This repo contains code for loan eligibility predictor

machine learning project using logistic regresion and random forest with hyper tuned

Python script for utilizing the Dash framework along with Plotly to visualize and analyze data from the Luxury Loan Portfolio. The script imports data from a CSV file containing loan portfolio information and generates three interactive charts.

This application tells whether your loan get approved or not

An End-to-End production ready application for predict whether the loan will approve or not. assesses the likelihood of approving a loan. 📊💰 It involves collecting and processing data on applicants, training a model to predict loan approval, and creating a system for real-time predictions. 🤖

This program is mainly used to figure out loan schedules for clients and can be used both by clients and loan providers to both show and save a document that has the loan schedule on it.

What's up This project was mainly training my self on training ML models 🤖 and also to train on doing EDA 📜 to get the acceptance of the loan.

This repository describes my assignment in Data Science related to Exploratory Data Analysis in detecting the type of customers who are more likely to accept a loan with minimum defaulting rate.

Loan Approval Prediction Model using the dataset from Kaggle

Explaratory data analysis on the loan dataset. ML model to automate the loan eligibility process (real-time) based on customer detail provided while filling out online application forms.

This project uses machine learning algorithms to predict the classification of loan status. The dataset is loaded and some transformation is done using SQL for getting a proper dataset with some valid informations.

This project uses machine learning algorithms to predict the classification of loan status. The dataset is loaded and some transformation is done using SQL for getting a proper dataset with some valid informations.

This repo analyzes the profitability of approving a bank loan for two projects by using Monte Carlo Simulation. Based on a Harvard Business Review case study, it considers cash flow uncertainty and investment returns. The analysis simulates various scenarios, offering insights for informed decision-making on the loan's potential profitability.

In AI Course in 4th semester (between March 2022 and April 2022). It was a teamwork.

Machine Learning - End to End Data Science Projects

This app utilizes deep learning to predict the loan status of an applicant, whether it's "Fully Paid" or "Charged Off".

Loan Prediction using Machine Learning

Predict if your loan will be accepted or not. This happens by using a labeled data for applicants who applied for a loan before, analyzing these data and using some classification models on it.