NYC Data Science Academy Presents: Kaggle-Winning XGBoost Algorithm Author, Tong He

Updated: Sep 19, 2015

Speaker Bio:
Tong He was a data scientist at Supstat Inc. He has been an active R programmer and developer for 5 years. He is the author of the R package XGBoost, currently one of the most popular and contest-winning tools on kaggle.com.

Pre-requisite:
R /Calculus

Preparation:
A laptop with R installed. Windows users might need to have RTools installed as well.

Agenda:
Introduction of Xgboost
Real World Application
Model Specification
Parameter Introduction
Advanced Features
Kaggle Winning Solution

Reference:
https://github.com/dmlc/xgboost

Vivian Zhang

Vivian is the CTO and School Director of NYC Data Science Academy and CTO of SupStat. With her extensive experience working in the data science field, she developed expertise in multiple programming languages, including R, Python, Hadoop, and Spark. In August 2016, Forbes ranked her amongst one of the nine women leading the pack in data analytics. In 2013, she created the NYC Open Data Meetup group, which stands as one of the largest data science communities offering meetups, conferences, and a weekly newsletter. In her spare time, Vivian enjoys meeting people and sharing her motivational stories with our students and other professionals

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NYC Data Science Academy Presents: Kaggle-Winning XGBoost Algorithm Author, Tong He