Time Series Forecasting in Python – Tutorial for Beginners

A comprehensive beginner's tutorial covering time series forecasting fundamentals in Python. Explores time series components (trend, seasonality, residuals), baseline models, and statistical forecasting techniques like ARMA and seasonal ARMA. Demonstrates practical implementation using statsforecast library, cross-validation for robust model evaluation, working with exogenous features, and generating prediction intervals. Includes hands-on coding examples with real bakery sales data.