Welcome to my 100 Days of Machine Learning repository! This repository contains all my practice files and notes as I follow along with CampusX "100 Days of ML" playlist on YouTube. The goal of this repository is to document my learning journey and provide useful resources for anyone else who is also following this playlist or looking to learn machine learning.
The "100 Days of ML" playlist by CampusX is an extensive series designed to teach machine learning from scratch. Each day focuses on different topics ranging from basic concepts to advanced techniques in machine learning and deep learning.
You can find the playlist here.
This repository is organized by days, each corresponding to a video from the playlist. Each folder contains:
- Notebook files (
.ipynb): Jupyter notebooks with code and explanations. - Data files: Any datasets used in the exercises.
- Notes: My personal notes and summaries of the concepts covered.
- Clone the repository:
git clone https://github.com/yourusername/100-days-of-ml.git
- Navigate to the desired day:
cd 100-days-of-ml/Day-1 - Open the Jupyter notebook:
jupyter notebook
A huge thanks to Nitish Singh for creating the "100 Days of ML" playlist and making machine learning accessible to everyone. You can follow his work and learn more about him at:
If you find any errors or have suggestions for improvements, feel free to create an issue or submit a pull request. Your contributions are welcome!
This project is licensed under the MIT License - see the LICENSE file for details.