Loan Approval Prediction System
Sachin Yadav
Introduction
With the use of machine learning methods, notably the Random Forest Classification model, the Loan Approval Prediction System was created as a potent tool to assist you in making judgments regarding your loan applications. This approach is intended to offer you precise estimates of the likelihood that your loan application will be approved.
Tech Stack
Programming Language: Python
Machine Learning Libraries: scikit-learn: Used for building and training machine learning models, including the Random Forest Classification model. NumPy: Provides support for numerical operations and data manipulation. Pandas: Used for data manipulation and analysis, including data cleaning. Matplotlib and Seaborn: Libraries for data visualization and creating insightful plots and charts.
Development Environment(IDE): Jupyter Notebook: Jupyter Notebook for coding, debugging, and testing.
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Posted Dec 26, 2023
Loan Approval Prediction System: A machine learning tool using Random Forest Classification to predict loan approval, aiding borrowers and lenders in informed d
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