Project Overview
Created a model that predicts the amount of packages FedEx drivers will drop off on a given day based on tendencies with weather, terrain, and past drop-off data. Used Sci-Kit Learn and Tensorflow to create a model and learn based on csv of data for each driver.
Next step is to use model to assign certain drivers to certain routes based on characteristics of the route given and tendencies of the driver. The system includes a fully functional Route Organizer, which is an automated way to assign drivers to certain routes based on drivers' past data and characteristics of routes.
Tools Used
Python
Scikit-Learn
TensorFlow
Pandas
Machine Learning
Data Analysis