How to get started with ML
This is a minimal study guide to get started with Machine Learning.
Watch the video on YouTube.
1. Learn Python
2. Learn The ML Tech Stack:
- NumPy: 1h NumPy Crash Course
- Pandas: 1h Pandas Crash Course
- Optional: Matplotlib: 3h Matplotlib Course
3. Machine Learning Courses
Pick one of those three courses:
- Machine Learning Crash Course | Google
- Kaggle Intro to Machine Learning
- Machine Learning Course Andrew Ng| Coursera
4. Practise!
Solve Challenges and build your own projects with datasets from Kaggle.com.
Books
If you prefer learning with books, these are great recommendations:
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
- Machine Learning with PyTorch and Scikit-Learn
What about math?
You don't have to worry too much about math until this point. But if you want to get a deeper understanding, you can check out these resources: