Data science loan default prediction. See full list on analyticsvidhya.

Data science loan default prediction By completing this project: 1) you will experience the entire data science cycle yourself, 2) you will In this project, I tackled the challenge of predicting loan defaults using machine learning techniques. The data set has been kindly provided by a European bank and has been slightly modified and anonymized. There is no non-disclosure agreement required and the project does not contain any Mar 5, 2023 · Loan default prediction is a common problem in the financial industry, as it can help lenders or banks identify borrowers who are likely to default on their loans. Checked for missing values and cleaned the data. This project is part of my freelance Data Science work for a client. Step 9:Make Predictions for a New Applicant 🔮 Jan 8, 2025 · The Process 1. Machine Learning. The goal of this "loan defaulter prediction" is to detect the probability of defaulter rate using Machine learning techniques. DataFrame'> RangeIndex: 5960 entries, 0 to 5959 Data columns (total 13 columns): # Column Non-Null Count Dtype --- ----- ----- ----- 0 BAD 5960 non-null int64 1 LOAN 5960 non-null int64 2 MORTDUE 5442 non-null float64 3 VALUE 5848 non-null float64 4 REASON 5708 non-null object 5 JOB 5681 non-null object 6 YOJ 5445 non-null float64 7 DEROG 5252 non-null float64 8 Apr 2, 2025 · Your All-in-One Learning Portal: GeeksforGeeks is a comprehensive educational platform that empowers learners across domains-spanning computer science and programming, school education, upskilling, commerce, software tools, competitive exams, and more. For example, Emekter et al. pjjpu hgr arn oslv bmezwmc chbxot ytuo bimotcd mhrjb eeue