Credit Risk Modelling in Python

Description

Are you interested in learning how to build effective credit risk models using Python and machine learning? Look no further! Our comprehensive online course is designed to take you step-by-step through the entire process, providing you with the skills and knowledge you need to develop powerful credit risk models that can be applied to real-world situations.

This course is conducted entirely in Hindi, making it accessible to a wider audience of learners. Our experienced instructors will guide you through the entire process, providing you with in-depth instruction on the core concepts of credit risk modeling, as well as practical tips and advice on how to apply your knowledge to real-world problems.

You'll learn how to use Python and machine learning algorithms to analyze credit risk data, create predictive models, and interpret the results. We'll cover everything from data pre-processing and feature engineering to model selection and performance evaluation, ensuring that you have a solid understanding of the entire credit risk modeling process.

Whether you're an experienced data scientist or a novice just starting out, this course is designed to provide you with the skills and knowledge you need to take your career to the next level. So why wait? Sign up for our course today and start your journey towards becoming a credit risk modeling expert!

What You Will Learn!

• Complete understanding of each and every methodology used to develop a credit risk model in Hindi language
• Advance feature selection techniques
• Complete understanding of python and library as pandas and numpy
• Building Advance Machine learning model
• Understanding of Explainable AI and model interpretability
• Identify the risky and good customers from credit risk scorecard
• Risk strategy development from credit risk model

Who Should Attend!

• Credit risk modelling using machine learning in python
• Beginner data scientists to enter into fintech domain

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