Learning ML from scratch course recommendations

Key Takeaways

I know that the available courses out there can be overwhelming for beginners so I hope to give you some guidance with this video now you don't need to get too deep into this a great website with free resources is Khan Academy so my recommendation is just to take some basic courses and then move on I recommend two free courses on YouTube one for our beginner course and one six hour intermediate course and then you should have a solid base these libraries are used in almost every machine learning project that's why I would include them in your learning path at this point I recommend just following one free crash course for each library and then later pick up more advanced concepts if you need them there are many great ones available but the most popular and in my opinion also one of the best ones is the machine learning specialization by Andrew on Coursera I suggest to implement a few algorithms from scratch in Python using only pure Python and numpy for this Kegel has awesome free courses on their website I recommend at least the intro to ml and intermediate ml courses for this the best platform is kaggle.com it provides thousands of different data sets and challenges where you can participate