Master Credit Risk Modeling with Python & Machine Learning – Complete Step-by-Step Guide 📊

In this project, we’ll build a Credit Risk Modeling system using Python and Machine Learning from scratch. You’ll learn how to process real-world financial data, apply Scikit-learn for model training, and deploy an interactive dashboard with Streamlit. Whether you’re a beginner in data science or preparing for interviews, this step-by-step tutorial will help you understand how to evaluate credit risk, handle imbalanced datasets, and create a complete end-to-end data science project in Python.

Dataset: https://www.kaggle.com/datasets/kabure/german-credit-data-with-risk

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00:00:00 Intro
00:00:35 Dataset Card
00:02:37 Data Science Project
01:05:21 Outro