Introduction to AutoML using PyCaret

Once upon a time, Automatically trained Machine Learning models are Data Scientist's dream. The typical job of a Data Scientist would be to Identify -- Understand -- Acquire -- Analyze -- Prepare -- Train -- Evaluate -- Convey. But most of their time will be spent just on Preparing, Training and Evaluating phases alone. Sometimes it can be an endless while loop! As more and more businesses turned towards Machine Learning to solve their key problems, Data Scientists were expected to deliver results in a shorter span of time.