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- Face-Detection-Model
Face-Detection-Model PublicThis 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 …
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- Emotion-Detection-HappySad-Classification
Emotion-Detection-HappySad-Classification PublicThis 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…
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- Handwritten-Digit-Recognition
Handwritten-Digit-Recognition PublicThis 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…
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- Binary-Handwritten-Digit-Recognition
Binary-Handwritten-Digit-Recognition PublicThis 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…
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- Anomaly-Detection-in-Server-Performance-Metrics
Anomaly-Detection-in-Server-Performance-Metrics PublicThis 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…
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- Cat_Recognition_with_LogisticRegression
Cat_Recognition_with_LogisticRegression PublicThis 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
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