & Preventing A Shopping Cart Crash.mp4 32.3 MB
  • 11. Lambda and Built-In Functions/3. Lambda, a Function With no Definition.mp4 32.1 MB
  • 19. Image Processing with OpenCV/2. Image Processing Intuition.mp4 32.1 MB
  • 37. Support Vector Machine (SVM)/3. Wrapping Up.mp4 32.1 MB
  • 4. Lists and Bundle Data storage/9. While Statement and Repeating The Program Forever.mp4 32.0 MB
  • 21. Object Tracking In Video/3. Initial ROI.mp4 31.8 MB
  • 24. GUI Apps/12. Fitting Elements.mp4 31.3 MB
  • 45. Deep Learning With Artificial Neural Networks/10. Training Model.mp4 31.3 MB
  • 19. Image Processing with OpenCV/4. HSV Color Space.mp4 31.2 MB
  • 48. Artificial Intelligence Web Apps/10. Adding Plots.mp4 30.9 MB
  • 40. Hierarchical Clustering/5. Training HC Model.mp4 30.7 MB
  • 17. Building Command Line Applications/6. External Arguments.mp4 30.5 MB
  • 6. Loops and Data Iteration/4. Enumeration.mp4 30.5 MB
  • 19. Image Processing with OpenCV/9. Grayscalling Images.mp4 30.5 MB
  • 35. Linear And Polynomial Regression/3. Linear Regression Implementation Part 1.mp4 30.4 MB
  • 29. Starting Data Science Artificial Data/4. Linear Data Generation.mp4 30.1 MB
  • 20. Video Processing/3. Reading Video.mp4 30.1 MB
  • 37. Support Vector Machine (SVM)/7. Visual Evaluation.mp4 29.8 MB
  • 31. Data Preprocessing And Features Engineering/1. Intuition.mp4 29.5 MB
  • 28. OCR and Image To Text Conversion/5. Exctracting What Is important.mp4 29.3 MB
  • 48. Artificial Intelligence Web Apps/4. Running The Server.mp4 29.2 MB
  • 19. Image Processing with OpenCV/14. Contours Intuition.mp4 29.1 MB
  • 8. Graphical Game Build Your First Ping Pong/1. Window Creation.mp4 28.9 MB
  • 9. Data Storage With Python Dictionaries/4. Dictionary & Lists as a Mini Database.mp4 28.8 MB
  • 21. Object Tracking In Video/2. Object Tracking Algorithms.mp4 28.7 MB
  • 10. Exceptions and Preventing Program Crash/6. What is Finally.mp4 28.6 MB
  • 48. Artificial Intelligence Web Apps/11. Page Layout.mp4 28.6 MB
  • 23. Pandas and Tabular Data Processing/12. Built-in Plotting.mp4 28.4 MB
  • 23. Pandas and Tabular Data Processing/11. Indexing.mp4 28.3 MB
  • 33. Gaussian Naive Bayes/4. Analyzing Dataset.mp4 28.2 MB
  • 37. Support Vector Machine (SVM)/8. Metric Evaluation.mp4 28.1 MB
  • 27. Portfolio Project Netflix Recommender Systems Introduction/4. Building Netflix Series Recommender.mp4 28.0 MB
  • 45. Deep Learning With Artificial Neural Networks/5. Activation Functions.mp4 27.8 MB
  • 49. AI Web App Portfolio Project/7. Project Implementation Part 5.mp4 27.6 MB
  • 29. Starting Data Science Artificial Data/9. Circular Data Generation.mp4 27.2 MB
  • 18. Numpy and Advanced Data structures/9. Splitting Arrays.mp4 26.8 MB
  • 32. Seaborn/6. Histograms And KDE.mp4 26.5 MB
  • 48. Artificial Intelligence Web Apps/7. Getting Widget Value.mp4 26.4 MB
  • 43. Natural Language Processing (NLP) and Text Comprehension/7. Tagging.mp4 26.3 MB
  • 18. Numpy and Advanced Data structures/7. Sorting Arrays.mp4 26.2 MB
  • 42. Reinforcement Machine Learning and Teaching Models/11. Q-Learning Implementation Part 3.mp4 26.1 MB
  • 24. GUI Apps/5. Buttons And Text Fields.mp4 25.7 MB
  • 13. Decorators and Wrapper Functions/5. Passing Arguments.mp4 25.7 MB
  • 42. Reinforcement Machine Learning and Teaching Models/10. Q-Learning Implementation Part 2.mp4 25.7 MB
  • 40. Hierarchical Clustering/4. Dendograms.mp4 25.4 MB
  • 2. Strings , Random Number Generators and CLI Game Fun/4. Taking Input from user via Command Line.mp4 25.3 MB
  • 18. Numpy and Advanced Data structures/11. Changing Array Shape.mp4 25.2 MB
