Can a Long Short-Term Memory Model Produce Accurate Stock Price Predictions?: A Deep Learning Approach to Predicting Apple Inc. Stock Price.
Parts of code from my MSc. dissertation project. Uses yahoo API to load past stock data for training and backtesting various traditional and experimental models for VaR calculation. Written in R & Python.
App to carry out simple experiments of the use of LSTM networks in time series forecasting. It allows users to solves univariate and multivariate regression problems by testing different set of features, and comparing the effectiveness of the obtained results.
Understanding Real Estate Market Through Zillow Economic Data: a Time-Series and Machine Learning Approach
Kaggle - Outbrain Click Prediction (Oct-2016 - Jan-2017)
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