Loan-Approval-prediction

Loan Approval dataset is a popular Kaggle dataset for whether loan would be approved or not based on the loan details such as the loan amount, loan term etc. as well as the loan borrower's detail such as annual income, number of dependents etc. This Model works on the above mentioned dataset and predicts whether or not the loan would be approved.

Libraries used

This project is entirely done on jupyter notebook in python. I have used the following python libraries :

1. pandas to read and visualize the data
2. sklearn.preprocessing.StandardScaler for feature scaling
3. sklearn.svm for model selection

How to implement the project ?!

Steps to implement the project

1. Open google colab or jupyter notebook.
2. Either download the source code or copy the codes to a new .py file or new .ipynb file
3. run the codes

Accuracy of the model

It uses Suport vector machine classifier to classify loan_status column based on the dependent columns.The model is 94% accurate.