Time Series Forecasting with ARIMA and SARIMA
This repository provides a comprehensive implementation of time series forecasting using ARIMA and SARIMA models. It includes data preprocessing, model selection, hyperparameter tuning, and evaluation to ensure accurate predictions.
Data preprocessing and visualization
Stationarity & Stationatiry
Auto ARIMA for optimal parameter selection
Model diagnostics and performance evaluation
Forecasting future values