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Kaggle competition
Forecast future traffic to Wikipedia pages
Kaggle: https://www.kaggle.com/c/web-traffic-time-series-forecasting
Forecast future traffic to Wikipedia pages
Files for COMPGW02 Web Economics group assignment Group 1
Download all PDF files in single webpage
Web Traffic Time Series Forecasting, forecast future traffic to Wikipedia pages
For https://www.kaggle.com/c/web-traffic-time-series-forecasting team
# 65 / 1095 with rolling medians
Based on the Kaggle competition "Web Traffic Time Series Forecasting (https://www.kaggle.com/c/web-traffic-time-series-forecasting) It uses an ARIMA model to predict pages visualisation. It use the key_2.csv file from the Kaggle competition page with the list of pages and dates for each page to predict, and use the train_2.csv file as training dataset
92nd Place Solution in the competition organized by Kaggle
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EDA and simple modelling for the WebTraffic of Wikipedia. Kaggle: https://www.kaggle.com/c/web-traffic-time-series-forecasting
Web traffic over pages have been foretasted using "TIME SERIES- ARIMA, BOOSTING METHODS OF REGRESSION and PROPHET".
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