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README.md
Hands-On Machine Learning with Scikit-Learn and TensorFlow
This repositort contains solutions to Aurélien Géron's book on machine learning Hands-On Machine Learning with Scikit-Learn and TensorFlow 2nd Edition. All solutions are constructed using Jupyter Notebooks.
Chapter 1 - The Machine Learning Landscape Chapter 2 - End-to-End Machine Learning Project Chapter 3 - Classification Chapter 4 - Training Models Chapter 5 - Support Vector Machines Chapter 6 - Decision Trees Chapter 7 - Ensemble Learning and Random Forests Chapter 8 - Dimensionality Reduction Chapter 9 - Unsupervised Learning Techniques Chapter 10 - Intro to Atrificial Neural Networks with Keras Chapter 11 - Training Deep Neural Networks Chapter 12 - Custom Models and Training with Tensorflow