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Predicting Credit Card Defaults This repository provides a step-by-step tutorial on predicting credit card defaults using machine learning algorithms in Python with scikit-learn. Learn to implement SVM, Random Forest, Decision Trees, k-Nearest Neighbors, and Artificial Neural Networks to forecast default payments for credit card clients.

  • Updated May 25, 2024
  • Jupyter Notebook

This project implements a real-time face emotion recognition system using Gray-Level Co-Occurrence Matrix (GLCM) for feature extraction and an Artificial Neural Network (ANN) for classification. The system can identify various emotional states from facial expressions in real-time.

  • Updated May 20, 2024
  • Jupyter Notebook

Welcome to the Deep Learning Odyssey! 🚀 This repository contains code of deep neural networks. Here, you'll find code, projects, and resources related to CNN, RNN , LSTM, GRU, GAN, VAE, DNN, RL, MLP etc.

  • Updated May 11, 2024
  • Jupyter Notebook

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