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Designed a model to predict personal loan interest rates based on 22 attributes like credit score, Income etc., on real time data containing 19,700 entries. Designed five models using Regression (Generalized & Stepwise), Bootstrap tree, Bootstrap Forest, KNN, Neural Nets and chose Boosted Tree model with Validation R-squared of 83.9% and predict…
Airbnb, a service that connects travelers and homeowners with available rooms, offers a variety of accommodations. Different from other tourism websites, Airbnb, as a tourism platform directly facing rental landlords and tourists, provides a direct communication channel for landlords and tenants, and its relatively innovative form has attracted …
A written report of a regression model to forecast rates of intimate partner violence based on fields measured by the Women, Peace and Security Index, a data set developed by the Georgetown Institute for Women, Peace and Security.
This is a project from my Data-Driven Decision Making class at NYU Stern in Spring 2020. The repository contains pieces of code involved in the project, as well as some screenshots from JMP Pro, but it is not an exhaustive list of everything my group and I did.
In the present years, credit loan becomes one of the most important fundraising approaches for individuals or companies. And with this tendency, credit risk attracts more attention to the financial industry. How to make a reliable prediction of clients’ repayment abilities turn into a significant research project.