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Python The Ultimate Course 2023 - Everything You'll Ever Need
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[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need (Size: 13.67 GB) (Files: 760)
[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need
27. Portfolio Project Netflix Recommender Systems Introduction
11. Converting The Project To Object Oriented Programming Styles.mp4
2.1 NetflixRecommenderSystem.zip
2. Resources.html
12. Converting To Generic Class.mp4
5. Data pre-processing.mp4
8. Weighing Average.mp4
6. Filtering by Series Genre.mp4
7. Is It Enough To Count Votes.mp4
9. Extract Top N series.mp4
10. Final Touch.mp4
4. Building Netflix Series Recommender.mp4
1. Section Introduction.mp4
3. Wolrd Of Datasets.mp4
32. Seaborn
2.1 Seaborn.zip
2. Resources.html
3. Data Relationships Visualization.mp4
5. Pair Plots.mp4
1. Datasets.mp4
6. Histograms And KDE.mp4
4. Data Similarity Visualization.mp4
28. OCR and Image To Text Conversion
2.1 OCR.zip
10. Processing.mp4
2. Resources.html
12. Gluing.mp4
8. Reading Images.mp4
13. Project Main Function.mp4
7. Creating an Invoice Automatic Database Logging.mp4
6. Text Boxes.mp4
9. Coordinate Extraction.mp4
4. PDF to Image Converter.mp4
11. Modifying Database Part 1.mp4
5. Exctracting What Is important.mp4
3. Downloading Libraries.mp4
1. OCR Intuition.mp4
16. Directory Management
3.1 DirectoryManagement.zip
3. Resources.html
10. Bulk Data Rename.mp4
11. Filtered Search.mp4
6. Path Formatting.mp4
7. Sub-folders Tree.mp4
4. Adding Directories and Directory Trees.mp4
9. Changing Directory in script.mp4
5. Removing Directories and Directory Trees.mp4
8. Exploring Directories.mp4
1. Section Introduction.mp4
2. Intuition.mp4
1. Installing And Preparing The Environment
4. Resources Note.html
1. Introduction.mp4
2. Installing Environment.mp4
3. Opening IDE.mp4
11. Lambda and Built-In Functions
2.1 Built-inFunctions.zip
2. Resources.html
4. Map and Filter Built-in Function.mp4
3. Lambda, a Function With no Definition.mp4
1. Section Introduction.mp4
2. Strings , Random Number Generators and CLI Game Fun
2. Resources.html
2.1 StringsAndRandomNumberGenerators.zip
3. Creating Variables in Python.mp4
7. Let's Build a Game!.mp4
4. Taking Input from user via Command Line.mp4
5. Performing Arithmetic Operation.mp4
6. What is a Random Number Generator.mp4
1. Section Introduction.mp4
41. Random Forests And Decision Trees
2.1 RandomForests.zip
2. Resources.html
1. Random Forests Simply Explained.mp4
3. Data Classification.mp4
6. Importance Matrix.mp4
7. Evaluating Results.mp4
4. Building Model.mp4
5. Evaluating Model.mp4
21. Object Tracking In Video
1.1 ObjectTracking.zip
1. Resources.html
5. Multiple Object Tracking.mp4
4. Tracking the Object in Video.mp4
3. Initial ROI.mp4
2. Object Tracking Algorithms.mp4
5. Finite State Machines In Python
2.1 FiniteStateMachine.zip
2. Resources.html
1. Introduction To Finite State Machines.mp4
12. Python Object Oriented Programming
4. Controlling a Motor With Class Methods and Class Variables.mp4
2.1 OOP.zip
2. Resources.html
3. Objects & Motor Functions.mp4
6. Super Keyword.mp4
5. Inheritance and Passing On Functionality.mp4
1. Section Introduction.mp4
3. Conditional Statements and Branching
2.1 Conditional Statements and Branching.zip
2. Resources.html
6. What is my Grade Letter.mp4
5. Controlling an RC Toy With ELIF Statement.mp4
3. How does a Car Utilize The IF Statement.mp4
