Your weekend guide to mastering Machine Learning, one spark at a time
A collection of hands-on Machine Learning scripts built using Python — perfect for learners, developers, and data enthusiasts.
This repository is part of the Saturday ML Sparks Instagram series, where we explore core ML workflows and real-world techniques in simple, practical scripts.
Each script focuses on a specific Machine Learning concept or technique, designed to help you:
- Understand classic ML algorithms
- Build, evaluate, and optimize models
- Visualize results and interpret performance
- Apply ML on real-world datasets with minimal setup
The goal is to make Machine Learning simple, structured, and practical — whether you’re learning or experimenting.
- Python 3.8+
- scikit-learn
- matplotlib
- pandas
- numpy
Additional libraries (if any) are mentioned inside each script.
- Clone this repo or download individual notebooks
- Open in Jupyter Notebook / JupyterLab
- Run each cell and follow the comments for guidance
- Check the corresponding Instagram post for visual explanations and insights
These scripts are part of the Saturday ML Sparks ⚡📊✨ series on Instagram.
Follow for weekly ML tutorials, insights, and practical examples:
@python_scripts
This project is open-source under the MIT License.