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Название Python The Ultimate Course 2023 - Everything You'll Ever Need
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1 30б
1.1 Matplotlib.zip 1.58Кб
1.1 ObjectTracking.zip 142.73Кб
1.1 RWzip.zip 1.85Кб
1. Classification.mp4 48.00Мб
1. Command Line Interface Intuition.mp4 16.25Мб
1. Datasets.mp4 31.52Мб
1. Decorators Intuition.mp4 33.73Мб
1. Easily Explained Linear Regression.mp4 21.64Мб
1. Features, Dependent and Independent Variables.mp4 34.30Мб
1. Getting Everything Together.mp4 38.72Мб
1. How to set it up.mp4 15.08Мб
1. Introduction.mp4 73.55Мб
1. Introduction To Finite State Machines.mp4 89.23Мб
1. Intuition.mp4 28.16Мб
1. OCR Intuition.mp4 9.50Мб
1. Problem Description And Dataset.mp4 8.71Мб
1. Project Intuition.mp4 60.97Мб
1. Project Overview.mp4 10.35Мб
1. Project Overview.mp4 9.62Мб
1. Random Forests Simply Explained.mp4 85.69Мб
1. Resources.html 41б
1. Resources.html 41б
1. Resources.html 41б
1. Section Introduction.mp4 20.37Мб
1. Section Introduction.mp4 18.29Мб
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1. Section Introduction.mp4 10.04Мб
1. Section Introduction.mp4 9.43Мб
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1. Simply Explained.mp4 130.50Мб
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1. Simply Explained.mp4 68.35Мб
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10. Adding Plots.mp4 29.42Мб
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2.1 AI_WebApp_Project.zip 9.87Кб
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2.1 Built-inFunctions.zip 817б
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2.1 Decorators.zip 3.04Кб
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2.1 Exceptions.zip 12.09Кб
2.1 FiniteStateMachine.zip 548б
2.1 Functions.zip 1.18Кб
2.1 GaussianNaiveBayes.zip 385.07Кб
2.1 HC.zip 54.87Кб
2.1 KmeansClustering.zip 164.51Кб
2.1 LDA.zip 31.07Кб
2.1 LinearRegression.zip 66.88Кб
2.1 ListAndDataStorage.zip 2.38Кб
2.1 LoopsAndDataIteration.zip 1.93Кб
2.1 NetflixRecommenderSystem.zip 1.15Мб
2.1 NLP_SpamHamFilter.zip 22.16Кб
2.1 Numpy.zip 3.08Кб
2.1 OCR.zip 185.14Кб
2.1 OOP.zip 1.84Кб
2.1 Pandas.zip 141.19Кб
2.1 PCA.zip 28.08Кб
2.1 PingPong.zip 1.22Кб
2.1 RandomForests.zip 727.02Кб
2.1 ReinforcementLearning.zip 36.00Кб
2.1 Resources.zip 10.76Кб
2.1 Seaborn.zip 871.78Кб
2.1 StringsAndRandomNumberGenerators.zip 1.73Кб
2.1 tSNE.zip 48.67Кб
2.1 VideoProcessing.zip 53.34Кб
2. ANN and Images.mp4 33.16Мб
2. Data Intuition.mp4 44.22Мб
2. Image Processing Intuition.mp4 30.65Мб
2. Installing Environment.mp4 18.72Мб
2. Intuition.mp4 17.20Мб
2. Intuition.mp4 11.47Мб
2. Let's add Few More Details.mp4 20.84Мб
2. NPL Intuition.mp4 12.04Мб
2. Object Tracking Algorithms.mp4 27.38Мб
2. Reading .txt Files.mp4 60.68Мб
2. Resources.html 52б
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2. Shortcuts.mp4 14.64Мб
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20. Masking Binarized Images.mp4 36.16Мб
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3 1.83Мб
3.1 ANN.zip 140.01Кб
3.1 ArtificialDataGeneration.zip 96.87Кб
3.1 DirectoryManagement.zip 3.13Кб
3.1 GUI.zip 10.10Кб
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3. Analyzing Dataset.mp4 10.75Мб
3. Classifying Marketing Campaign Purchases.mp4 15.78Мб
3. Creating CLI with Arguments.mp4 50.67Мб
3. Creating Data Frames.mp4 36.01Мб
3. Creating Ping Pong Paddles.mp4 74.39Мб
3. Creating Variables in Python.mp4 48.59Мб
3. Data Classification.mp4 42.30Мб
3. Data Pre-Processing.mp4 109.15Мб
3. Data Relationships Visualization.mp4 72.74Мб
3. Data Splitting And Its Importance.mp4 39.44Мб
