This video is a continuation of the previous video on the topic where we cover time series forecasting with xgboost. In this video we cover more advanced methods such as outlier removal, time series cross validation, lag features, and a bonus feature! Check out part 1 here: The notebook used in this video here: Timeline: 00:00 Start 01:05 Outline 02:20 Outlier Removal 04:25 Time Series Cross Validation 10:15 Lag Features 13:15 Training Cross Validation 14:52 Predicting the Future 20:09 Bonus! Follow me on twitch for live coding streams: My other videos: Speed Up Your Pandas Code: Speed up Pandas Code: Intro to Pandas video: Exploratory Data Analysis Video: Working with Audio data in Python: Efficient Pandas Dataframes: * Youtube: @robmulla?sub_confirmation=1 * Discord: * Twitch: * Twitter: * Kaggle: #xgboost #python #machinelearning