Loan Prediction System

Python Machine Learning

Python, Machine Learning, SVM, KNN, Random forest, and Naive Bayes


The Loan Prediction System is designed to predict loan approval outcomes based on various factors. Utilizing machine learning algorithms such as SVM, KNN, and RandomForestClassifier, this project aims to provide accurate predictions to assist in decision-making processes. The system is developed in Python, leveraging libraries like scikit-learn, matplotlib, seaborn, and more for data processing and visualization.


Getting Started

To run this project, ensure you have Python installed on your machine along with the necessary libraries. Here's a quick guide:



Install the required Python libraries using pip:

pip install numpy pandas scikit-learn matplotlib seaborn

Running the Notebook

Libraries Used

import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns from sklearn import svm

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