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classification-on-sentinel-2-satellite-image-using-rasterio-machine-learning-and-neural-networks

creditworthiness

A bank wants to predict the creditworthiness of its customers. Based on the customer records, the credit history, etc., a customer should be classified as creditworthy or unworthy of credit. It is five times more ‘expensive’ for the bank to rate a customer who is unworthy of credit as creditworthy than vice versa. In addition, not all information is available for all customers. For 1,000 representatively selected customers, the creditworthiness is known.

darknet

Convolutional Neural Networks

facial-mask-detection

Facial mask detection using TensorFlow and OpenCV. The repo is still in development, please change the branch from master to development to view the complete code and instructions.

handwritten-alphabet-classification-using-convolutional-neural-networks

This project is aimed to classify handwritten alphabets using a deep learning convolutional neural network.

image-segmentation-with-unet-and-mini-unet-using-convolutional-neural-networks

The Project focuses on the task of Image Segmentation using UNET and Mini-UNET using CNN.

react-calculator-app

remote-sensing-from-satellite-using-convolutional-neural-network

The project focuses on Remote Sensing using Satellite images with CNNs and EuroSat dataset