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37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4 145.9 MB
27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
38. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
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27. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.1 MB
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14. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.4 MB
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[DownTuts.Com] Udemy - Deep Learning Recurrent Neural Networks with Python

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09 TensorFlow/002 TensorFlow Text Classification Example using RNN.mp4 136.7 MB
11 Project II_ Stock Price Prediction/004 RNN Model Training and Evaluation.mp4 119.6 MB
02 Applications of RNN (Motivation)/006 When to Model RNN.mp4 101.2 MB
06 RNN implementation/011 Language Modeling Next Word Prediction Python 6.mp4 94.6 MB
03 DNN Overview/020 Rprop Momentum.mp4 89.2 MB
03 DNN Overview/022 DropOut EarlyStopping Hyperparameters.mp4 81.7 MB
04 RNN Architecture/004 Weight Sharing.mp4 81.3 MB
11 Project II_ Stock Price Prediction/003 Data Prepration.mp4 81.2 MB
10 Project I_ Book Writer/003 Modling RNN Architecture.mp4 78.9 MB
10 Project I_ Book Writer/002 Data Mapping.mp4 76.9 MB
07 Sentiment Classification using RNN/001 Vocabulary Implementation.mp4 76.4 MB
10 Project I_ Book Writer/006 Modling RNN Model Text Generation.mp4 76.1 MB
05 Gradient Decsent in RNN/008 BackPropagation Through Time.mp4 74.6 MB
03 DNN Overview/002 Neuron and Perceptron.mp4 74.4 MB
12 Further Readings and Resourses/001 Further Readings and Resourses 1.mp4 73.7 MB
11 Project II_ Stock Price Prediction/002 Data Set.mp4 66.9 MB
03 DNN Overview/017 Weigth Initialization.mp4 66.6 MB
02 Applications of RNN (Motivation)/005 Stock Price Predictions.mp4 66.2 MB
04 RNN Architecture/003 Infinite Memory Architecture.mp4 62.7 MB

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