Foundational Machine Learning

Table of Contents

• About the Project
  • Built With
• Getting Started
  • Prerequisites
  • Installation
  • Python Data Science Libraries
  • Supervised Learning
• Contributing
• Contact

About The Project

Fundamentals of Machine Learning using Python.

Built With

• Jupyter Notebook
• Python3

Getting Started

This repository provides an overview of machine learning fundamentals. Topics covered include:

1. Reviewing the types of problems that can be solved
2. Understanding building blocks
3. Learning the fundamentals of building models in machine learning
4. Exploring key algorithms

Prerequisites

• python

choco install -y python

Installation

1. Clone the repo

git clone https://github.com/kudoabhijeet/FoundationalML.git

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Contact

Abhijeet Prasad - @kudoabhijeet - abhi.prasad16@gmail.com

Project Link: https://github.com/kudoabhijeet/Machine-Learning