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K-Means Image Compression is a Python-based project that compresses an image by reducing the number of colors used. This technique is implemented using the K-Means clustering algorithm, making it ideal for those looking to understand and apply machine learning concepts in image processing.
"This repository contains implementations of Boosting method, aimed at improving predictive performance by combining multiple models. by using titanic database."
"This repository contains implementations of Boosting method, popular techniques in Model Ensembles, aimed at improving predictive performance by combining multiple models. by using titanic database."
Sign Language Detection using CNN and Flask. This project uses Convolutional Neural Networks (CNN) to detect and classify sign language gestures. It includes a Flask web application for real-time detection. Simply use your webcam to translates gestures into text.
Logistic regression is a binary classification technique used to predict outcomes like customer churn or purchase intent. It models the probability of an event happening (e.g., a customer making a purchase) based on input features.