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Deep-Learning-Nanodegree
mirror of https://github.com/pranavsuri/Deep-Learning-Nanodegree
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P1 - Predicting Bike Share Users
Pranav 6f3e629cc8 First Commit 6 years ago
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data 6f3e629cc8 First Commit 6 years ago
images 6f3e629cc8 First Commit 6 years ago
Predicting_Bike_Share_Users.html 6f3e629cc8 First Commit 6 years ago
Predicting_Bike_Share_Users.ipynb 6f3e629cc8 First Commit 6 years ago
README.md 6f3e629cc8 First Commit 6 years ago
my_answers.py 6f3e629cc8 First Commit 6 years ago
requirements.txt 6f3e629cc8 First Commit 6 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.

Output

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