Time Series Forecasting with XGBoost - Predict Store Revenue Using Python and Machine Learning
Discover how to build a practical sales forecasting model in Python to predict next year’s store revenue using XGBoost. In this video, we walk through the complete workflow, starting with preparing historical sales data and performing essential feature engineering, then training an XGBoost regression model to capture complex patterns in retail performance. You will learn how to structure time-based data for forecasting, evaluate model accuracy, and generate reliable revenue predictions for the upcoming year. This tutorial is designed for data science enthusiasts, analysts, and anyone interested in applying machine learning techniques to real-world business forecasting problems using Python.
Dataset: https://github.com/Onurbltc/SalesFore...
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