/Predicting-Bike-Sharing-Patterns-Project

Predicting-Bike-Sharing-Patterns-Project Using RNN

Primary LanguageJupyter Notebook

Predicting-Bike-Sharing-Patterns

DLND Predicting Bike-Sharing Patterns Project

Getting Started

This Bike-Sharing-Dataset has the number of riders for each hour of each day from January 1 2011 to December 31 2012. The number of riders is split between casual and registered, summed up in the cnt column. You can see the first few rows of the data above.

Prerequisites

  • Python 3.7
  • Numpy
  • Pandas
  • Matplotlib
  • Jupyter Notebook
  • PyTorch

Environment:

Anaconda

Jupyter Notebook

  • Your_first_neural_network.ipynb