Mohammad Abubakr Khanooni's repositories
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Animal-recognition-using-convolutional-neural-networks
Explored deep learning to craft an animal recognition system using Convolutional Neural Networks. Achieved 91% accuracy in distinguishing cats and dogs by training on a dataset of 4000 images per animal. Demonstrates the efficacy of CNNs for real-world image classification tasks.
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Customer-prediction-using-Artificial-neural-networks
This project focuses on implementing a binary classification model using artificial neural networks (ANNs) for predicting a specific outcome based on input features. The goal is to demonstrate the process of building, training, and evaluating an ANN model using a dataset
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process-scheduler-c
Representation of job scheduling process performed by an operating system
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face_recognition
The world's simplest facial recognition api for Python and the command line
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