Project
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
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