  • 3. Conditional Statements and Branching/4. IF-ELSE To Which City Can Our Adventurer Go.mp4 25.2 MB
  • 35. Linear And Polynomial Regression/6. Easily Explained Polynomial Regression.mp4 24.2 MB
  • 47. Deep Learning Image Classification Portfolio Project/7. Measuring Performance.mp4 24.0 MB
  • 16. Directory Management/9. Changing Directory in script.mp4 23.9 MB
  • 47. Deep Learning Image Classification Portfolio Project/12. Saving Model.mp4 23.8 MB
  • 30. ML Terminologies Easily Explained/4. Cross Validation.mp4 23.8 MB
  • 2. Strings , Random Number Generators and CLI Game Fun/5. Performing Arithmetic Operation.mp4 23.3 MB
  • 16. Directory Management/5. Removing Directories and Directory Trees.mp4 23.0 MB
  • 4. Lists and Bundle Data storage/8. Tuples.mp4 22.9 MB
  • 48. Artificial Intelligence Web Apps/9. Callbacks.mp4 22.8 MB
  • 18. Numpy and Advanced Data structures/8. Combining Arrays.mp4 22.7 MB
  • 35. Linear And Polynomial Regression/1. Easily Explained Linear Regression.mp4 22.7 MB
  • 9. Data Storage With Python Dictionaries/6. Does this Key Even Exist.mp4 22.4 MB
  • 41. Random Forests And Decision Trees/6. Importance Matrix.mp4 22.0 MB
  • 33. Gaussian Naive Bayes/8. Cross Validation.mp4 21.9 MB
  • 37. Support Vector Machine (SVM)/2. Let's add Few More Details.mp4 21.8 MB
  • 23. Pandas and Tabular Data Processing/6. Summing Data.mp4 21.4 MB
  • 19. Image Processing with OpenCV/1. Section Introduction.mp4 21.4 MB
  • 49. AI Web App Portfolio Project/4. Project Implementation Part 2.mp4 20.9 MB
  • 41. Random Forests And Decision Trees/7. Evaluating Results.mp4 20.6 MB
  • 32. Seaborn/4. Data Similarity Visualization.mp4 20.5 MB
  • 45. Deep Learning With Artificial Neural Networks/11. Plotting Performance.mp4 20.3 MB
  • 46. Deep Learning Portfolio Project/3. Project Implementation Part 1.mp4 20.0 MB
  • 16. Directory Management/8. Exploring Directories.mp4 19.9 MB
  • 1. Installing And Preparing The Environment/2. Installing Environment.mp4 19.6 MB
  • 24. GUI Apps/8. Data Holders Part 2.mp4 19.6 MB
  • 28. OCR and Image To Text Conversion/3. Downloading Libraries.mp4 19.3 MB
  • 24. GUI Apps/11. Text Areas.mp4 19.2 MB
  • 27. Portfolio Project Netflix Recommender Systems Introduction/1. Section Introduction.mp4 19.2 MB
  • 10. Exceptions and Preventing Program Crash/7. Collecting Exception Information.mp4 19.1 MB
  • 27. Portfolio Project Netflix Recommender Systems Introduction/3. Wolrd Of Datasets.mp4 18.8 MB
  • 2. Strings , Random Number Generators and CLI Game Fun/6. What is a Random Number Generator.mp4 18.7 MB
  • 14. ReadWrite ZipUnzip Files/5. Unzipping .zip Files.mp4 18.6 MB
  • 16. Directory Management/1. Section Introduction.mp4 18.5 MB
  • 33. Gaussian Naive Bayes/9. Confusion Matrix.mp4 18.5 MB
  • 41. Random Forests And Decision Trees/4. Building Model.mp4 18.5 MB
  • 16. Directory Management/2. Intuition.mp4 18.0 MB
  • 20. Video Processing/5. Video Rotation.mp4 18.0 MB
  • 43. Natural Language Processing (NLP) and Text Comprehension/4. Text Tokenizing.mp4 18.0 MB
  • 18. Numpy and Advanced Data structures/6. Getting MaxMin Element.mp4 18.0 MB
  • 19. Image Processing with OpenCV/7. ReadWrite Images .png.jpg.mp4 18.0 MB
  • 10. Exceptions and Preventing Program Crash/1. Section Introduction.mp4 17.9 MB
  • 38. Linear Discriminate Analysis (LDA)/4. Visualizing Data.mp4 17.7 MB
  • 43. Natural Language Processing (NLP) and Text Comprehension/8. Lemmatizing a Text.mp4 17.6 MB
  • 24. GUI Apps/1. Section Introduction.mp4 17.3 MB
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