hands-on-ml

My Jupiter notebooks for work I complete as part of 'Hands-On Machine Learning With Scikit-Learn & Tensorflow'.

Name		Name	Last commit message	Last commit date
Latest commit History 62 Commits
ch12_exercises		ch12_exercises
data/animal_images		data/animal_images
.gitignore		.gitignore
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 Training Deep Neural Nets.ipynb		11 Training Deep Neural Nets.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
Decision Trees.ipynb		Decision Trees.ipynb
Dimensionality Reduction.ipynb		Dimensionality Reduction.ipynb
Ensemble Learning and Random Forests.ipynb		Ensemble Learning and Random Forests.ipynb
Housing.ipynb		Housing.ipynb
HumanResourceAnalytics.ipynb		HumanResourceAnalytics.ipynb
MNIST.ipynb		MNIST.ipynb
README.md		README.md
Support Vector Machines.ipynb		Support Vector Machines.ipynb
Training Models.ipynb		Training Models.ipynb
clear_logs.sh		clear_logs.sh
install_openai_gym_dependencies.sh		install_openai_gym_dependencies.sh
requirements.txt		requirements.txt
run_notebooks.sh		run_notebooks.sh
run_tensorboard.sh		run_tensorboard.sh

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