/project-bikesharing

Predicting Bike-Sharing Patterns: first project from the Udacity Deep Learning Nanodegree

Primary LanguageJupyter Notebook

Predicting Bike-Sharing Patterns

In this project which is part of Udacity Deep Learning Nanodegree program, I built a neural network using only Numpy to carry out a prediction problem on bike sharing patterns prediction. This project implements forward and back propagation.

My contribution is located in the my_answers.py . Optionnaly, consult it

Neural network

Setup

  1. Create a new conda environment

conda create --name deep-learning python=3

  1. Activate the environment

conda activate deep-learning

  1. Install dependencies

conda install numpy matplotlib pandas jupyter notebook

  1. Download or clone this predicting-bikesharing repository.

git clone git@github.com:karemsaamba/project-bikesharing.git

Usage

  1. Open up the notebook server

jupyter notebook

  1. Open the notebook and run code cells inside.

Predicting_bike_sharing_data.ipynb

The server is located in: localhost:8888