This is a special type of data because in this type of data sequence in which things have happened matters.

Step 1 : Feature Engineering

Here we don’t do train validation test split cause it will break the sequence information!!

Step 2 : Model Building => Supervised Machine Learning => Regression (Time Series Forecasting) Problem

Time series modelling usually deals with regression task on time series based dataset, below we will see algorithms to do this!!

1. Univariate Time-Series-Forecasting (1 feature dataset)
2. Multivariate Time-Series-Forecasting (>1 feature dataset)

These are also called sequential models because we are using them to solve a sequential problem.