Machine Learning for beginners

I often asked for suggestions for beginner-friendly resources about Machine Learning.

Many people talk about ML these days, and most talk only about the basic staff. But if you are more into structural learning, here you go!

Online Courses

• Coursera is one of the largest learning platforms. I started my journey in ML by taking "Machine Learning" by Andrew Ng class there. And I still have not seen anything better for the beginners.

• Deeplearning.ai platform focuses only on ML/AI-related topics and offers courses for all levels.

Books

• "Machine Learning For Absolute Beginners" by Oliver Theobald

Websites and Blogs

• Towards Data Science on Medium: A platform with articles and tutorials on ML and data science.

• Kaggle: Offers competitions, datasets, and kernels/notebooks for practical ML experience.

• Google's Machine Learning Crash Course: A free course with exercises, lectures, and real-world case studies.

Interactive Learning Platforms

• DataCamp: Offers interactive courses specifically focused on data science and ML.

• Codecademy: Provides a hands-on approach to learning ML and Python.

The best approach is often a combination of these resources. Start with the basics of machine learning and gradually move on to more advanced topics. Practicing by working on projects or participating in competitions is also important to apply what you've learned.

Happy learning!