Andrew Yew

With experience in developing data processing and machine learning solutions for numerical and textual data in the manufacturing and technology fields, let me help you identify and realize technical data solutions for your business.

Brief Description

A regressor that predicts the number of bicycle trips starting from each Bixi bicycle station using the geographical coordinates of the station. Using RBF Kernel, station latitude and longitudes were converted to features representing the proximity of each station to the cluster centers identified using KMeans. These proximity features were then used to train a random forest regressor.

Dashboard on AWS EC2 instance: link

GitHub repository: link