Machine Learning Experiments

Introduction

This repository has mostly all the examples and experiments that I wrote for my learning purposes only.
In this documentation, there are three sections for ML: Supervised, Unsupervised learning, AutoML and Final Project.

Supervised learning will include two experiments: Regression and Classification experiment.
Unsupervised learning will include two experiments: Clustering and Anamoly experiment.
AutoML will be an overview of the AutoML experiment and its uses.
Final Project is for final practice to make sure the material was understood and to also explore the uses of ML in the real-world.

Supervised Learning

Regression Experiment
Classification Experiment

Unsupervised Learning

Clustering
Anamoly

AutoML

AutoMl

ML Final Project

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