After Supervised Machine Learning: Regression, Advanced Learning Algorithms and Unsupervised Learning, Recommenders, I’d like to focus on programming, what would you recommend?
You may go for Python courses or something but I do not understand why you are focusing on programming, after completing MLS. If your goal is to become a Machine Learning Engineer, DLS is your next class, provided that you are already familiar with the basics of Python (not necessary to be expert).
By coding I mean I can understand all code in the examples and lab, but I have difficulties writing them independently myself.
This is a matter of gaining experience. There are lots of sources online for data sets you can practice with.
Any specific recommendations?
- Kaggle. They have designed problems for you to solve.
- Search online for “uci machine learning repository”. Free data sets. Write your own solutions.