4. IF-ELSE To Which City Can Our Adventurer Go.mp4
1. Section Introduction.mp4
36. K-means and Classification Models
2.1 KmeansClustering.zip
2. Resources.html
5. Predicting New Data.mp4
1. Simply Explained.mp4
3. K-means Clustering Implementation.mp4
4. Combining PCA and K-means Clustering.mp4
31. Data Preprocessing And Features Engineering
2.1 DataPreProcessing.zip
2. Resources.html
3. One Shot Encoding.mp4
4. Mean Values.mp4
5. Dealing with missing Data.mp4
1. Intuition.mp4
15. Introduction To Matplotlib
1.1 Matplotlib.zip
1. Resources.html
2. Subplots.mp4
3. Data Visualaization.mp4
4. Live Trend Animation.mp4
4. Lists and Bundle Data storage
2. Resources.html
2.1 ListAndDataStorage.zip
3. Storing Names-Ages Using Lists.mp4
7. Nested Lists.mp4
4. Lists Append & Adding To A Shopping Cart.mp4
5. List Delete & Removing Items from Shopping Cart.mp4
6. List Empty & Preventing A Shopping Cart Crash.mp4
9. While Statement and Repeating The Program Forever.mp4
8. Tuples.mp4
1. Section Introduction.mp4
46. Deep Learning Portfolio Project
2.1 ANN_Project.zip
2. Resources.html
5. Project Implementation Part 3.mp4
6. Project Implementation Part 4.mp4
4. Project Implementation Part 2.mp4
3. Project Implementation Part 1.mp4
1. Problem Description And Dataset.mp4
33. Gaussian Naive Bayes
2.1 GaussianNaiveBayes.zip
2. Resources.html
1. Simply Explained.mp4
5. Creating and Training Model.mp4
7. Evaluating Model Perforamnce.mp4
4. Analyzing Dataset.mp4
8. Cross Validation.mp4
9. Confusion Matrix.mp4
3. Classifying Marketing Campaign Purchases.mp4
10. Predicting New Data.mp4
6. Training Model.mp4
23. Pandas and Tabular Data Processing
2.1 Pandas.zip
2. Resources.html
13. Filtering.mp4
4. Exporting .csv Files.mp4
5. Reading .csv Files.mp4
10. Renaming Head.mp4
7. Adding Rows.mp4
3. Creating Data Frames.mp4
8. Removing Rows.mp4
12. Built-in Plotting.mp4
11. Indexing.mp4
6. Summing Data.mp4
9. Removing Columns.mp4
1. Section Introduction.mp4
45. Deep Learning With Artificial Neural Networks
3.1 ANN.zip
3. Resources.html
15. Metrics Evaluation.mp4
13. Shallow Or Deep.mp4
6. Back-propagation.mp4
8. Building Model.mp4
12. Predicted Vs Ground Truth.mp4
4. Neuron.mp4
14. Increasing The Function Order.mp4
7. Deep Nets.mp4
1. Simply Explained.mp4
2. ANN and Images.mp4
10. Training Model.mp4
5. Activation Functions.mp4
11. Plotting Performance.mp4
9. Installing Libs.mp4
29. Starting Data Science Artificial Data
3.1 ArtificialDataGeneration.zip
3. Resources.html
8. Blobs.mp4
5. Adding Noise To Linear Data.mp4
2. Data Intuition.mp4
4. Linear Data Generation.mp4
9. Circular Data Generation.mp4
1. Section Introduction.mp4
7. Polynomial Data Generation.mp4
6. Outliers.mp4
35. Linear And Polynomial Regression
2.1 LinearRegression.zip
2. Resources.html
8. Training Polynomial Model.mp4
7. Watching Linear Regression Fail.mp4
3. Linear Regression Implementation Part 1.mp4
6. Easily Explained Polynomial Regression.mp4
1. Easily Explained Linear Regression.mp4
4. Linear Regression Implementation Part 2.mp4
5. Extracting Hyper Parameters.mp4
37. Support Vector Machine (SVM)
4.1 SVM.zip
4. Resources.html
5. Minst in Action.mp4
1. Simply Explained.mp4
6. Implementing SVM model.mp4
3. Wrapping Up.mp4
7. Visual Evaluation.mp4
8. Metric Evaluation.mp4
2. Let's add Few More Details.mp4
40. Hierarchical Clustering
2.1 HC.zip
2. Resources.html
1. Simply Explained.mp4
6. Visual Evaluation.mp4
5. Training HC Model.mp4
4. Dendograms.mp4
7. Notes Regarding Scaling.mp4
