End-to-end demand forecasting with Python using synthetic time-series sales data. Includes data generation, cleaning, ARIMA/SARIMA model selection by AIC, evaluation with RMSE and MAPE, and 90-day ...

Various charts are used to represent the data: 📊 Bar Charts – For comparing categories 📈 Line Charts – For trend analysis 📉 Histograms – For distribution understanding 🔵 Scatter Plots – For ...