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| [TGx]Downloaded from torrentgalaxy.to .txt |
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| 1 |
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| 10 |
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| 100 |
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| 100 - Google Stock Price Prediction with RNN and LSTM Step 1.mp4 |
117.14Мб |
| 101 |
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| 101 - Google Stock Price Prediction with RNN and LSTM Step 2.mp4 |
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| 102 |
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| 102 - Google Stock Price Prediction with RNN and LSTM Step 3.mp4 |
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| 103 |
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| 103 - Google Stock Price Prediction with RNN and LSTM Step 4.mp4 |
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| 104 |
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| 104 - Google Stock Price Prediction with RNN and LSTM Step 5.mp4 |
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| 105 |
807.40Кб |
| 105 - Cats and Dogs Classification Step 1.mp4 |
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| 106 |
651.89Кб |
| 106 - Cats and Dogs Classification Step 2.mp4 |
61.50Мб |
| 107 - Cats and Dogs Classification Step 3.mp4 |
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| 108 - Cats and Dogs Classification Step 4.mp4 |
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| 109 - Movie Review Classifivation with NLTK Step 1.mp4 |
134.81Мб |
| 10 - Predicting a Single Observation.mp4 |
34.24Мб |
| 11 |
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| 110 - Movie Review Classifivation with NLTK Step 2.mp4 |
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| 11 - Business Problem.mp4 |
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| 12 |
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| 12 - Data Preprocessing part 1.mp4 |
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| 13 |
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| 13 - Data Preprocessing part 2.mp4 |
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| 14 - Logistic Regression.mp4 |
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| 15 |
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| 15 - Random Forest Classifier.mp4 |
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| 16 |
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| 16 - XGBoost Classifier.mp4 |
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| 17 |
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| 17 - Hyperparameter Tuning using Randomized Search.mp4 |
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| 18 - Predicting a Single Observation.mp4 |
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| 19 |
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| 19 - Business Problem.mp4 |
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| 1 - Course Overview.mp4 |
9.36Мб |
| 2 |
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| 20 |
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| 20 - Data Preprocessing Part 1.mp4 |
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| 21 |
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| 21 - Data Preprocessing Part 2.mp4 |
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| 22 - Building and Finalizing the model.mp4 |
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| 23 - Predicting a single observation.mp4 |
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| 24 - Business Problem.mp4 |
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| 25 |
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| 25 - Data Preprocessing Part 1.mp4 |
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| 26 - Data Preprocessing Part 2.mp4 |
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| 27 - Building and Finalizing the model.mp4 |
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| 28 - Hyperparameter Tuning using Randomized Search.mp4 |
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| 29 |
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| 29 - Business Problem.mp4 |
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| 2 - Important Udemy Review Update.mp4 |
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| 30 - Data Preprocessing Part 1.mp4 |
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| 31 - Data Preprocessing Part 2.mp4 |
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| 32 - Building and Finalizing the model.mp4 |
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| 33 - Hyperparameter Tuning using Randomized Search.mp4 |
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| 34 - Predicting a single observation.mp4 |
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| 35 - Business Problem.mp4 |
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| 36 |
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| 36 - Data Preprocessing Part 1.mp4 |
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| 37 - Data Preprocessing Part 2.mp4 |
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127.21Кб |
| 38 - Building and Finalizing the model.mp4 |
91.78Мб |
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148.31Кб |
| 39 - Predicting a single observation.mp4 |
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| 3 - Colab Notebooks.html |
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| 40 |
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| 40 - Business Problem.mp4 |
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| 41 |
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| 41 - Data Preprocessing Part 1.mp4 |
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| 42 - Data Preprocessing Part 2.mp4 |
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| 43 - Building and Finalizing the model.mp4 |
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| 44 - Hyperparameter Tuning using Randomized Search.mp4 |
102.03Мб |
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| 45 - Predicting a single observation.mp4 |
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| 46 - Business Problem.mp4 |
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| 47 - Data Preprocessing.mp4 |
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| 48 |
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| 48 - Building the model and predicting results.mp4 |
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| 49 - Business Problem.mp4 |
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| 4 - Business Problem.mp4 |
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| 50 - Data Preprocessing Part 1.mp4 |
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| 51 |
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| 51 - Data Preprocessing Part 2.mp4 |
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| 52 |
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| 52 - Building and finalizing the Model.mp4 |
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| 53 |
