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  1. Face-Detection-Model Face-Detection-Model Public

    This project involves developing a robust face detection model utilizing advanced machine learning techniques and tools. The process begins with setting up the environment and installing necessary …

    Jupyter Notebook

  2. Emotion-Detection-HappySad-Classification Emotion-Detection-HappySad-Classification Public

    This project focuses on developing a machine learning model to classify images based on emotional content, specifically identifying happy and sad expressions. The model will enhance applications in…

    Jupyter Notebook

  3. Handwritten-Digit-Recognition Handwritten-Digit-Recognition Public

    This project implements a machine learning model to recognize handwritten digits from images. Utilizing popular libraries like TensorFlow and Keras, the project demonstrates image preprocessing, mo…

    Jupyter Notebook

  4. Binary-Handwritten-Digit-Recognition Binary-Handwritten-Digit-Recognition Public

    This project implements a neural network model using TensorFlow and Keras to recognize handwritten digits as either 0 or 1. The model is trained, evaluated, and tested using the MNIST dataset, demo…

    Jupyter Notebook

  5. Anomaly-Detection-in-Server-Performance-Metrics Anomaly-Detection-in-Server-Performance-Metrics Public

    This project implements an anomaly detection algorithm to identify unusual behavior in server computers using throughput and latency metrics. It aims to enhance server reliability and performance m…

    Jupyter Notebook

  6. Cat_Recognition_with_LogisticRegression Cat_Recognition_with_LogisticRegression Public

    This project implements a logistic regression model to recognize cats in images. It involves loading and preprocessing data, initializing parameters, computing the weighted sum plus bias, applying …

    Jupyter Notebook