Torrent Info
Title Udemy - Python The Ultimate Course 2023 - Everything You'll Ever Need
Category
Size 13.34GB

Files List
Please note that this page does not hosts or makes available any of the listed filenames. You cannot download any of those files from here.
1.1 Matplotlib.zip 1.58KB
1.1 ObjectTracking.zip 142.73KB
1.1 RWzip.zip 1.85KB
1. Classification.mp4 48.00MB
1. Command Line Interface Intuition.mp4 16.25MB
1. Datasets.mp4 31.52MB
1. Decorators Intuition.mp4 33.73MB
1. Easily Explained Linear Regression.mp4 21.64MB
1. Features, Dependent and Independent Variables.mp4 34.30MB
1. Getting Everything Together.mp4 38.72MB
1. How to set it up.mp4 15.08MB
1. Introduction.mp4 73.55MB
1. Introduction To Finite State Machines.mp4 89.23MB
1. Intuition.mp4 28.16MB
1. OCR Intuition.mp4 9.50MB
1. Problem Description And Dataset.mp4 8.71MB
1. Project Intuition.mp4 60.97MB
1. Project Overview.mp4 10.35MB
1. Project Overview.mp4 9.62MB
1. Random Forests Simply Explained.mp4 85.69MB
1. Resources.html 41B
1. Resources.html 41B
1. Resources.html 41B
1. Section Introduction.mp4 13.03MB
1. Section Introduction.mp4 8.59MB
1. Section Introduction.mp4 10.36MB
1. Section Introduction.mp4 14.06MB
1. Section Introduction.mp4 11.61MB
1. Section Introduction.mp4 10.04MB
1. Section Introduction.mp4 17.06MB
1. Section Introduction.mp4 9.43MB
1. Section Introduction.mp4 16.38MB
1. Section Introduction.mp4 17.64MB
1. Section Introduction.mp4 12.43MB
1. Section Introduction.mp4 20.37MB
1. Section Introduction.mp4 11.52MB
1. Section Introduction.mp4 16.50MB
1. Section Introduction.mp4 18.29MB
1. Section Introduction.mp4 14.06MB
1. Section Introduction.mp4 9.10MB
1. Section Introduction.mp4 14.86MB
1. Simply Explained.mp4 130.50MB
1. Simply Explained.mp4 59.64MB
1. Simply Explained.mp4 53.69MB
1. Simply Explained.mp4 33.40MB
1. Simply Explained.mp4 40.28MB
1. Simply Explained.mp4 68.35MB
1. Simply Explained.mp4 89.68MB
1. Simply Explained.mp4 36.75MB
1. Video Processing Intuition.mp4 11.29MB
1. Web Apps Intuition.mp4 6.43MB
1. Window Creation.mp4 27.58MB
10. Adding Plots.mp4 29.42MB
10. Binarizing Images.mp4 43.79MB
10. Bulk Data Rename.mp4 73.81MB
10. Confusion Matrix.mp4 73.02MB
10. Final Touch.mp4 32.65MB
10. Icons.mp4 33.38MB
10. Implementation Part 8.mp4 126.00MB
10. Predicting New Data.mp4 12.90MB
10. Processing.mp4 152.16MB
10. Project Implementation Part 8.mp4 61.14MB
10. Q-Learning Implementation Part 2.mp4 24.54MB
10. Random Array Generation.mp4 35.77MB
10. Renaming Head.mp4 43.59MB
10. Text Frequency Analysis.mp4 93.79MB
10. Training Model.mp4 29.83MB
11. Changing Array Shape.mp4 24.04MB
11. Converting The Project To Object Oriented Programming Styles.mp4 154.96MB
11. Filtered Search.mp4 58.88MB
11. Indexing.mp4 27.02MB
11. Modifying Database Part 1.mp4 33.32MB
11. Page Layout.mp4 27.28MB
11. Plotting Performance.mp4 19.37MB
11. Predicting New Data.mp4 47.71MB
11. Q-Learning Implementation Part 3.mp4 24.86MB
