Loan Approval Prediction


  • Machine Learning


Mentors :

  • Utkarsha Patil, Yash Saraogi & Krishna Sirra

Mentees :

  • 15


This project will use Machine learning algorithms on real-time data to predict loan approval. Students will get introduced to Data science and ML. The project involves learning useful python libraries(NumPy, Pandas, Matplotlib, Seaborn), Data Preprocessing, Exploratory Data Analysis, Variable Sector. It uses different ML models (logistic regression, linear regression, SVM, etc.)
Prerequisites: No Prerequisite. Only Enthusiasm for learning!

Tentative Timeline :

Week Work
Week 1-2 Basics of python and Getting familiar with python Libraries (NumPy ,Pandas, Matplotlib, Seaborn)
Week 3-4 Mathematics for Data Science and Data Preprocessing , EDA & variable selector
Week 5-6 Different models(logistic regression , linear regression, SVM etc)
Week 7 Model Selection and Recap
Week 8-9 Working on Real time data, building model for the loan prediction