Auto-Sklearn: Accelerate your machine learning models with AutoML

AutoML is a relatively new and upcoming subset of machine learning. The main approach in AutoML is to limit the involvement of data scientists and let the tool handle all time-consuming processes in machine learning like data preprocessing, best algorithm selection, hyperparameter tuning, etc., thus saving time for setting up these ML models and speeding up their deployment. There are several AutoML tools available in the market these days. In one of my previous blogathon articles, I had shared a comprehensive guide to AutoML with an easy AutoGluon example. This guide included a list of several AutoML tools currently available in the market.