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  1. Credit-Card-Default-Prediction-with-imbalanced-data Credit-Card-Default-Prediction-with-imbalanced-data Public

    Kaggle Competition: Predicted Credit Card defaults using Feature Scaling and Logistic Regression with an accuracy of 79% and AUC of 0.88

    Jupyter Notebook

  2. Deep-Learning-Autonobot-Cone-Detection-and-Distance-Estimation Deep-Learning-Autonobot-Cone-Detection-and-Distance-Estimation Public

    Classroom Project: Aim is to detect the presence of traffic cones in images captured around Texas A&M Campus and estimate the distance between the cones and the rover using Deep Learning (Keras)

    Jupyter Notebook

  3. Sentimental-Analysis-of-Amazon-Customer-Reviews Sentimental-Analysis-of-Amazon-Customer-Reviews Public

    The data is a list of over 34,000 consumer reviews for Amazon products like the Kindle, Fire TV Stick, and more provided by Datafiniti's Product Database. The dataset includes basic product informa…

    Jupyter Notebook 1

  4. Datathon-2019-Goldman-Sachs--Strategic-Assessment-and-Recomendation-for-Food-Business-in-US- Datathon-2019-Goldman-Sachs--Strategic-Assessment-and-Recomendation-for-Food-Business-in-US- Public

    A data science approach to derive business insights for better investment decisions in Food Business in US as a part of TAMU Datathon 2019. This challenge was sponsored by Goldman Sachs.

    Jupyter Notebook

  5. Instacart-Market-Basket-Analysis-using-PySpark-and-FP-growth-algorithm Instacart-Market-Basket-Analysis-using-PySpark-and-FP-growth-algorithm Public

     Investigated Instacart Dataset of 3M+ grocery orders to discover purchasing patterns and products with high demand  Implemented FP-growth algorithm in PySpark to build frequent item pairs  Gene…

    Jupyter Notebook 1

  6. Quantitative-and-Statistical-Risk-Analysis-of-Opioid-Epidemic-in-the-US Quantitative-and-Statistical-Risk-Analysis-of-Opioid-Epidemic-in-the-US Public

    Analyzed the risk of Opioid epidemic in the United States using Statistical and Quantitative Risk Analysis tools such as Bayesian Modeling, Data Wrangling, Distribution Analysis, Data Correlation, …