From e60b635e29bbfbd9d50e3b24332b2b97f7e36f9c Mon Sep 17 00:00:00 2001 From: tsb1995 <47466105+tsb1995@users.noreply.github.com> Date: Fri, 28 Feb 2020 15:30:01 -0800 Subject: [PATCH] Update README.md --- README.md | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/README.md b/README.md index 64b6e90b4..4e7fe722d 100644 --- a/README.md +++ b/README.md @@ -2,16 +2,16 @@ 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 +[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