| Instructor name | Instructor LinkedIn profile | Instructor Github |
|---|---|---|
| Rohan Azad | Github |
| Course Link | Language |
|---|---|
| Credit Risk Modeling using Machine Learning | Hinglish |
Note: This is the free but quality course offered by CampusX.
Description:
This course dives deep into the application of machine learning techniques for assessing credit risk in financial institutions. Participants will learn how to build predictive models for credit risk assessment, leveraging machine learning algorithms and techniques to enhance decision-making processes based on customer data and financial indicators.
Key Highlights:
- Machine learning in credit risk assessment
- Building predictive credit risk models
- Enhancing decision-making processes with data-driven insights
What you will learn:
-
Understanding Credit Risk Modelling
- Learn the fundamentals of credit risk assessment and the role of machine learning in modelling credit risk.
-
Data Preprocessing and Feature Engineering
- Explore data preprocessing techniques and feature engineering methods to prepare data for credit risk modelling.
-
Building Machine Learning Models for Credit Risk
- Implement machine learning algorithms to develop accurate predictive models for credit risk assessment.
-
Evaluation and Interpretation of Credit Risk Models
- Learn how to evaluate credit risk models and interpret their results to make informed decisions in a financial context.
| Instructor name | Link |
|---|---|
| Session 1 - Business Overview of the Project |  |
| Session 2 - EDA and Feature Engineering | |
| Session 3 - Model Selection | |
| Session 4 - Model Serving and Deployment | |