Sales Forecasting

Tools: Python, Pandas, Scikit-learn, Matplotlib, Seaborn

This project applies time series forecasting techniques to predict future sales performance based on historical data. The process involves data cleaning, trend analysis, and model evaluation to ensure prediction accuracy. The results visualize sales trends, seasonality, and forecasted values, helping stakeholders make informed business decisions.