Time Series Forecasting with XGBoost - Use Python and Machine Learning to Predict Energy Consumption

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.

Intro
Data prep
Feature creation
Model
Feature Importance
Forecast