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/kabur...
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Courses:
https://www.onurbaltaci.com/courses
Contact for sponsorships:
https://www.onurbaltaci.com/contact
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Chapters:
00:00:00 Intro
00:00:35 Dataset Card
00:02:37 Data Science Project
01:05:21 Outro