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
Learning Certificates
Showcase Your Skills
Each time you complete a course exam, you earn a certificate that demonstrates your proficiency in that subject matter. We are proud to be able to say that Kubicle certificates are recognized by the most respected employers from around the world.
When you earn internationally-recognized certificates, you increase confidence. And when you enhance your ability, speed and accuracy, you increase your employability.
