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:    • Time Series Forecasting with XGBoost ...  
The notebook used in this video here: https://www.kaggle.com/code/robikscub...

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:   / medallionstallion_  

My other videos:

Speed Up Your Pandas Code:    • Make Your Pandas Code Lightning Fast  
Speed up Pandas Code:    • Make Your Pandas Code Lightning Fast  
Intro to Pandas video:    • A Gentle Introduction to Pandas Data ...  
Exploratory Data Analysis Video:    • Exploratory Data Analysis with Pandas...  

Working with Audio data in Python:    • Audio Data Processing in Python  
Efficient Pandas Dataframes:    • Speed Up Your Pandas Dataframes  

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