Pranav
6f3e629cc8
First Commit
|
7 years ago | |
|---|---|---|
| .. | ||
| data | 7 years ago | |
| images | 7 years ago | |
| Predicting_Bike_Share_Users.html | 7 years ago | |
| Predicting_Bike_Share_Users.ipynb | 7 years ago | |
| README.md | 7 years ago | |
| my_answers.py | 7 years ago | |
| requirements.txt | 7 years ago | |
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.