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1. Anomaly-Detection-LSTM-AutoEncoder Anomaly-Detection-LSTM-AutoEncoder Public

   Goal of this project is to build and train a Long Short Term Memory based Autoencoder model to detect anomalies (i.e. sudden price changes) in the S&P 500 index data.This is implemented using Keras…

   Jupyter Notebook 2

2. Disease-Named-Entity-Recognition Disease-Named-Entity-Recognition Public

   This repository includes NER engine to extract disease names from unstructured text using Keras and tensorflow backend

   Jupyter Notebook

3. kaggle-house-prices-advanced-regression-techniques kaggle-house-prices-advanced-regression-techniques Public

   This repository includes jupyter notebooks for EDA, feature engineering and modelling to predict housing prices in Ames, Iowa

   Jupyter Notebook

4. Predicting-Customer-Churn-for-Ride-Sharing-Company Predicting-Customer-Churn-for-Ride-Sharing-Company Public

   Goal of this case study is to predict rider churn for a ride sharing company in San Francisco and identify the factors that influence churn rate

   Jupyter Notebook