11. Rotation.mp4 15.07MB
11. Text Areas.mp4 18.31MB
12. Built-in Plotting.mp4 27.04MB
12. Converting To Generic Class.mp4 132.17MB
12. Fitting Elements.mp4 29.87MB
12. Gluing.mp4 81.51MB
12. Numpy Images and OpenCV conversion.mp4 34.47MB
12. Predicted Vs Ground Truth.mp4 43.91MB
12. Saving Model.mp4 22.68MB
13. Dividing Canvas Part 1.mp4 50.94MB
13. Filtering.mp4 68.96MB
13. Project Main Function.mp4 60.33MB
13. Shallow Or Deep.mp4 54.12MB
13. Stacking Display.mp4 55.49MB
14. Contours Intuition.mp4 27.79MB
14. Dividing Canvas Part 2.mp4 80.65MB
14. Increasing The Function Order.mp4 39.30MB
15. Contours Pre-processing.mp4 52.14MB
15. Metrics Evaluation.mp4 74.94MB
16. Drawing Contours.mp4 33.32MB
17. Extracting Contours.mp4 69.71MB
18. Contour Area.mp4 37.57MB
19. Masking Intuition.mp4 38.30MB
2.1 AI_WebApp_Project.zip 9.87KB
2.1 AI_WebApps.zip 2.77KB
2.1 ANN_Classification.zip 42.83MB
2.1 ANN_Project.zip 435.68KB
2.1 Built-inFunctions.zip 817B
2.1 CLI.zip 2.86KB
2.1 Conditional Statements and Branching.zip 1.54KB
2.1 ConvertToEXE.zip 10.26MB
2.1 DataPreProcessing.zip 31.47KB
2.1 Decorators.zip 3.04KB
2.1 Dictionaries.rar 1.55KB
2.1 Exceptions.zip 12.09KB
2.1 FiniteStateMachine.zip 548B
2.1 Functions.zip 1.18KB
2.1 GaussianNaiveBayes.zip 385.07KB
2.1 HC.zip 54.87KB
2.1 KmeansClustering.zip 164.51KB
2.1 LDA.zip 31.07KB
2.1 LinearRegression.zip 66.88KB
2.1 ListAndDataStorage.zip 2.38KB
2.1 LoopsAndDataIteration.zip 1.93KB
2.1 NetflixRecommenderSystem.zip 1.15MB
2.1 NLP_SpamHamFilter.zip 22.16KB
2.1 Numpy.zip 3.08KB
2.1 OCR.zip 185.14KB
2.1 OOP.zip 1.84KB
2.1 Pandas.zip 141.19KB
2.1 PCA.zip 28.08KB
2.1 PingPong.zip 1.22KB
2.1 RandomForests.zip 727.02KB
2.1 ReinforcementLearning.zip 36.00KB
2.1 Resources.zip 10.76KB
2.1 Seaborn.zip 871.78KB
2.1 StringsAndRandomNumberGenerators.zip 1.73KB
2.1 tSNE.zip 48.67KB
2.1 VideoProcessing.zip 53.34KB
2. ANN and Images.mp4 33.16MB
2. Data Intuition.mp4 44.22MB
2. Image Processing Intuition.mp4 30.65MB
2. Installing Environment.mp4 18.72MB
2. Intuition.mp4 17.20MB
2. Intuition.mp4 11.47MB
2. Let's add Few More Details.mp4 20.84MB
2. NPL Intuition.mp4 12.04MB
2. Object Tracking Algorithms.mp4 27.38MB
2. Reading .txt Files.mp4 60.68MB
2. Resources.html 52B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Resources.html 41B
2. Shortcuts.mp4 14.64MB
2. Subplots.mp4 48.81MB
2. Supervised Vs Unsupervised.mp4 53.90MB
20. Masking Binarized Images.mp4 36.16MB
3.1 ANN.zip 140.01KB
3.1 ArtificialDataGeneration.zip 96.87KB
3.1 DirectoryManagement.zip 3.13KB
3.1 GUI.zip 10.10KB
3.1 NLP.zip 13.96KB
3. Analyzing Dataset.mp4 10.75MB
3. Classifying Marketing Campaign Purchases.mp4 15.78MB
3. Creating CLI with Arguments.mp4 50.67MB
3. Creating Data Frames.mp4 36.01MB
3. Creating Ping Pong Paddles.mp4 74.39MB
3. Creating Variables in Python.mp4 48.59MB
3. Data Classification.mp4 42.30MB
3. Data Pre-Processing.mp4 109.15MB
