Dataset: https://archive.ics.uci.edu/ml/datasets/Bike+Sharing+Dataset
Build a neural network from scratch to carry out a regression prediction problem
Uses Gradient descent method and back-propagation algorithm.
This code is very basic (vanilla) version of the neural network. Network has only one hidden-layer.
- numpy
- pandas
- matplotlib