A Beginner’s Guide to Time Series Modelling Using PyCaret

When it comes to determining whether a business will succeed or fail, time is the most important factor. Pre-processing, trend normalization, and, most importantly, a cross-check of all available algorithms take time when building a robust forecasting model from scratch. There are a variety of AutoML tools in the market that allow us to perform modelling on raw data with just a few lines of code, saving our time. However, in this article, we will concentrate on PyCaret, an AutoML tool. Time series modelling necessitates special treatment due to the presence of its component, which PyCaret provides. The main points to be discussed in this article are given in the below table of contents. Table of Contents What is Time Series Modelling?All About PyCaret Quick Start Modelling with