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1. XGBoost-Ontario-Road-Pavement-Quality XGBoost-Ontario-Road-Pavement-Quality Public

   This notebook (in Python) used eXtreme Gradient Boosting (XGBoost) to predict for good or bad road pavement condition in Ontario. I also performed random search hyperparameter optimization, k-folds…

   Jupyter Notebook 1

2. Neural-Network-California-Regression Neural-Network-California-Regression Public

   Regression with mini-batch gradient descent, He-initialized weights, batch normalization, and gradient clipping was done with a 3-layer neural network to predict median house values ($) in the Cali…

   Jupyter Notebook

3. Statistical-Analysis-on-Operating-Vehicle Statistical-Analysis-on-Operating-Vehicle Public

   This repo contains some exploratory data analyses and preliminary multiple linear regression modeling in R that I did on operating vehicle data (100 .csv files).