aryan-jadon18 / m-l-notes

Machine Learning Repository

Introduction

This repository contains the code and resources for a machine learning beginner, I started creating this as a hobby or a daily journal for ML enthusiasts.

Context: Machine learning is a constantly evolving technology and currently we're also hearing abooout AGI to be implemented. So, to keep everyone up with new developments the new development section was added.

📓Note: Though this repo is made so, that you can read it, and run code in google colab, you can still install it locally to run code!

➡️For efficiency while creating this repo, I've preferred to add basic resources firstly. Those can be improved later on..

##Links to Mind Maps Here are some mind maps that summarize the concepts of machine learning from data analysis to deep learning:

• Machine Learning Mindmap
• Deep Learning Mindmap

Handbooks

Here are some diagrams that explain the basics of machine learning for starters:

• Machine Learning Fundamentals Handbook
• Flowchart for Basic Machine Learning Models

Contribution Guidelines

We welcome contributions to this repository! If you're new to machine learning, don't worry - we're here to help. Here are some tips for making beginner-friendly contributions:

• Use simple language and avoid jargon.
• Provide clear explanations and examples.
• Include comments in your code.
• Add links to helpful resources.
• Test your code thoroughly before submitting a pull request.