Epython Lab

🚀 New Tutorial: Build a Credit Scoring Model in Python

🎯 Real-World FinTech Machine Learning Project – Episode 2: Watch the full tutorial here https://youtu.be/pWOoYpJsaDc


I have published a practical tutorial that demonstrates how to build a credit scoring model using Python, pandas, and scikit-learn. This project simulates a real-life use case from the fintech industry, focusing on predicting loan defaults based on applicant data.

📌 What you will learn:

Data cleaning and preprocessing for financial datasets

Logistic Regression for binary classification

Feature scaling and performance metrics (Precision, Recall, F1 Score)

Visualizing feature importance for interpretability

📊 Why this matters:

Credit scoring is a core component in lending, digital banking, and microfinance. Understanding how to implement this model can open doors in risk analytics, credit platforms, and fintech applications.



🔗 GitHub code and dataset are also available in the video description.


If you are building a career in data science, machine learning, or fintech, this project will give you strong, applicable experience.

YouTube

Build a Credit Scoring Model with Python | FinTech ML Project for Beginners

📘 Build a Credit Scoring Model with Python – A FinTech ML Labs Tutorial
This comprehensive, hands-on tutorial guides you through building a credit scoring model using Python, Pandas, and scikit-learn. You'll learn how to prepare and preprocess real-world…

❤5

www.tgoop.com/epythonlab/1980

1.4K viewsMay 18 at 13:17

🚀 New Tutorial: Build a Credit Scoring Model in Python

🎯 Real-World FinTech Machine Learning Project – Episode 2: Watch the full tutorial here https://youtu.be/pWOoYpJsaDc


I have published a practical tutorial that demonstrates how to build a credit scoring model using Python, pandas, and scikit-learn. This project simulates a real-life use case from the fintech industry, focusing on predicting loan defaults based on applicant data.

📌 What you will learn:

Data cleaning and preprocessing for financial datasets

Logistic Regression for binary classification

Feature scaling and performance metrics (Precision, Recall, F1 Score)

Visualizing feature importance for interpretability

📊 Why this matters:

Credit scoring is a core component in lending, digital banking, and microfinance. Understanding how to implement this model can open doors in risk analytics, credit platforms, and fintech applications.



🔗 GitHub code and dataset are also available in the video description.


If you are building a career in data science, machine learning, or fintech, this project will give you strong, applicable experience.

BY Epython Lab