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The aim of the work is to build a model to predict traffic volume for a specific point of date and time, given the climatic conditions like rainfall, temperature, percentage of the cloud cover, snowfall and the textual description of climate.

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Federica-96/MetroInterstate_TrafficVolumePrediction

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MetroInterstate_TrafficVolumePrediction

The aim of the work is to build a model to predict traffic volume for a specific point of date and time, given the climatic conditions like rainfall, temperature, percentage of the cloud cover, snowfall and the textual description of climate.

Original dataset is taken by UCI Machine Learning Repository, link https://archive.ics.uci.edu/ml/datasets/Metro+Interstate+Traffic+Volume

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The aim of the work is to build a model to predict traffic volume for a specific point of date and time, given the climatic conditions like rainfall, temperature, percentage of the cloud cover, snowfall and the textual description of climate.

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