Machine Learning Practice

This repository is dedicated to the practice and study of Machine Learning algorithms

Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
Author: Tarek Amr
Year: 2020

Artificial Intelligence Graduate Program (Advanced Institute of Artificial Intelligence/SENAI - PR/BRAZIL)

Name		Name	Last commit message	Last commit date
Latest commit History 52 Commits
data		data
.gitignore		.gitignore
CNN_Cifar10.ipynb.ipynb		CNN_Cifar10.ipynb.ipynb
Chapter2_HEIGHT_REG.ipynb		Chapter2_HEIGHT_REG.ipynb
Chapter2_IRIS_CLASSIF.ipynb		Chapter2_IRIS_CLASSIF.ipynb
Chapter3_BOSTON_REG.ipynb		Chapter3_BOSTON_REG.ipynb
Chapter3_Regression_intervals.ipynb		Chapter3_Regression_intervals.ipynb
LogisticRegression.ipynb		LogisticRegression.ipynb
MultiLayerPerceptron.ipynb		MultiLayerPerceptron.ipynb
Perceptron.ipynb		Perceptron.ipynb
Pytorch-how-to.ipynb		Pytorch-how-to.ipynb
README.md		README.md