The Coolest Data Science Library I Found in 2021

I became a data scientist because I like finding solutions for complex problems, the creative part of the job and the insights I gain from the data is what I enjoy the most. The boring stuff like cleaning data, preprocessing, and tuning hyperparameters brings me little joy, and that's why I try to automate these tasks as much as possible. If you also like automating the boring stuff you will love the library I am about to introduce in this article. As I mentioned in a previous article, the current state of the art in machine learning is dominated by deep learning in the case of perceptual problems and boosting methods for regression problems. Nobody is using the linear regression from Scikit-Learn to predict house prices in a Kaggle competition these days because the XGboost method is just more accurate.