Udemy - Credit Scoring with Machine Learning - A Practical Guide

Credit Scoring with Machine Learning: A Practical Guide

https://WebToolTip.com

Published 7/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 27m | Size: 927 MB

Learn Credit Scoring, Machine Learning, and Python

What you'll learn
Develop a solid understanding of credit scoring and risk-based pricing, and how these concepts are used in real-world lending decisions
Build, train, and evaluate machine learning models using Scikit-learn and Python
Explore and prepare credit data using pandas and Jupyter Notebook
Interpret model outputs and performance metrics, including confusion matrices, ROC curves, AUC, and cost-based evaluation
Understand the impact of false positives and false negatives, and how to balance them in credit scoring use cases
Apply cross-validation techniques, divergence analysis, and risk-based grouping
Use Scikit-learn Pipelines to streamline preprocessing and ensure reproducible, production-ready workflows
Translate technical results into business insights, empowering data-driven decision-making in credit risk and beyond

Requirements
Basic knowledge of data analysis concepts
Basic knowledge of Python (helpful but not required)
No prior experience with credit scoring or machine learning needed