ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
This project aims to predict loan defaults using deep learning techniques. The system utilizes Multi-Layer Perceptron (MLP), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN) to analyze historical loan data and predict the likelihood of default.
Objectives
Data Processing: Prepare and preprocess loan data for training.
Model Development: Build and train deep learning models (MLP, CNN, RNN) for predicting loan defaults.
Evaluation: Assess model performance and accuracy.
Prediction: Provide predictions on loan defaults based on the trained model
Overview
This project aims to predict loan defaults using deep learning techniques. The system utilizes Multi-Layer Perceptron (MLP), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN) to analyze historical loan data and predict the likelihood of default.
Objectives