Investigated and implemented recent academic research papers related to Fundamental, Technical and Sentiment-based analysis

Evaluation of Shallow and Deep learning models for Univariate multi-step time series prediction - Implemented deep learning models such as RNN, LSTMs, Bidirectional LSTM, Encoder-decoder LSTM, and CNN- Conducted an extensive study to minimise the prediction errors along the prediction horizon given the chaotic nature- Analysed and drawn comparisons of these deep learning methods with simple neural networks using SGD and Adam- Conducted various trial experiments in order to… Show more Evaluation of Shallow and Deep learning models for Univariate multi-step time series prediction - Implemented deep learning models such as RNN, LSTMs, Bidirectional LSTM, Encoder-decoder LSTM, and CNN- Conducted an extensive study to minimise the prediction errors along the prediction horizon given the chaotic nature- Analysed and drawn comparisons of these deep learning methods with simple neural networks using SGD and Adam- Conducted various trial experiments in order to determine the optimal hyperparameters for the different datasets- Authoring a research paper which is currently under review and will be published soon in Neurocomputing Journal Show less

Auto-configuration of Network Parameters using Reinforcement Learning