Greetings!
First of all, I want to clear, I don't major in computer sciences but learn HTML and C++ from online courses and after doing some projects for different clients. Now, I am looking to learn machine learning but it is challenging to decide either Python or R? I just read this article
https://courses.ajaytech.co/p/r-vs-python to increase my understanding.
When I talk with experts most of them suggested me to go with Python and try to get enrollment for any of online course like the followings even the free ones like Audacity, Udemy etc.
However, I want to willing to go with R because of great interest in statistics. What's your suggestion? Please come with feasible suggestions.
On the other hand, do you think an online course would be the right choice? What about the institutes?
I am waiting for your responses.
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Bear in mind that I do not have much experience with R, while Python is my primary language, so I may be biased. But as someone who has been doing data science for the last few years, let me assure you that Python is more than adequate for virtually any data science application. And machine learning in Python is very powerful, with dozens libraries available. I personally have delved in TensorFlow and Keras, and the latter is absolutely amazing.
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It is hard for me to give suggestions as far as courses go, since I have never taken one myself: I switched from C++ to Python when I started my PhD program and learned the language on the fly. I have used mostly random online guides and source code to learn the language. In my opinion, you learn the language much better when you are working on something, than when you just study it in the abstract manner.
If you want to learn the language in depth, I would buy a solid comprehensive book on it, such as this one: https://www.amazon.com/Python-Data-Analysis-Wrangling-IPython-ebook/dp/B075X4LT6K And, of course, taking a solid online course would not hurt. I am not sure what benefits paid ones have over free ones; I would try out a couple of free ones and see if they work for you.
As far as real world problems to serve as exercises go, this is the primary website: https://www.kaggle.com/ Bear in mind that it is a very serious commitment, and most problems take a while to finish. But it is probably the most practical way to learn, as you will be solving the same problems as data scientists in real companies do. Practice on Kaggle can easily be converted into a strong resume, and employers highly value it.
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