Deep Learning Nanodegree Foundation from Udacity
In this project we had to build a Neural Network from scratch and apply it on a real problem: predict the number of future bike rentals after analyzing a dataset containing information about a period of two years of rentals. The project was written in Python (on a Jupyter Notebook) using the libraries numpy, matplotlib and pandas, running on an Anaconda environment.
- Regression Models
- Neural Networks
- Perceptrons
- Gradient Descent
- Backpropagation