Web traffic time series Forecast Predictions

Niketkumardheeryan / ML-CaPsule

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

MIT License

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Web traffic time series Forecast Predictions #943

Closed AMAN1011011 closed 1 month ago

AMAN1011011 commented 1 month ago

This project focuses on forecasting future web traffic for 145,000 Wikipedia articles. The task involves analyzing historical data and predicting real future events. Participants can explore various methods such as univariate and multivariate models, metadata utilization, hierarchical time series modeling, data augmentation, anomaly detection, and imputation strategies. The goal is to develop advanced time series forecasting techniques to accurately predict web traffic patterns.

github-actions[bot] commented 1 month ago

Thanks for creating the issue,Please read the Pinned issued first and Readme.md in each Pull Request you made. Keep learning...

AMAN1011011 commented 1 month ago

Request for a new project. please review

invigorzz313 commented 1 month ago

@AMAN1011011 the issue is assigned.