3. Analyzing Dataset.mp4
20. Video Processing
2.1 VideoProcessing.zip
2. Resources.html
7. Modifying Video HSV.mp4
6. HSV adjusting Algorithm.mp4
8. Saving Video.mp4
3. Reading Video.mp4
5. Video Rotation.mp4
1. Video Processing Intuition.mp4
4. Grayscale Video.mp4
39. t-SNE
2.1 tSNE.zip
2. Resources.html
1. Simply Explained.mp4
3. Implementing TSNE model For Data Visualization.mp4
6. Loops and Data Iteration
2. Resources.html
2.1 LoopsAndDataIteration.zip
3. Saving Code Space By Using FOR loops.mp4
7. Image Coordinates Shift Using For Loop.mp4
6. Advanced Loops with List Comprehension.mp4
5. Zip.mp4
4. Enumeration.mp4
1. Section Introduction.mp4
42. Reinforcement Machine Learning and Teaching Models
2.1 ReinforcementLearning.zip
2. Resources.html
6. Brute Forcing A Solution Part 1.mp4
8. Q-learning Simply Explained.mp4
3. Problem Statement.mp4
9. Q-Learning Implementation Part 1.mp4
5. Rendering.mp4
7. Brute Forcing A Solution Part 2.mp4
11. Q-Learning Implementation Part 3.mp4
10. Q-Learning Implementation Part 2.mp4
1. Section Introduction.mp4
4. Downloading Libraries.mp4
38. Linear Discriminate Analysis (LDA)
2.1 LDA.zip
2. Resources.html
1. Simply Explained.mp4
3. Implementing LDA Model.mp4
4. Visualizing Data.mp4
5. LDA Vs PCA.mp4
34. Principal Component Analysis (PCA)
2.1 PCA.zip
2. Resources.html
3. Let's Add Few More Details.mp4
1. Simply Explained.mp4
4. Creating PCA Model For Data Visualization.mp4
44. NLP Portfolio Project
2.1 NLP_SpamHamFilter.zip
2. Resources.html
6. Project Implementation Part 4.mp4
1. Project Intuition.mp4
8. Project Implementation Part 6.mp4
4. Project Implementation Part 2.mp4
5. Project Implementation Part 3.mp4
7. Project Implementation Part 5.mp4
3. Project Implementation Part 1.mp4
43. Natural Language Processing (NLP) and Text Comprehension
3.1 NLP.zip
3. Resources.html
10. Text Frequency Analysis.mp4
9. Combining Techniques.mp4
5. Removing Unnecessary Words.mp4
7. Tagging.mp4
4. Text Tokenizing.mp4
8. Lemmatizing a Text.mp4
6. Dealing With Punctuations.mp4
1. Section Introduction.mp4
2. NPL Intuition.mp4
10. Exceptions and Preventing Program Crash
2.1 Exceptions.zip
2. Resources.html
4. Exception Types.mp4
9. Customizing Exceptions.mp4
8. Priority.mp4
6. What is Finally.mp4
7. Collecting Exception Information.mp4
1. Section Introduction.mp4
3. Exceptions.mp4
5. Multi Exception Statements.mp4
7. Organizing Code With Python Functions
2. Resources.html
2.1 Functions.zip
3. List Entries Using Functions.mp4
4. Global Variables & What Can't My Function See.mp4
5. Returning A Value After Function Execution.mp4
1. Section Introduction.mp4
25. GUI App Portfolio Project
2.1 Resources.zip
2. Resources.html
10. Implementation Part 8.mp4
8. Implementation Part 6.mp4
4. Implementation Part 2.mp4
9. Implementation Part 7.mp4
3. Implementation Part 1.mp4
7. Implementation Part 5.mp4
5. Implementation Part 3.mp4
6. Implementation Part 4.mp4
1. Project Overview.mp4
24. GUI Apps
3.1 GUI.zip
3. Resources.html
14. Dividing Canvas Part 2.mp4
13. Dividing Canvas Part 1.mp4
6. Keys.mp4
4. Let's Create a Form GUI App.mp4
7. Data Holders Part 1.mp4
10. Icons.mp4
9. Menus.mp4
12. Fitting Elements.mp4
5. Buttons And Text Fields.mp4
8. Data Holders Part 2.mp4
11. Text Areas.mp4
1. Section Introduction.mp4
2. Intuition.mp4
49. AI Web App Portfolio Project
2.1 AI_WebApp_Project.zip
2. Resources.html
8. Project Implementation Part 6.mp4
3. Project Implementation Part 1.mp4
