?hat Moving from R to Python: The Libraries You Need to Know

One of my favorite parts of machine learning in Python is that it got the benefit of observing the R community and then emulating the best parts of it. I'm a big believer that a language is only as helpful as its libraries. So in this post I'm going to go over some critical packages that I use almost every time I work in R, and their counterpart(s) in Python. One thing that is a blessing and a curse in R is that the machine learning algorithms are generally segmented by package. Meaning instead of having a single (or set) of ML libraries that each implement some common algorithms, each algorithm gets its own package.