3. Data Visualaization.mp4 42.35Мб
3. Decorating To Create a Function Check-Point.mp4 37.45Мб
3. Dictionary Introduction.mp4 45.31Мб
3. Downloading Libraries.mp4 18.44Мб
3. Exceptions.mp4 16.44Мб
3. Getting Libraries.mp4 4.61Мб
3. How does a Car Utilize The IF Statement.mp4 56.55Мб
3. Implementation Part 1.mp4 58.47Мб
3. Implementing LDA Model.mp4 36.72Мб
3. Implementing TSNE model For Data Visualization.mp4 43.69Мб
3. Initial ROI.mp4 30.35Мб
3. K-means Clustering Implementation.mp4 51.73Мб
3. Lambda, a Function With no Definition.mp4 30.65Мб
3. Let's Add Few More Details.mp4 121.19Мб
3. Linear Regression Implementation Part 1.mp4 28.99Мб
3. List Entries Using Functions.mp4 87.09Мб
3. Objects & Motor Functions.mp4 118.60Мб
3. One Dimensional Arrays.mp4 8.49Мб
3. One Shot Encoding.mp4 46.31Мб
3. Opening IDE.mp4 13.97Мб
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3. Reading Video.mp4 28.75Мб
3. Resources.html 41б
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3. RGB Color Space.mp4 36.59Мб
3. Saving Code Space By Using FOR loops.mp4 109.66Мб
3. Storing Names-Ages Using Lists.mp4 68.67Мб
3. Wolrd Of Datasets.mp4 17.97Мб
3. Wrapping Up.mp4 30.63Мб
3. Writing .txt Files.mp4 52.80Мб
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4.1 SVM.zip 56.11Кб
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4. Analyzing Dataset.mp4 26.90Мб
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4. Building Netflix Series Recommender.mp4 26.70Мб
4. Combining PCA and K-means Clustering.mp4 40.25Мб
4. Controlling a Motor With Class Methods and Class Variables.mp4 153.81Мб
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4. Data Similarity Visualization.mp4 19.54Мб
4. Dendograms.mp4 24.24Мб
4. Dictionary & Lists as a Mini Database.mp4 27.44Мб
4. Downloading Libraries.mp4 2.48Мб
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4. Exception Types.mp4 48.87Мб
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4. Global Variables & What Can't My Function See.mp4 78.22Мб
4. Grayscale Video.mp4 6.55Мб
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4. IF-ELSE To Which City Can Our Adventurer Go.mp4 24.01Мб
4. Image Table Format P1.mp4 13.82Мб
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4. Linear Regression Implementation Part 2.mp4 15.07Мб
4. Lists Append & Adding To A Shopping Cart.mp4 39.51Мб
4. Live Trend Animation.mp4 15.13Мб
4. Manipulating Arguments Passed.mp4 40.12Мб
4. Map and Filter Built-in Function.mp4 74.61Мб
4. Mean Values.mp4 37.26Мб
4. More About Decorators.mp4 11.59Мб
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4. Neuron.mp4 42.74Мб
4. PDF to Image Converter.mp4 46.07Мб
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4. Reading With Split.mp4 79.31Мб
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4. Running The Server.mp4 27.84Мб
4. Taking Input from user via Command Line.mp4 24.16Мб
4. Text Tokenizing.mp4 17.14Мб
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5. Activation Functions.mp4 26.50Мб
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5. Controlling an RC Toy With ELIF Statement.mp4 66.08Мб
5. Creating and Training Model.mp4 50.29Мб
5. Creating Widgests.mp4 39.94Мб
5. Data pre-processing.mp4 130.18Мб
5. Dealing with missing Data.mp4 35.28Мб
5. Evaluating Model.mp4 12.15Мб
5. Exctracting What Is important.mp4 27.93Мб
5. Extracting Hyper Parameters.mp4 10.11Мб
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5. LDA Vs PCA.mp4 15.25Мб
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6.1 OpenCV.zip 8.61Кб
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6. Back-propagation.mp4 45.92Мб
