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Lesson 0 - LinRegression.ipynb
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Lesson 01 - PenalisedRegression - Solutions.ipynb
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Lesson 01 - PenalisedRegression.ipynb
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Lesson 02 - GradientDescent.ipynb
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Lesson 03 - TF_intro.ipynb
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Lesson 04 - NeuralNets.ipynb
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Lesson 04 - Part 2 - Keras Neural Nets.ipynb
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Lesson 05 - Keras Sentiment Analysis - Solutions.ipynb
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Lesson 05 - Keras Sentiment Analysis.ipynb
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Lesson 06 - contraception.ipynb
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Lesson 07 - Word2vec.ipynb
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Lesson 08 - Bike Sharing - Solutions.ipynb
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Lesson 08 - Bike Sharing.ipynb
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Lesson 09 - Hyperparameters - Solutions.ipynb
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Lesson 09 - Hyperparameters.ipynb
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Lesson 10 - XGBoost + Scikit learn - Solutions.ipynb
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Lesson 10 - XGBoost + Scikit learn.ipynb
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Lesson 11 - Convolutional Neural Nets - Solutions.ipynb
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Lesson 11 - Convolutional Neural Nets.ipynb
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Lesson 12 - CIFAR10 CNN - Solutions.ipynb
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Lesson 12 - CIFAR10 CNN.ipynb
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Lesson 13 - Transfer Learning - Solutions.ipynb
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Lesson 13 - Transfer Learning.ipynb
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Lesson 14 - Sentiment Analysis - RNNs - Solutions.ipynb
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Lesson 14 - Sentiment Analysis - RNNs.ipynb
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Lesson 15 - LSTM Shakespeare generator - Solutions.ipynb
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Lesson 15 - LSTM Shakespeare generator.ipynb
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Lesson 16 - LSTM Trump Tweets - Solutions.ipynb
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Lesson 16 - LSTM Trump Tweets.ipynb
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Lesson 17 - LSTM part 2 Trump Tweets - Solutions.ipynb
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Lesson 17 - LSTM part 2 Trump Tweets.ipynb
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Lesson 18 - Fake News Classification - Solutions.ipynb
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Lesson 18 - Fake News Classification.ipynb
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Lesson 19 - Seq2Seq - Date translator - Solutions.ipynb
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Lesson 19 - Seq2Seq - Date translator.ipynb
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Lesson 20 - Deep Q Learning - Solutions.ipynb
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Lesson 20 - Deep Q Learning.ipynb
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Lesson 21 - Generative Adversarial Networks.ipynb
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Lesson 22 - Final Thoughts.ipynb
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Readme.md
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utilities.py
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