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  1. Stock-Market-Prediction-Using-Natural-Language-Processing Stock-Market-Prediction-Using-Natural-Language-Processing Public

    We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time period, in order to make predictions in stock trends. We built a…

    Jupyter Notebook 77 35

  2. Market-Risk-Management-with-Time-Series-Prediction-of-Stock-Market-Trends- Market-Risk-Management-with-Time-Series-Prediction-of-Stock-Market-Trends- Public

    Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time series analysis and prediction of short-term tends in stock pri…

    Jupyter Notebook 22 11

  3. Gesture-Recognition-Using-RNN Gesture-Recognition-Using-RNN Public

    This project investigates gesture recognition techniques using Leap Motion Controller to collect 3 dimensional hand features such as coordinates, position of the hand, etc. We then use this raw dat…

    Python 20 8

  4. PropensityToConvert PropensityToConvert Public

    Propensity models make true predictions about a customer’s future behavior. With propensity models you can truly anticipate a customer's future behavior. Here we focus on building a combination of …

    Jupyter Notebook 18 17

  5. Language-Detection-MultinomialLogisticRegression Language-Detection-MultinomialLogisticRegression Public

    Language Detection using the European Parliament Proceedings Parallel Corpus. European Parliament Proceedings Parallel Corpus is a text dataset used for evaluating language detection engines. The 1…

    Jupyter Notebook 3 1

  6. Logistic-Regression Logistic-Regression Public

    An example that illustrates logistic regression analysis

    R 1 4