Data Visualization Part-3: Seasonality and Trend Analysis

One major task performed before we start building our model for forecasting was Smoothening. We need to detrend the data, take care of the seasonality component and thereby taking care of the noisy data. As we saw there was a peak seen when we looked at the original data, that peak in the data can hamper our results hence we need to take care of that.

Decomposition of Time-series Data

For better understanding refer: https://machinelearningmastery.com/decompose-time-series-data-trend-seasonality/