Kaggle Competition - IEEE-CIS Fraud Detection - Project Presentation

Topic: Kaggle Competiton - IEEE-CIS Fraud Detection - Project Presentation.
Models and techniques used: Gradient Boosting, SMOTE, Stratified Cross-Validation
Description: Utilized machine learning techniques such as SMOTE and GBM to improve the efficacy of fraudulent transaction alerts to empower businesses to reduce fraud loss and strengthen competitiveness in Kaggle.
Completion time: One week
Presentation Date: September 19, 2019
Location: NYC Data Science Academy
Speakers: Fred(Lefan) Cheng, Luke Gray, Rajesh Earlu, Jose Gonzalez, Alyssa Wei
Code: github.com/Lef...
My Linkedin: / lefancheng
My Email: [e-mail]