MODULAR MACHINE LEARNING

  Photo by krakenimages from unsplash One of the most incredible things about practicing Python is its continuity of open-source  libraries. There is a library for fundamentally anything. If you have studied some of my preceding blogs, you may have remarked that I’m a big supporter of low-code libraries. That’s not because I’m procrastinating to type code but because I fancy investing my time operating on a project with values. If a library can work a problem, why not preserve your valuable time and give it a try? Today, I will present you with five libraries you have never heard about, but you should attach them to your portfolio. Let’s get started! ----------------------------------------------------------------------------------------------------------------------------- PS: There are lots of amazing resources out there for learning ML and data science. My personal favorite is  DataCamp . This is where I started my journey and trust me it’s amazing and worth your time....