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| 53 - HyperParameter tuning and predicting the results.mp4 |
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| 54 |
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| 54 - Business Problem.mp4 |
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| 55 |
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| 55 - Data Preprocessing Part 1.mp4 |
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| 56 |
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| 56 - Data Preprocessing Part 2.mp4 |
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| 57 |
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| 57 - Data Preprocessing Part 3.mp4 |
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| 58 |
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| 58 - Building and Finalizing the Model.mp4 |
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| 59 |
542.36Кб |
| 59 - Step 1 Installation and Setup.mp4 |
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| 5 - Data Preprocessing Part 1.mp4 |
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| 60 |
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| 60 - Step 2 Data Preprocessing.mp4 |
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| 61 |
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| 61 - Imp Lecture dont skip.html |
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| 62 |
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| 62 - Step 3 Building the Model.mp4 |
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| 63 |
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| 63 - Step 4 Training the Model.mp4 |
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| 64 |
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| 64 - Step 5 Model evaluation and performance.mp4 |
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| 65 |
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| 65 - Binary Data Classification Step 1.mp4 |
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| 66 |
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| 66 - Binary Data Classification Step 2.mp4 |
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| 67 |
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| 67 - Binary Data Classification Step 3.mp4 |
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| 68 |
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| 68 - Binary Data Classification Step 4.mp4 |
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| 69 - Binary Data Classification Step 5.mp4 |
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| 6 - Data Preprocessing Part 2.mp4 |
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| 7 |
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| 70 |
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| 70 - Object Recognition in Images Step 1.mp4 |
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| 71 |
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| 71 - Object Recognition in Images Step 2.mp4 |
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| 72 |
230.94Кб |
| 72 - Object Recognition in Images Step 3.mp4 |
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| 73 |
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| 73 - Object Recognition in Images Step 4.mp4 |
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| 74 |
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| 74 - Object Recognition in Images Step 5.mp4 |
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| 75 |
286.94Кб |
| 75 - Binary Image Classification Step 1.mp4 |
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| 76 |
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| 76 - Binary Image Classification Step 2.mp4 |
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| 77 |
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| 77 - Binary Image Classification Step 3.mp4 |
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| 78 - Binary Image Classification Step 4.mp4 |
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| 79 |
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| 79 - Binary Image Classification Step 5.mp4 |
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| 7 - Logistic Regression.mp4 |
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| 8 |
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| 80 |
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| 80 - Digit Recognition with CNN Step 1.mp4 |
68.14Мб |
| 81 |
588.73Кб |
| 81 - Digit Recognition with CNN Step 2.mp4 |
68.28Мб |
| 82 |
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| 82 - Digit Recognition with CNN Step 3.mp4 |
66.13Мб |
| 83 |
300.48Кб |
| 83 - Breast Cancer Detection with CNN Step 1.mp4 |
102.54Мб |
| 84 |
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| 84 - Breast Cancer Detection with CNN Step 2.mp4 |
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| 85 |
859.81Кб |
| 85 - Breast Cancer Detection with CNN Step 3.mp4 |
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| 86 |
782.21Кб |
| 86 - Predicting the Bank Customer Satisfaction Step 1.mp4 |
84.39Мб |
| 87 |
671.64Кб |
| 87 - Predicting the Bank Customer Satisfaction Step 2.mp4 |
151.29Мб |
| 88 |
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| 88 - Predicting the Bank Customer Satisfaction Step 3.mp4 |
90.86Мб |
| 89 |
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| 89 - Predicting the Bank Customer Satisfaction Step 4.mp4 |
63.41Мб |
| 8 - Random Forest Classifier.mp4 |
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| 90 |
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| 90 - Credit Card Fraud Detection with CNN Step 1.mp4 |
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| 91 |
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| 91 - Credit Card Fraud Detection with CNN Step 2.mp4 |
107.80Мб |
| 92 |
379.57Кб |
| 92 - Credit Card Fraud Detection with CNN Step 3.mp4 |
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| 93 |
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| 93 - Credit Card Fraud Detection with CNN Step 4.mp4 |
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| 94 |
593.83Кб |
| 94 - IMDB Review Classification with RNN LSTM Step 1.mp4 |
62.09Мб |
| 95 |
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| 95 - IMDB Review Classification with RNN LSTM Step 2.mp4 |
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| 96 |
545.10Кб |
| 96 - IMDB Review Classification with RNN LSTM Step 3.mp4 |
66.47Мб |
| 97 |
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| 97 - Multiclass Image Classification with RNN LSTM Step 1.mp4 |
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| 98 |
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| 98 - Multiclass Image Classification with RNN LSTM Step 2.mp4 |
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| 99 |
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| 99 - Multiclass Image Classification with RNN LSTM Step 3.mp4 |
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| 9 - Hyperparameter Tuning using Randomized search.mp4 |
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| TutsNode.net.txt |
63б |