How to Learn Machine Learning with Python?

Do you wanna learn machine learning with Python, then this post is right place to start your journey. Today I would like to give some tips for how you can start to learn machine learning.

1) Learn the basics:

Make sure you have some fundamental math knowledge, especially linear algebra and analysis. The algorithms of machine learning is developed with help of complex math equations, so it is really beneficial to understand the basics of math.

2) Start with algorithms:

Before start to build a project you can learn some theory of algorithms of machine learning. Start learning some basic algorithms like linear regression and k-nearest-neighbour. After you acquire essential knowledge it is time to start implement some little projects. With Python you can install packages like Tensorflow or PyTorch and start to build little projects to practice your new skills. Be patient and learn from your mistakes.

3) Build complex projects:

After you master the fundamental skills you can implement some complex projects like face recognition or AI Chat Bot. There is no boundries or restrictions, it is up to your imagination. If you have a specific field in your mind do your research and try to build an interesting project.

I hope you enjoyed this article. I would be happy to see your constructive comments and questions.