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  1. Employee-Attrition Employee-Attrition Public

    Identifying whether an employee will leave the company based on an employee's attributes. I used ML algorithms such as Random Forest, Logistic Regression, Naive Bayes, and LightGBM

    Jupyter Notebook

  2. Kaggle-Nomad2018 Kaggle-Nomad2018 Public

    I placed top 16% in the world on Kaggle in this competition. I used keras and tensorflow for deep learning and several ensembles with least correlated estimates to optimize for accuracy.

    Jupyter Notebook 1

  3. Predicting-Breast-Cancer Predicting-Breast-Cancer Public

    Given a breast tumor's attributes, I used several machine learning models to predict whether if the tumor is malignant or benign

    Jupyter Notebook

  4. House-Prices House-Prices Public

    I used Random Forest to predict a house prices given the house's attributes

    Jupyter Notebook