6. Brute Forcing A Solution Part 1.mp4 69.23Мб
6. Building Model.mp4 63.02Мб
6. Dealing With Punctuations.mp4 15.55Мб
6. Does this Key Even Exist.mp4 21.37Мб
6. Easily Explained Polynomial Regression.mp4 23.05Мб
6. External Arguments.mp4 29.07Мб
6. Filtering by Series Genre.mp4 57.54Мб
6. Getting MaxMin Element.mp4 17.13Мб
6. Histograms And KDE.mp4 25.26Мб
6. HSV adjusting Algorithm.mp4 55.68Мб
6. Implementation Part 4.mp4 32.30Мб
6. Implementing SVM model.mp4 32.51Мб
6. Importance Matrix.mp4 21.03Мб
6. Keys.mp4 48.14Мб
6. List Empty & Preventing A Shopping Cart Crash.mp4 30.84Мб
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7. Deep Nets.mp4 37.69Мб
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7. Getting Widget Value.mp4 25.16Мб
7. Image Coordinates Shift Using For Loop.mp4 97.78Мб
7. Implementation Part 5.mp4 58.43Мб
7. Is It Enough To Count Votes.mp4 46.22Мб
7. Let's Build a Game!.mp4 42.97Мб
7. Measuring Performance.mp4 22.89Мб
7. Modifying Video HSV.mp4 59.60Мб
7. Nested Lists.mp4 49.78Мб
7. Notes Regarding Scaling.mp4 12.62Мб
7. Optional Arguments.mp4 35.72Мб
7. Polynomial Data Generation.mp4 10.00Мб
7. Project Implementation Part 5.mp4 35.51Мб
7. Project Implementation Part 5.mp4 26.29Мб
7. ReadWrite Images .png.jpg.mp4 17.13Мб
7. Sorting Arrays.mp4 25.00Мб
7. Sub-folders Tree.mp4 43.27Мб
7. Tagging.mp4 25.06Мб
7. Visual Evaluation.mp4 28.45Мб
7. Watching Linear Regression Fail.mp4 35.84Мб
70 1.57Мб
71 465.92Кб
72 1.18Мб
73 1.45Мб
74 330.69Кб
75 522.78Кб
76 601.08Кб
77 1.28Мб
78 1.38Мб
79 1.45Мб
8 1.40Мб
8. Actions.mp4 33.42Мб
8. Blobs.mp4 54.02Мб
8. Building Model.mp4 45.18Мб
8. Combining Arrays.mp4 21.68Мб
8. Cross Validation.mp4 20.89Мб
8. Data Augementation.mp4 77.77Мб
8. Data Holders Part 2.mp4 18.67Мб
8. Displaying Image in a Window.mp4 13.93Мб
8. Exploring Directories.mp4 19.01Мб
8. Implementation Part 6.mp4 111.69Мб
8. Iterating a Dictionary.mp4 99.51Мб
8. Lemmatizing a Text.mp4 16.74Мб
8. Metric Evaluation.mp4 26.76Мб
8. More Widgets Handling.mp4 51.94Мб
8. Priority.mp4 31.36Мб
8. Project Implementation Part 6.mp4 100.67Мб
8. Project Implementation Part 6.mp4 59.13Мб
8. Q-learning Simply Explained.mp4 65.49Мб
8. Reading Images.mp4 75.56Мб
8. Removing Rows.mp4 31.01Мб
8. Saving Video.mp4 35.39Мб
8. Training Polynomial Model.mp4 44.47Мб
8. Tuples.mp4 21.82Мб
8. Weighing Average.mp4 87.59Мб
80 1.88Мб
81 1.98Мб
82 101.18Кб
83 315.86Кб
84 839.07Кб
85 1.20Мб
86 1.70Мб
87 1.86Мб
88 56.49Кб
89 280.74Кб
9 1.66Мб
9. Callbacks.mp4 21.75Мб
9. Changing Directory in script.mp4 22.78Мб
9. Circular Data Generation.mp4 25.97Мб
9. Combining Techniques.mp4 51.05Мб
9. Confusion Matrix.mp4 17.63Мб
9. Coordinate Extraction.mp4 48.60Мб
9. Customizing Exceptions.mp4 46.45Мб
9. Dropout And More Data.mp4 61.61Мб
9. Extract Top N series.mp4 34.34Мб
9. Grayscalling Images.mp4 29.05Мб
9. Implementation Part 7.mp4 59.15Мб
9. Installing Libs.mp4 4.18Мб
9. Menus.mp4 31.41Мб
9. Project Implementation Part 7.mp4 54.62Мб
9. Q-Learning Implementation Part 1.mp4 53.18Мб
9. Removing Columns.mp4 15.74Мб
9. Splitting Arrays.mp4 25.54Мб
9. While Statement and Repeating The Program Forever.mp4 30.55Мб
90 970.32Кб
91 1.06Мб
92 1.33Мб
93 1.71Мб
94 225.08Кб
95 399.50Кб
96 1.13Мб
97 1.19Мб
98 1.24Мб
99 1.40Мб
TutsNode.net.txt 63б
Статистика распространения по странам
Индия (IN) 4
Китай (CN) 1
Израиль (IL) 1
Нидерланды (NL) 1
Колумбия (CO) 1
Польша (PL) 1
ЮАР (ZA) 1
Словакия (SK) 1
Россия (RU) 1
Эфиопия (ET) 1
Южная Корея (KR) 1
Пакистан (PK) 1
Бельгия (BE) 1
Канада (CA) 1
Шри-Ланка (LK) 1
Филиппины (PH) 1
Всего 19
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