This assignment is to implement, describe, and test Re-current Neural Networks (RNNs) to predict stock prices in the future, using Google Stock Price dataset on Kaggle. The submission will take the form of a conference paper.[查看全文]

Use H2O and LIME for Neural Network Predictions[查看全文]

Explore the data set with scatter plots and compute the correlation matrix.[查看全文]

Tree and Ensemble Learning[查看全文]