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Cab Fare Prediction via Time Series ML by ck is a document available to read on EtoBox.

The document discusses a research project focused on predicting cab fares using time series analysis and machine learning techniques. It aims to enhance transparency in fare pricing by analyzing historical data and various influencing factors such as weather and cab availability. The study evaluates different predictive models, concluding that multiple regression and lasso regression models may provide more consistent performance compared to others.

Author
ck
Language
EN