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Pied Piper
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Employee-Attrition
Employee-Attrition PublicIdentifying 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
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Kaggle-Nomad2018
Kaggle-Nomad2018 PublicI 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
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Predicting-Breast-Cancer
Predicting-Breast-Cancer PublicGiven a breast tumor's attributes, I used several machine learning models to predict whether if the tumor is malignant or benign
Jupyter Notebook
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House-Prices
House-Prices PublicI used Random Forest to predict a house prices given the house's attributes
Jupyter Notebook
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