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# 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](https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=pd_sbs_14_t_0/136-5237585-3237864?_encoding=UTF8&pd_rd_i=1492032646&pd_rd_r=4c87f0c2-6ba2-4576-8c7c-e8a9144180ba&pd_rd_w=IB24C&pd_rd_wg=DPrQr&pf_rd_p=5cfcfe89-300f-47d2-b1ad-a4e27203a02a&pf_rd_r=9T888Y835HAC1VFMA19H&psc=1&refRID=9T888Y835HAC1VFMA19H). All solutions are constructed using Jupyter Notebooks.
[Chapter 1](../master/Ch1) - The Machine Learning Landscape
[Chapter 2](../master/Ch2) - End-to-End Machine Learning Project
[Chapter 3](../master/Ch3) - Classification
[Chapter 4](../master/Ch4) - Training Models
[Chapter 5](../master/Ch5) - Support Vector Machines
[Chapter 6](../master/Ch6) - Decision Trees
[Chapter 7](../master/Ch7) - Ensemble Learning and Random Forests
[Chapter 8](../master/Ch8) - Dimensionality Reduction
[Chapter 9](../master/Ch9) - Unsupervised Learning Techniques
[Chapter 10](../master/Ch10) - Intro to Atrificial Neural Networks with Keras
[Chapter 11](../master/Ch11) - Training Deep Neural Networks
[Chapter 12](../master/Ch12) - Custom Models and Training with Tensorflow