How am I here?

You want learn Machine Learning? This is the roadmap that I followed.

1. Learn Python- Python is the major programming language used in Machine Learning and Data Science. It's easy to understand and work great with Jupyter notebooks. I will suggest to read the book Python Crash Course.

2. Statistics and Linear Algebra- These are the fundamental for Machine Learning. You can learn both from YouTube. Statistics by Code Basics Linear Algebra from 3Blue 1Brown

3. Learn Numpy and Pandas- Numpy and Pandas are the libraries that will make it easier and faster to apply math on datasets of arrays. You learn Numpy and Pandas by Numpy by Patrick Loeber Pandas via Kaggle

4. Learn ML! - I will recommend you to learn ML from two platform. • kaggle- Kaggle gives you hands-on-experience and it's better and easy but it cover the theory part very less. • Google Machine Learning Crash course- It's great and little bit harder than Kaggle and lengthier but it's easy than many courses and it teaches theory part of ML pretty well.