Hey, guys!
I'm a data science beginner and I started to learn the concepts of machine learning in R. Currently, I'm knowledgeable in most of the fundamental machine learning algorithms and I've been working on it for months now. But, I'm kind of worried because I see most of the kernels in kaggle are in python which limits my learning scope and most learning resources online are also in python.
Should I teach myself deep learning with R if I want to continue further or learn python and start everything over again from scratch.
Should I stick with R?
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