The aim of the project is to experiment, design and implement a loan prediction system using the given dataset to automate the loan eligibility process based on customer details provided such as:
- Gender
- Marital Status
- Number of dependents
- Education level
- Self employment status
- Credit history
- Property area
- Income level
The following machine learning algorithms are used for the given problem statement:
Logisitic Regression is a kind of supervised learning algorithm used for predicting the categorical dependent variable using a given set of independent variables. The accuracy achieved is 80.58%.
XGBoost is a decision-tree-based ensemble Machine Learning algorithm that uses a gradient boosting framework. The accuracy achieved is 80.58%.