A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory
You can find the credits for the authors in the header of each Jupyter Notebook.
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Machine Learning Basic concepts 1 & 2 & 3 & 4
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Linear Regression 1 & 2 & 3
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Random Forest 1 & 2 & 3 & 4
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Logistic Regression 1 & 2 & 3
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Ensembles 1 & 2
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Multi-Layer Perceptron 1 & 2 & 3 & 4 & 5
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Convolutional Neural Networks 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9
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Data Augmentation 1 & 2 & 3
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Recurrent Neural Networks 1 & 2 & 3 & 4 & 5
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Generative Adversarial Networks 1 & 2 & 3 & 4 & 5
Contributions welcome! Read the contribution guidelines first.