© Manuel Amunategui, Mehdi Roopaei 2018
Manuel Amunategui and Mehdi RoopaeiMonetizing Machine Learninghttps://doi.org/10.1007/978-1-4842-3873-8_2

2. Client-Side Intelligence Using Regression Coefficients on Azure

Manuel Amunategui1  and Mehdi Roopaei2
(1)
Portland, Oregon, USA
(2)
Platteville, Wisconsin, USA
 

Let’s build an interactive web application to understand bike rental demand using regression coefficients on Microsoft Azure.

For our first project, we’re going to model the Bike Sharing Dataset from the Capital Bikeshare System using regression modeling and learn how variables such as temperature, wind, and time affect bicycle rentals in the mid-Atlantic region of the United States (Figure 2-1).
Figure 2-1

Our final web application for this chapter ...

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