Jump to Machine Learning

In this repository, I gathered a lot of useful examples in machine learning. Here you can find Basic Concepts of ML, examples of Supervised, Unsupervised learning, Neural Networks, etc.
It can also be a learning path for those who start learning ML

Fundamentals of ML and Supervised Learning

Classification Models

• Naive Bayes

• SVM (Support vector machine)

• Decision Trees

• KNeighbors

Regression Models

• Linear Regression

• Outliers

Trees, Ensemble Methods

Unsupervised Learning

Clustering

Dimensionality Reduction

Neural Networks

Neural Networks and Backpropagation

Convolutional Neural Networks

Recurrent Neural Networks

Projects written on Python3, Visual Studio 2017 Enterprise Edition