Learning Machine Learning

My ML/Deep Learning journey based on “Hands On Machine Learning” book.

This repository contains my Jupyter notebook notes including all source datasets. Feel free to explore, modify, learn.

In the repository, in general, you will find code examples without detailed explanations. My most detailed notes are stored in my Obsidian vault, soon I'll publish them.

To view my jupyter notes, navigate to jupyter_notes/ directory.

Datasets taken from “Hands-On Machine Learning” by Aurélien Géron. Used for educational purposes.

GitHub Repo: Hands-On-ML

Getting started

1. Clone the repository:

   git clone https://github.com/yeghor/Learning-Machine-Learning.git
   cd Learning-Machine-Learning

2. Create and activate a virtual environment:

   python -m venv .venv
   
   # Activate environment, choose suitable for you
   source .venv/bin/activate  # macOS / Linux
   .venv\Scripts\activate.bat     # Windows

3. Install dependencies:

   pip install -r requirements.txt
   

4. Start Jupyter to view notes in your browser:

   jupyter notebook
   

5. Access .ipynb notebooks files in your IDE locally or open jupyter notebooks directly on GitHub.