Loan Prediction Practice Problem (Using Python)

BeginnerLevel
35388+Students Enrolled
30 MinsDuration
4.8Average Rating

About this Course

Learn loan prediction using machine learning with real bank loan datasets to build predictive models.
Understand how a loan prediction system works by analyzing applicant details and risk features.
Train a complete loan approval prediction model using Python step by step.
Use a loan prediction problem dataset to understand real industry challenges.
Learn loan default prediction using Python to classify high-risk and low-risk applicants.

Learning Outcomes

Machine Learning Basics

Learn loan prediction with ML using feature selection

Work with Real Datasets

Use a loan prediction problem dataset to practice real data analysis

Build Loan Models

Build loan approval prediction models & evaluate accuracy using Python

Who Should Enroll

Beginners who want to learn loan prediction using machine learning in an applied way.
Data science learners seeking to work with a real dataset for loan prediction applications.
Students or professionals who want to build a loan approval prediction model using Python.
Learners interested in solving industry level loan prediction system projects.

Course Curriculum

This course teaches loan prediction using Python. Explore real loan data, understand key variables like income and credit history, build ML models, evaluate accuracy, and create a complete prediction system.

1. Introduction to the Course
2. Table of Contents
3. Problem Statement
4. Hypothesis Generation
5. Exercise 2 | Discussion
6. Getting Ready & Loading Data
7. Understanding the Data
8. Univariate Analysis
9. Bivariate Analysis
10. Missing Value & Outlier Treatment
11. Evaluation Metrics
12. Model Building: Part I
13. Model Building: Part II

Meet the instructor

Our instructor and mentors carry years of experience in data industry

Kunal Jain

Founder & CEO, Analytics Vidhya

Kunal has 15+ years of experience in the field of Data Science and is the founder and CEO of Analytics Vidhya- the world's 2nd largest Data Science community.

Get this Course Now

With this course you’ll get

30 Mins
Duration
Kunal Jain
Instructor
Beginner
Level

Certificate of completion

Earn a professional certificate upon course completion

Industry-Recognized Credential
Career Advancement Credential
Shareable Achievement

Frequently Asked Questions

Looking for answers to other questions?

Loan prediction using machine learning involves training a model to determine whether a loan should be approved based on applicant features like income, credit score, loan amount, and employment history. It helps banks and financial institutions make data-driven decisions and reduce risk.

Yes. The course includes a real loan prediction problem dataset where you will analyze applicant information, build a classification model, and evaluate prediction accuracy using Python.

No. The course is designed for beginners. It explains every step clearly, including dataset exploration, model building, training, and evaluation without requiring advanced coding knowledge.

You will work with Python and machine learning libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib to build and interpret your loan prediction system.

You will build both loan approval prediction models and loan default prediction models using Python to classify whether an applicant is eligible for a loan or likely to default.

Loan prediction models help financial institutions assess credit risk, optimize loan approvals, and reduce losses by identifying high-risk applicants before approval.

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