[{"data":1,"prerenderedAt":109},["ShallowReactive",2],{"project-ml-loan":3},{"id":4,"title":5,"description":6,"extension":7,"favorite":8,"icon":9,"meta":10,"publishedAt":96,"readingTime":91,"shortDescription":97,"slug":98,"status":99,"stem":100,"tags":101,"type":107,"__hash__":108},"projects\u002Fprojects\u002Fml-loan.md","Machine Learning for Loan Prediction","Predicting loan approval and default risk using machine learning classification techniques.","md",false,"i-ph-money-wavy-duotone",{"body":11},{"type":12,"value":13,"toc":89},"minimark",[14,18,23,39,43,46,79,83],[15,16,17],"p",{},"This project focuses on building machine learning models to predict loan approval outcomes and assess default risk. The objective is to develop robust classification models that identify creditworthy applicants.",[19,20,22],"h2",{"id":21},"project-objectives","Project Objectives",[24,25,26,30,33,36],"ul",{},[27,28,29],"li",{},"Build and compare multiple classification models for loan prediction",[27,31,32],{},"Identify key factors influencing loan approval decisions",[27,34,35],{},"Evaluate model performance using appropriate metrics",[27,37,38],{},"Optimize model parameters for better predictive accuracy",[19,40,42],{"id":41},"methodology","Methodology",[15,44,45],{},"The study employs a range of machine learning approaches:",[24,47,48,55,61,67,73],{},[27,49,50,54],{},[51,52,53],"strong",{},"Exploratory Data Analysis (EDA)"," - Understanding applicant characteristics and patterns",[27,56,57,60],{},[51,58,59],{},"Feature Engineering"," - Creating meaningful features from raw data",[27,62,63,66],{},[51,64,65],{},"Model Comparison"," - Testing multiple algorithms (Logistic Regression, Random Forest, Gradient Boosting, etc.)",[27,68,69,72],{},[51,70,71],{},"Hyperparameter Tuning"," - Optimizing model performance",[27,74,75,78],{},[51,76,77],{},"Cross-validation"," - Ensuring robust generalization",[19,80,82],{"id":81},"detailed-report","Detailed Report",[84,85],"iframe",{"src":86,"width":87,"height":88},"\u002Fprojects\u002Floan-ml.pdf","100%","1000px",{"title":90,"searchDepth":91,"depth":91,"links":92},"",2,[93,94,95],{"id":21,"depth":91,"text":22},{"id":41,"depth":91,"text":42},{"id":81,"depth":91,"text":82},"2025-01-24","A project applying machine learning to predict loan approvals and assess default risk.","ml-loan","Completed","projects\u002Fml-loan",[102,103,104,105,106],"Python","Machine Learning","Regression","Finance","Data Science","Academic Project","gqn-BwXm7Omr2k4ERhMfGoNHslnxQ6SIebJsJMf4OlQ",1777982164311]