Deep-Learning-Nanodegree/P1 - Predicting Bike Share Users/README.md

P1: Predicting Bike Share Users

In this project, a neural network is built and trained from scratch to predict the number of bike share users on a given day.

About

A neural network is built to predict the number of bike sharing rides. Considering data from a bike-sharing company (like CycleHop), a neural network is developed to predict from historical data, the number of bikes needed in the future.

Files

• data/* – Dataset used. The data comes from the UCI Machine Learning Database.

• Predicting_Bike_Share_Users.ipynb – Project notebook.

• Predicting_Bike_Share_Users.html – HTML Export of the project notebook.

• my_answers.py – Contains the neural network implementation.

• requirements.txt – List of dependencies.

License

Modified MIT License © Pranav Suri