3. Data Relationships Visualization.mp4 72.74MB
3. Data Splitting And Its Importance.mp4 39.44MB
3. Data Visualaization.mp4 42.35MB
3. Decorating To Create a Function Check-Point.mp4 37.45MB
3. Dictionary Introduction.mp4 45.31MB
3. Downloading Libraries.mp4 18.44MB
3. Exceptions.mp4 16.44MB
3. Getting Libraries.mp4 4.61MB
3. How does a Car Utilize The IF Statement.mp4 56.55MB
3. Implementation Part 1.mp4 58.47MB
3. Implementing LDA Model.mp4 36.72MB
3. Implementing TSNE model For Data Visualization.mp4 43.69MB
3. Initial ROI.mp4 30.35MB
3. K-means Clustering Implementation.mp4 51.73MB
3. Lambda, a Function With no Definition.mp4 30.65MB
3. Let's Add Few More Details.mp4 121.19MB
3. Linear Regression Implementation Part 1.mp4 28.99MB
3. List Entries Using Functions.mp4 87.09MB
3. Objects & Motor Functions.mp4 118.60MB
3. One Dimensional Arrays.mp4 8.49MB
3. One Shot Encoding.mp4 46.31MB
3. Opening IDE.mp4 13.97MB
3. Problem Statement.mp4 59.42MB
3. Project Implementation Part 1.mp4 34.09MB
3. Project Implementation Part 1.mp4 19.11MB
3. Project Implementation Part 1.mp4 78.83MB
3. Reading Video.mp4 28.75MB
3. Resources.html 41B
3. Resources.html 41B
3. Resources.html 41B
3. Resources.html 41B
3. Resources.html 41B
3. RGB Color Space.mp4 36.59MB
3. Saving Code Space By Using FOR loops.mp4 109.66MB
3. Storing Names-Ages Using Lists.mp4 68.67MB
3. Wolrd Of Datasets.mp4 17.97MB
3. Wrapping Up.mp4 30.63MB
3. Writing .txt Files.mp4 52.80MB
4.1 SVM.zip 56.11KB
4. Adding Directories and Directory Trees.mp4 37.32MB
4. Analyzing Dataset.mp4 26.90MB
4. Building Model.mp4 17.62MB
4. Building Netflix Series Recommender.mp4 26.70MB
4. Combining PCA and K-means Clustering.mp4 40.25MB
4. Controlling a Motor With Class Methods and Class Variables.mp4 153.81MB
4. Creating PCA Model For Data Visualization.mp4 48.24MB
4. Cross Validation.mp4 22.68MB
4. Data Similarity Visualization.mp4 19.54MB
4. Dendograms.mp4 24.24MB
4. Dictionary & Lists as a Mini Database.mp4 27.44MB
4. Downloading Libraries.mp4 2.48MB
4. Enumeration.mp4 29.06MB
4. Exception Types.mp4 48.87MB
4. Exporting .csv Files.mp4 47.91MB
4. Global Variables & What Can't My Function See.mp4 78.22MB
4. Grayscale Video.mp4 6.55MB
4. HSV Color Space.mp4 29.75MB
4. IF-ELSE To Which City Can Our Adventurer Go.mp4 24.01MB
4. Image Table Format P1.mp4 13.82MB
4. Implementation Part 2.mp4 64.69MB
4. Keyboard Commands.mp4 92.70MB
4. Let's Create a Form GUI App.mp4 42.98MB
4. Linear Data Generation.mp4 28.75MB
4. Linear Regression Implementation Part 2.mp4 15.07MB
4. Lists Append & Adding To A Shopping Cart.mp4 39.51MB
4. Live Trend Animation.mp4 15.13MB
4. Manipulating Arguments Passed.mp4 40.12MB
4. Map and Filter Built-in Function.mp4 74.61MB
4. Mean Values.mp4 37.26MB
4. More About Decorators.mp4 11.59MB
4. N-Dimensional Arrays.mp4 30.99MB
4. Neuron.mp4 42.74MB
4. PDF to Image Converter.mp4 46.07MB
4. Project Implementation Part 2.mp4 54.55MB
