GS Quantify is a flagship coding contest organized by Goldman Sachs, a leading global investment bank. They look forward to challenge the best minds of the country on real-world problems that they solve in the realms of computer science (CS), machine learning (ML), and quantitative aptitude. The topics covered include data structures, algorithms, optimization, data science, and many more. This repository contains my approach to Machine Learning problem. Random Forest and XGBoost Modelling method is used. Random Forest model gave me leaderboard score of 302 and XGBoost Model able to hit leaderboard score of 314. Overall Rank 47 among 350 teams from top 25 Engineering Colleges.
Mrpiggybag/GoldmanSachs-Quantify-2017
GS Quantify is a flagship coding contest organized by Goldman Sachs, a leading global investment bank. They look forward to challenge the best minds of the country on real-world problems that they solve in the realms of computer science (CS), machine learning (ML), and quantitative aptitude. The topics covered include data structures, algorithms, optimization, data science, and many more.
Jupyter Notebook