/Predicting-Bike-Sharing-Data

Predicting Bike-Sharing Data

Primary LanguageJupyter Notebook

Predicting-Bike-Sharing-Data

by Victoria Perez Mola

Introduction

The project consists in building a neural network from scratch to carry out a prediction problem on a dataset from the UCI Machine Learning Database that contains the hourly and daily count of rental bikes between years 2011 and 2012 in Capital bikeshare system with the corresponding weather and seasonal information.

Learning objectives

Have a better understanding of gradient descent, backpropagation, and to apply neural networks to solve real prediction problems.

Instructions

  1. Clone or download the repository
  2. run !pip install requirements.txt