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Identify risk of default with predictive analytics

Help a bank identify the risk of customers defaulting on their loan repayments. You’ll use several classification algorithms in order to build a model that can separate likely defaulters from customers who’ll continue paying back their loans.

Python      90 Minutes        1.5 CPE/CPD Credits

Project Steps Involved

1. Securibank’s exposure to default
2. Reading and understanding Securibank’s data
3. Visualizing Securibank’s data
4. Identifying defaulters with Decision Trees
5. Identifying defaulters with Gaussian Naive Bayes
6. Identifying defaulters with Support Vector Machines

Prerequisite Courses

Machine Learning in Python

Advanced Classification

Machine Learning in Python

Decision Trees in Python

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