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.
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.
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.