5. Project Implementation Part 3.mp4
10. Project Implementation Part 8.mp4
9. Project Implementation Part 7.mp4
6. Project Implementation Part 4.mp4
7. Project Implementation Part 5.mp4
4. Project Implementation Part 2.mp4
1. Project Overview.mp4
19. Image Processing with OpenCV
6.1 OpenCV.zip
6. Resources.html
17. Extracting Contours.mp4
13. Stacking Display.mp4
15. Contours Pre-processing.mp4
10. Binarizing Images.mp4
19. Masking Intuition.mp4
18. Contour Area.mp4
3. RGB Color Space.mp4
20. Masking Binarized Images.mp4
12. Numpy Images and OpenCV conversion.mp4
16. Drawing Contours.mp4
2. Image Processing Intuition.mp4
4. HSV Color Space.mp4
9. Grayscalling Images.mp4
14. Contours Intuition.mp4
1. Section Introduction.mp4
7. ReadWrite Images .png.jpg.mp4
11. Rotation.mp4
8. Displaying Image in a Window.mp4
5. Installing Libraries.mp4
8. Graphical Game Build Your First Ping Pong
2. Resources.html
2.1 PingPong.zip
4. Keyboard Commands.mp4
3. Creating Ping Pong Paddles.mp4
1. Window Creation.mp4
18. Numpy and Advanced Data structures
2.1 Numpy.zip
2. Resources.html
5. Searching For Elements.mp4
10. Random Array Generation.mp4
4. N-Dimensional Arrays.mp4
9. Splitting Arrays.mp4
7. Sorting Arrays.mp4
11. Changing Array Shape.mp4
8. Combining Arrays.mp4
6. Getting MaxMin Element.mp4
1. Section Introduction.mp4
3. One Dimensional Arrays.mp4
13. Decorators and Wrapper Functions
2.1 Decorators.zip
2. Resources.html
3. Decorating To Create a Function Check-Point.mp4
1. Decorators Intuition.mp4
5. Passing Arguments.mp4
4. More About Decorators.mp4
17. Building Command Line Applications
2.1 CLI.zip
2. Resources.html
3. Creating CLI with Arguments.mp4
4. Manipulating Arguments Passed.mp4
7. Optional Arguments.mp4
8. Actions.mp4
6. External Arguments.mp4
1. Command Line Interface Intuition.mp4
5. Argument Types.mp4
9. Data Storage With Python Dictionaries
2. Resources.html
2.1 Dictionaries.rar
8. Iterating a Dictionary.mp4
5. Adding Entries to Dictionary.mp4
7. Deleting From a DicList.mp4
3. Dictionary Introduction.mp4
4. Dictionary & Lists as a Mini Database.mp4
6. Does this Key Even Exist.mp4
1. Section Introduction.mp4
48. Artificial Intelligence Web Apps
2.1 AI_WebApps.zip
2. Resources.html
8. More Widgets Handling.mp4
5. Creating Widgests.mp4
10. Adding Plots.mp4
4. Running The Server.mp4
11. Page Layout.mp4
7. Getting Widget Value.mp4
9. Callbacks.mp4
6. Sidebars.mp4
1. Web Apps Intuition.mp4
3. Getting Libraries.mp4
14. ReadWrite ZipUnzip Files
1.1 RWzip.zip
1. Resources.html
4. Reading With Split.mp4
2. Reading .txt Files.mp4
3. Writing .txt Files.mp4
5. Unzipping .zip Files.mp4
6. Zipping Files.mp4
26. Converting Python To Stand-Alone Software
2. Resources.html
1. Getting Everything Together.mp4
2.1 ConvertToEXE.zip
47. Deep Learning Image Classification Portfolio Project
2. Resources.html
3. Data Pre-Processing.mp4
8. Data Augementation.mp4
10. Confusion Matrix.mp4
6. Building Model.mp4
9. Dropout And More Data.mp4
1. Classification.mp4
11. Predicting New Data.mp4
2.1 ANN_Classification.zip
5. Image Table Format P2.mp4
7. Measuring Performance.mp4
12. Saving Model.mp4
4. Image Table Format P1.mp4
30. ML Terminologies Easily Explained
2. Supervised Vs Unsupervised.mp4
3. Data Splitting And Its Importance.mp4
1. Features, Dependent and Independent Variables.mp4
4. Cross Validation.mp4
22. The Jupyter Notebook
1. How to set it up.mp4
2. Shortcuts.mp4
TutsNode.net.txt
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