This is a living document where I record my learning journey in machine learning. Contributors are welcome to enhance and expand these notes. I've almost complete my journey. NOW ITS TIME TO LEARN TOOLS AND BUILD SOMETHING.

Note

Pre-requisites: Before diving into machine learning, make sure you are familiar with essential data skills like:

• Python
• Data Analysis
• Exploratory Data Analysis (EDA)
• Data Preprocessing

Learning Path 🚀

1. Grasp the Fundamentals
2. Models
3. Model Selection
4. Model Optimization
5. Evaluation Metrics