HandsonML

This repository contains my notebooks which I used them to learn fundamentals of machine learning. I read Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow for this goal. I created a new jupyter notebook for every chapter that I read. There is also a github repository for this book.

There are also some submodules which are kaggle competitions that I contributed during this learning process.

Name		Name	Last commit message	Last commit date
Latest commit History 33 Commits
FraudDetection @ 3e35135		FraudDetection @ 3e35135
HousePrices @ 7b168b9		HousePrices @ 7b168b9
SpamDetecion @ 1ba3818		SpamDetecion @ 1ba3818
Titanic @ c85ad8a		Titanic @ c85ad8a
datasets		datasets
.gitignore		.gitignore
.gitmodules		.gitmodules
Chapter 02 - Housing.ipynb		Chapter 02 - Housing.ipynb
Chapter 03 - MNIST.ipynb		Chapter 03 - MNIST.ipynb
Chapter 04 - Regression.ipynb		Chapter 04 - Regression.ipynb
Chapter 05 - SupportVectorMachines.ipynb		Chapter 05 - SupportVectorMachines.ipynb
Chapter 06 - DecisionTrees.ipynb		Chapter 06 - DecisionTrees.ipynb
Chapter 07 - EnsembleLearning.ipynb		Chapter 07 - EnsembleLearning.ipynb
Chapter 08 - PCA.ipynb		Chapter 08 - PCA.ipynb
Chapter 09 (2019) - Unsupervised Learning Techniques.ipynb		Chapter 09 (2019) - Unsupervised Learning Techniques.ipynb
Chapter 10 - Introduction to Artificial Neural Networks with Keras.ipynb		Chapter 10 - Introduction to Artificial Neural Networks with Keras.ipynb
README.md		README.md

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