Welcome to ML With Arefin! This repository contains my journey through Machine Learning, featuring in-depth explanations, projects, and practical applications. π Notebooks, π datasets, and more are included.
- π Google Collab Notebooks (.ipynb - Interactive Python Notebook)
- π Datasets
- π¦ ML + DL Projects
- β Trained Models
- π Streamlit Web Apps
- π» Fast Api
πΈ All of the Notes are available here too --
https://colab.research.google.com/drive/1Sj2fFRcxkQHBn1VsuKYkXtRltLco4Ol0?usp=sharing
Make a copy of this and use in your google colab.
π§ Still updating! This repository has evolved beyond the basics to cover models, their workings, and practical implementations. Stay tuned for more advanced content!
Feel free to clone, fork, or download the repo. Contributions and suggestions are welcome!
git clone https://github.com/Arefin994/ML-With-Arefin.git