Walk through a time series forecasting example using Python and XGBoost to predict energy consumption. Learn data preparation techniques, feature creation, model building, and feature importance analysis. Follow along with a Kaggle notebook to gain hands-on experience in applying machine learning to time series data. Explore the entire process from data preprocessing to generating forecasts, with a focus on using XGBoost for accurate predictions.