This repository contains my notes and projects from the Fastai course taught by Jeremy Howard. The Fastai course is a comprehensive deep learning course that covers various topics in machine learning and deep learning.

• Course Name: Fastai Deep Learning for Coders
• Instructor: Jeremy Howard
• Course Website: Fastai Course

• Course Overview
• Course Materials
• Notes
• Projects
• License

You can find all the course materials, including lectures, notebooks, and additional resources, on the Fastai course website. Make sure to check the official website for the most up-to-date content.

In this repository, I'm also working on practical projects related to the Fastai course. You can find my project implementations in the projects directory.

• Project 1: Image Classification
• Project 2: Natural Language Processing

Each project directory contains code, datasets, and documentation related to the project. Feel free to explore and use these projects as examples for your own work.

This repository is provided under the MIT License. You are free to use, modify, and distribute the contents of this repository, but please make sure to give proper attribution to the Fastai course and Jeremy Howard when appropriate.

Happy learning!