4. Project Implementation Part 2.mp4 46.10MB
4. Project Implementation Part 2.mp4 19.93MB
4. Reading With Split.mp4 79.31MB
4. Resources.html 41B
4. Resources Note.html 336B
4. Running The Server.mp4 27.84MB
4. Taking Input from user via Command Line.mp4 24.16MB
4. Text Tokenizing.mp4 17.14MB
4. Tracking the Object in Video.mp4 43.23MB
4. Visualizing Data.mp4 16.87MB
5. Activation Functions.mp4 26.50MB
5. Adding Entries to Dictionary.mp4 77.15MB
5. Adding Noise To Linear Data.mp4 46.29MB
5. Argument Types.mp4 9.38MB
5. Buttons And Text Fields.mp4 24.55MB
5. Controlling an RC Toy With ELIF Statement.mp4 66.08MB
5. Creating and Training Model.mp4 50.29MB
5. Creating Widgests.mp4 39.94MB
5. Data pre-processing.mp4 130.18MB
5. Dealing with missing Data.mp4 35.28MB
5. Evaluating Model.mp4 12.15MB
5. Exctracting What Is important.mp4 27.93MB
5. Extracting Hyper Parameters.mp4 10.11MB
5. Image Table Format P2.mp4 34.91MB
5. Implementation Part 3.mp4 54.72MB
5. Inheritance and Passing On Functionality.mp4 52.30MB
5. Installing Libraries.mp4 6.12MB
5. LDA Vs PCA.mp4 15.25MB
5. List Delete & Removing Items from Shopping Cart.mp4 34.80MB
5. Minst in Action.mp4 49.61MB
5. Multi Exception Statements.mp4 14.38MB
5. Multiple Object Tracking.mp4 56.82MB
5. Pair Plots.mp4 35.34MB
5. Passing Arguments.mp4 24.55MB
5. Performing Arithmetic Operation.mp4 22.20MB
5. Predicting New Data.mp4 62.39MB
5. Project Implementation Part 3.mp4 37.84MB
5. Project Implementation Part 3.mp4 79.13MB
5. Project Implementation Part 3.mp4 70.01MB
5. Reading .csv Files.mp4 45.22MB
5. Removing Directories and Directory Trees.mp4 21.93MB
5. Removing Unnecessary Words.mp4 31.72MB
5. Rendering.mp4 39.63MB
5. Returning A Value After Function Execution.mp4 70.57MB
5. Searching For Elements.mp4 61.94MB
5. Training HC Model.mp4 29.24MB
5. Unzipping .zip Files.mp4 17.75MB
5. Video Rotation.mp4 17.15MB
5. Zip.mp4 45.05MB
6.1 OpenCV.zip 8.61KB
6. Advanced Loops with List Comprehension.mp4 66.19MB
6. Back-propagation.mp4 45.92MB
6. Brute Forcing A Solution Part 1.mp4 69.23MB
6. Building Model.mp4 63.02MB
6. Dealing With Punctuations.mp4 15.55MB
6. Does this Key Even Exist.mp4 21.37MB
6. Easily Explained Polynomial Regression.mp4 23.05MB
6. External Arguments.mp4 29.07MB
6. Filtering by Series Genre.mp4 57.54MB
6. Getting MaxMin Element.mp4 17.13MB
6. Histograms And KDE.mp4 25.26MB
6. HSV adjusting Algorithm.mp4 55.68MB
6. Implementation Part 4.mp4 32.30MB
6. Implementing SVM model.mp4 32.51MB
6. Importance Matrix.mp4 21.03MB
6. Keys.mp4 48.14MB
6. List Empty & Preventing A Shopping Cart Crash.mp4 30.84MB
6. Outliers.mp4 9.31MB
6. Path Formatting.mp4 46.74MB
6. Project Implementation Part 4.mp4 82.69MB
6. Project Implementation Part 4.mp4 62.06MB
6. Project Implementation Part 4.mp4 44.48MB
6. Resources.html 41B
6. Sidebars.mp4 9.91MB
6. Summing Data.mp4 20.38MB
6. Super Keyword.mp4 114.34MB
6. Text Boxes.mp4 55.41MB
