Time series Forecasting
Business Objective: Build a Forecasting model to the given data of quarterly US consumer PC sales (1995-2022) and forecast the sales for the next 5 years
Technique: Several time series techniques like Exponential Smoothing, ARIMA & AutoReg can be used to model the time series
Solution & Approach:
- Stationary checks were conducted & modified the series using differencing operators
- ACF & PACF plots were used to identify AR & MA lags
- Several techniques were developed using the train dataset & validated on test dataset
Results:
