Hi all! This is Maran.
I have completed course-1 in ML Specialization.
Can someone suggest some reference/support material that would help me to practice more on topics that are taught in the course videos?
Any help would be much appreciated as I am a newbie to ML and coding…
Thank you in advance for your help!
I recommend you continue with Course 2 before you look for additional projects.
If you are new to coding, you should certainly take an introduction course in Python programming.
Thank you for your quick response Mr.Tom.
I know basics of Python like datatypes, functions, logics (if-else) etc…
Are these enough for Advancing my knowledge?
One more query of mine: I know basics of numpy,pandas,Matplotlib.
Would you suggest me to learn in depth in these libraries and memorise many methods and functions pertaining to them or let it be need based learning, meaning I can ponder about a new function if I come across any.
Thank you in advance for your reply…
Yes, they are a good basis.
No, you don’t need to memorize these details, because you can always look up how the functions work in their online documentation.
Thank you Mr.Tom.
Also, I am in a dilemma: 1. Should I complete the course with whatever extra library knowledge they teach, eg. Scikit, TensorFlow etc… and then learn them in detail afterwards?
2. Or should I parallely learn SciKit and TensorFlow
Requesting help please…
Thank you in advance.
Either way is fine.