Performance of various open source GBM implementations

Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions

H2O-3 Examples in R

Machine learning classification model with streamlit deployment.

Monte Carlo & Portfolio Risk Simulator built with Flask, NumPy and Matplotlib. Runs 1,000+ GBM simulations, computes VaR/CVaR, and visualizes stochastic paths — the math Wall Street uses, open source.

I would like to use ML to help high school students focus on the factors that really affect the college admission process and help them to get admitted.

Analyzed the crime events that occurred in the City of Chicago, from 2001 till January 2017, using the data provided from Chicago Police Department’s CLEAR (Citizen Law Enforcement Analysis and Reporting) System

This repository includes code for a predictive model I created which classifies counties that Trump won and a data exploration tool that plots the Trump county score along with a number of demographic variables over a county-level map of the US.

Regression Models - Decision Trees (GBM) and Linear Regression (ElasticNet)

Predict prices of diamond data in ggplot2