eBook: Loan Risk Analysis with Databricks and XGBoost

A Databricks guide, including code samples and notebooks
For companies that make money off of interest on loans held by their customer, it’s always about increasing the bottom line. Being able to assess the risk of loan applications better can save a lender the cost of holding too many risky assets. Data scientist and engineers can run an analysis on customer data and make business rules that can vastly impact the loan approval process for the better. 

In this ebook, you will learn 
    • To use the public Lending Club loan data in Databricks.
    • Execute ETL and ML pipelines
    • Model tuning with XGBoost Logistic Regression
    • Do loan risk analysis with code sample

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