6. Training Model.mp4 9.37MB
6. Visual Evaluation.mp4 76.36MB
6. What is a Random Number Generator.mp4 17.83MB
6. What is Finally.mp4 27.28MB
6. What is my Grade Letter.mp4 96.39MB
6. Zipping Files.mp4 15.30MB
7. Adding Rows.mp4 42.86MB
7. Brute Forcing A Solution Part 2.mp4 35.74MB
7. Collecting Exception Information.mp4 18.26MB
7. Creating an Invoice Automatic Database Logging.mp4 59.94MB
7. Data Holders Part 1.mp4 34.73MB
7. Deep Nets.mp4 37.69MB
7. Deleting From a DicList.mp4 48.76MB
7. Evaluating Model Perforamnce.mp4 36.07MB
7. Evaluating Results.mp4 19.67MB
7. Getting Widget Value.mp4 25.16MB
7. Image Coordinates Shift Using For Loop.mp4 97.78MB
7. Implementation Part 5.mp4 58.43MB
7. Is It Enough To Count Votes.mp4 46.22MB
7. Let's Build a Game!.mp4 42.97MB
7. Measuring Performance.mp4 22.89MB
7. Modifying Video HSV.mp4 59.60MB
7. Nested Lists.mp4 49.78MB
7. Notes Regarding Scaling.mp4 12.62MB
7. Optional Arguments.mp4 35.72MB
7. Polynomial Data Generation.mp4 10.00MB
7. Project Implementation Part 5.mp4 35.51MB
7. Project Implementation Part 5.mp4 26.29MB
7. ReadWrite Images .png.jpg.mp4 17.13MB
7. Sorting Arrays.mp4 25.00MB
7. Sub-folders Tree.mp4 43.27MB
7. Tagging.mp4 25.06MB
7. Visual Evaluation.mp4 28.45MB
7. Watching Linear Regression Fail.mp4 35.84MB
8. Actions.mp4 33.42MB
8. Blobs.mp4 54.02MB
8. Building Model.mp4 45.18MB
8. Combining Arrays.mp4 21.68MB
8. Cross Validation.mp4 20.89MB
8. Data Augementation.mp4 77.77MB
8. Data Holders Part 2.mp4 18.67MB
8. Displaying Image in a Window.mp4 13.93MB
8. Exploring Directories.mp4 19.01MB
8. Implementation Part 6.mp4 111.69MB
8. Iterating a Dictionary.mp4 99.51MB
8. Lemmatizing a Text.mp4 16.74MB
8. Metric Evaluation.mp4 26.76MB
8. More Widgets Handling.mp4 51.94MB
8. Priority.mp4 31.36MB
8. Project Implementation Part 6.mp4 59.13MB
8. Project Implementation Part 6.mp4 100.67MB
8. Q-learning Simply Explained.mp4 65.49MB
8. Reading Images.mp4 75.56MB
8. Removing Rows.mp4 31.01MB
8. Saving Video.mp4 35.39MB
8. Training Polynomial Model.mp4 44.47MB
8. Tuples.mp4 21.82MB
8. Weighing Average.mp4 87.59MB
9. Callbacks.mp4 21.75MB
9. Changing Directory in script.mp4 22.78MB
9. Circular Data Generation.mp4 25.97MB
9. Combining Techniques.mp4 51.05MB
9. Confusion Matrix.mp4 17.63MB
9. Coordinate Extraction.mp4 48.60MB
9. Customizing Exceptions.mp4 46.45MB
9. Dropout And More Data.mp4 61.61MB
9. Extract Top N series.mp4 34.34MB
9. Grayscalling Images.mp4 29.05MB
9. Implementation Part 7.mp4 59.15MB
9. Installing Libs.mp4 4.18MB
9. Menus.mp4 31.41MB
9. Project Implementation Part 7.mp4 54.62MB
9. Q-Learning Implementation Part 1.mp4 53.18MB
9. Removing Columns.mp4 15.74MB
9. Splitting Arrays.mp4 25.54MB
9. While Statement and Repeating The Program Forever.mp4 30.55MB
Distribution statistics by country
Russia (RU) 4
Bulgaria (BG) 2
Greece (GR) 1
Germany (DE) 1
Total 8
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