A neural network made from scratch using numpy and pandas.
- Jupyter notebook - an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.
- Numpy - A library for helping in matrix
- Pandas - A data analysis tool
- Git clone the folder to your computer
- Run the jupyternote book from any repos you like. ( make sure you have either Anaconda or virtual env running jupyternotebook )
- Run each block of code to see what happens at each step.
- Generate random sleeping hours, and study hours as labels and test scores as features.
- Use numpy to Average the test scores.
- Add weights and hyperparameters for nodes.
- Create neural network with forward propagation.
- Create the neural network and add back propagation.
-Farhana