Modifies a neural network's hyperparameters, activation functions, cost functions, and regularization methods to improve training performance and generalization.

This is an expansion of dsb318-group4 (see repo: dsb318-group4), in which we collaborated to predict high school graduation rates in CA from other trends (e.g., poverty rate, availability of e-cigarettes). Collaboration between Eli and Emily.

A beginner's investigation into the world of neural networks, using the MNIST image dataset

This is our project for Data Visualisation created on Tableau. It is a detailed case study on Global School Dropout rates. The dataset used in this case study is sourced from Kaggle.