https://github.com/zohaibramzan/time-series-forecasting-using-scikit-learn

In this Task, i have done time series forecasting for Energy Consumption using Classical Machine Learning Algorithms (Random Forest Regressor, SV Regressor, KNN Regressor). Also i tried to explore how to do cross-validation with time series data with different time dependent features.
https://github.com/zohaibramzan/time-series-forecasting-using-scikit-learn

Last synced: 3 months ago
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In this Task, i have done time series forecasting for Energy Consumption using Classical Machine Learning Algorithms (Random Forest Regressor, SV Regressor, KNN Regressor). Also i tried to explore how to do cross-validation with time series data with different time dependent features.

• Host: GitHub
• URL: https://github.com/zohaibramzan/time-series-forecasting-using-scikit-learn
• Owner: ZohaibRamzan
• Created: 2021-09-09T15:26:44.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-09-09T15:38:30.000Z (over 3 years ago)
• Last Synced: 2025-01-12T15:08:31.143Z (5 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 36.1 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Time-Series-Forecasting-sklearn-

In this Task, i have done time series forecasting for Energy Consumption using Classical Machine Learning Algorithms (Random Forest Regressor, SV Regressor, KNN Regressor). 

Also i tried to explore how to do cross-validation with time series data with different time dependent features.