In this video tutorial we walk through a time series forecasting example in python using a machine learning model XGBoost to predict energy consumption with python. We walk through this project in a kaggle notebook (linke below) that you can copy and explore while watching. Notebook used in this video: https://www.kaggle.com/code/robikscube/time-series-forecasting-with-machine-learning-yt Timeline: 00:00 Intro 03:15 Data prep 08:24 Feature creation 12:05 Model 15:35 Feature Importance 17:33 Forecast Follow me on twitch for live coding streams: https://www.twitch.tv/medallionstallion_ My other videos: Speed Up Your Pandas Code: https://www.youtube.com/watch?v=SAFmrTnEHLg Speed up Pandas Code: https://www.youtube.com/watch?v=SAFmrTnEHLg Intro to Pandas video: https://www.youtube.com/watch?v=_Eb0utIRdkw Exploratory Data Analysis Video: https://www.youtube.com/watch?v=xi0vhXFPegw Working with Audio data in Python: https://www.youtube.com/watch?v=ZqpSb5p1xQo Efficient Pandas Dataframes: https://www.youtube.com/watch?v=u4_c2LDi4b8 * Youtube: https://youtube.com/@robmulla?sub_confirmation=1 * Discord: https://discord.gg/HZszek7DQc * Twitch: https://www.twitch.tv/medallionstallion_ * Twitter: https://twitter.com/Rob_Mulla * Kaggle: https://www.kaggle.com/robikscube #xgboost #python #machinelearning