Machine learning was a completely new subject to me. With the help of this course and the knowledgeable and esteemed professors teaching it, I learnt many of the basic concepts of machine learning and data science. Combining it with Python helped me visually experience it as I learnt it. The case studies were helpful in understanding practical aspects of machine learning. The data preprocessing module was detailed and dealt with a lot of ways in which data cleaning could be done. I understood how gradient descent works, what are Random Forests and SVMs, the basic ideologies of Neural Networks, and I’m pleased to say that I can also implement these concepts in Python using the scikit-learn package.

I would definitely recommend this course for beginners starting out on machine learning.

I would like to thank GITAA for helping me on my journey to learn data science and machine learning.