Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions
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Updated
Sep 11, 2017 - HTML
Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions
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.
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
H2O-3 Examples in R
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.
Regression Models - Decision Trees (GBM) and Linear Regression (ElasticNet)
Predict prices of diamond data in ggplot2
Machine learning classification model with streamlit deployment.
Performance of various open source GBM implementations
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