Welcome to my collection of Machine Learning projects. This repository chronicles my journey through the fascinating world of Machine Learning, featuring various models and their corresponding pipelines.
This repository serves as a comprehensive log of my Machine Learning projects, showcasing various programs and models crafted using Python.
Current Release: 2.0
Last Updated: June 2024
Dive into my curated selection of Machine Learning projects. Each folder contains a distinct model and its associated pipeline, ready for exploration and learning.
Arihant Bhandari
Explore each directory to find:
- 🤖 A Machine Learning model
- 🛤️ Its full ML pipeline
- 📝 Detailed documentation and usage instructions
Feel free to contribute, raise issues, or suggest improvements as you explore the repository.
Interested in contributing? Contact me though Issues or Discussions, or hit me up on my Socials.
Special thanks to all the resources, tutorials, and communities that have contributed to my learning journey.
- New Structure:
- Projects: This directory contains all my individual projects, each with its unique focus and datasets.
- ML Models from Scratch: This directory includes code for models written from scratch without relying on high-level libraries. These implementations focus on using fundamental mathematical concepts, utilizing only necessary libraries like NumPy and Pandas, and occasionally Seaborn (sns) and Matplotlib (plt) for plotting.
- Initial version with a straightforward structure where data and models were directly added to the repository after being worked on.
Enjoy exploring the projects and feel free to reach out with any questions or feedback!