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This is the first project in my Deep learning nanodegree : Build a neural network from scratch to predict the number of bikeshare users in a given day

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ZSoumia/Neural-Network-to-Predict-Bike-sharing-patterns-

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Neural-Network-to-Predict-Bike-sharing-patterns-

1.Introduction :

Goal: Build a neural network to predict bike sharing rides.
Dataset: The core data set is related to the two-year historical log corresponding to years 2011 and 2012 from Capital Bikeshare system, Washington D.C., USA which is publicly available in dataset And further informations about the dataset can be sounf here : Bikeshare dataset readme

2. Getting started :

Used tools :

  • numpy .
  • Pandas .
  • matplotlib.

Clone the project :

$ git clone https://github.com/ZSoumia/Neural-Network-to-Predict-Bike-sharing-patterns-

3.License :

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.

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This is the first project in my Deep learning nanodegree : Build a neural network from scratch to predict the number of bikeshare users in a given day

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