Machine Learning Notebooks

This project aims at teaching you the fundamentals of Machine Learning in python. It contains the example code and solutions to the exercises in my O'Reilly book Hands-on Machine Learning with Scikit-Learn and TensorFlow:

Name		Name	Last commit message	Last commit date
Latest commit History 164 Commits
datasets		datasets
images		images
.gitignore		.gitignore
01_the_machine_learning_landscape.ipynb		01_the_machine_learning_landscape.ipynb
02_end_to_end_machine_learning_project.ipynb		02_end_to_end_machine_learning_project.ipynb
03_classification.ipynb		03_classification.ipynb
04_training_linear_models.ipynb		04_training_linear_models.ipynb
05_support_vector_machines.ipynb		05_support_vector_machines.ipynb
06_decision_trees.ipynb		06_decision_trees.ipynb
07_ensemble_learning_and_random_forests.ipynb		07_ensemble_learning_and_random_forests.ipynb
08_dimensionality_reduction.ipynb		08_dimensionality_reduction.ipynb
09_up_and_running_with_tensorflow.ipynb		09_up_and_running_with_tensorflow.ipynb
10_introduction_to_artificial_neural_networks.ipynb		10_introduction_to_artificial_neural_networks.ipynb
11_deep_learning.ipynb		11_deep_learning.ipynb
12_distributed_tensorflow.ipynb		12_distributed_tensorflow.ipynb
13_convolutional_neural_networks.ipynb		13_convolutional_neural_networks.ipynb
14_recurrent_neural_networks.ipynb		14_recurrent_neural_networks.ipynb
15_autoencoders.ipynb		15_autoencoders.ipynb
16_reinforcement_learning.ipynb		16_reinforcement_learning.ipynb
LICENSE		LICENSE
README.md		README.md
book_equations.ipynb		book_equations.ipynb
index.ipynb		index.ipynb
math_linear_algebra.ipynb		math_linear_algebra.ipynb
requirements.txt		requirements.txt
tools_matplotlib.ipynb		tools_matplotlib.ipynb
tools_numpy.ipynb		tools_numpy.ipynb
tools_pandas.ipynb		tools_pandas.ipynb

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