Loan Prediction Practice Problem (Using Python)
BeginnerLevel
30 MinsDuration

About this Course
- This course is designed for people who want to solve binary classification problems.
- In this course, we are solving a real life case study of Dream Housing Finance. The company wants to automate the loan eligibility process (real-time) based on customer detail.
- By the end of the course, you will have a solid understanding of Classification problem and Various approaches to solve the problem.
Learning Outcomes
Binary Classification
Master binary classification problems using Python.
Real-Life Problem
Apply data science skills to a practical loan prediction case.
Python Implementation
Build and evaluate classification models in Python.
Who Should Enroll
- AI & Data Professionals – Understand advanced AI tools for analytics and data-driven decision-making.
- Individuals wanting to learn binary classification and learn a best approach to solve them.
- Tech Enthusiasts & Innovators – Learn and apply advanced AI tools to real-world challenges and industry use cases.
Course Curriculum
Explore a comprehensive curriculum covering Python and it's libraries, Learn to solve binary classification problems with Python..

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
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
- Globally recognized certificate
- Verifiable online credential
- Enhances professional credibility

Frequently Asked Questions
Looking for answers to other questions?
This course is meant for people looking to explore Classification Problems in Python.
You should have Python and Jupyter Notebook installed on your system.
The course is free of charge.
We would highly recommend taking the course in the order in which it has been designed to gain the maximum knowledge from it.
This is an introductory course and this does not include any placement support. Once you have worked on a few data science projects and hackathons, you can always apply to jobs on Analytics Vidhya portal.
Yes, you will receive a certificate of completion after successfully finishing the course and assessments.
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