https://github.com/devroopsaha744/predicting-time-series-using-xgboost

This repository demonstrates the time series forecasting power of xgboost
https://github.com/devroopsaha744/predicting-time-series-using-xgboost

Last synced: 9 months ago
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This repository demonstrates the time series forecasting power of xgboost

• Host: GitHub
• URL: https://github.com/devroopsaha744/predicting-time-series-using-xgboost
• Owner: devroopsaha744
• Created: 2024-01-06T17:35:30.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-01-09T17:35:53.000Z (almost 2 years ago)
• Last Synced: 2024-01-09T19:55:04.907Z (almost 2 years ago)
• Language: Jupyter Notebook
• Size: 1.01 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Predicting-time-series-using-xgboost

This repository demonstrates the time series forecasting power of xgboost

Here, I converted a timeseries problem into a regression problem. Firstly I extracted features from the datetime column and created 'lagged-value' features ie. old values of the target variable become the input and on the basis of which it will predict the target variable.