Welcome to my 100 Days of Machine Learning project! In this repository, I will document my journey as a beginner in the field of Machine Learning.
This project is a personal challenge to learn Machine Learning for 100 days straight. Every day, I will study, practice, and document what I have learned. My goal is to become proficient in the fundamentals of Machine Learning and develop practical skills that I can use in real-world projects.
I am doing this project to learn Machine Learning from scratch and gain hands-on experience in the field. As a beginner, I believe that the best way to learn is to practice and apply what I have learned. Through this project, I hope to build a strong foundation in Machine Learning that will enable me to tackle more advanced concepts in the future.
During this project, I will cover a range of topics related to Machine Learning, including:
- Data preprocessing and visualization
- Supervised learning algorithms such as regression and classification
- Unsupervised learning algorithms such as clustering and dimensionality reduction
- Model evaluation and selection
- Deep Learning and Neural Networks
- Reinforcement Learning
You can use this repository to follow along with my journey and learn Machine Learning alongside me. Each day, I will document what I have learned and provide code examples and datasets that you can use to practice on your own.
If you find any errors or have suggestions on how to improve my learning journey, feel free to open an issue or submit a pull request. I welcome all feedback and suggestions!
I want to thank the entire Machine Learning community for their support and resources. Without their contributions, this project would not be possible.