Web Traffic Forecasting using Time Series Analysis
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This project analyzes and forecasts web traffic for Wikipedia articles using time series analysis techniques. It's designed for data scientists and analysts who want to predict future website traffic patterns by applying methods like ARIMA and Facebook's Prophet to historical pageview data. The project follows a complete data science lifecycle, from data mining and cleaning to feature engineering and model evaluation, making it suitable for anyone looking to implement end-to-end time series forecasting solutions.