Tensorflow

Natural Language Processing with Disaster Tweets

RNN model in Tensorflow to classify whether Tweets are about a disaster or not. The data provided is in a tabular format and requires quite a lot of pre-processing for the model. Different normalization methods are applied to each column based on their type and tokens also had to be prepared for the embedding layer.

Stock Price Prediction with RNNs

Trained and tested multiple Tensorflow Time-Series models on S&P’s historical closing prices. The data was obtained from Yahoo Finance and showed the daily closing prices for 5 years. Since prices during the test period appear to be higher than the training period, I applied the MinMaxScaler to the data and then processed them into sequences with a window of 5 days and step of 1 day.