LogoAlan Craig Data Science Portfolio Architecture

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/* Regression: predict demand for bicycle rentals

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Capital Bikeshare would like to find out how many bicycles need to be ready at a given time in the Washington, D.C. market.

The goal for this Regression predicton project is to build and train a regression model on the Capital Bike Share (Washington, D.C.) Kaggle data set, in order to predict demand for bicycle rentals at any given hour, based on time and weather, e.g.: “Given the forecasted weather conditions, how many bicycles can we expect to be rented out (city-wide) this Saturday at 2pm?”

The steps in this project are:

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