- Intro to Machine Learning
- Example end-to-end Machine Learning project (California Housing dataset)
- Basic Classification
- Training Techniques
- Support Vector Machines
- Decision Trees
- Ensemble Learning & Random Forests
- Dimensionality Reduction
- TensorFlow Installation & Checkout
- TensorFlow & Neural Nets
- TensorFlow Training
- TensorFlow on Distributed Hardware
- Convolutional Neural Nets
- Recurrent Neural Nets
- Autoencoders
- Reinforcement Learning
bjpcjp/scikit-and-tensorflow-workbooks
based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)
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