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1. Multiple-Sclerosis-Detection-using-ML-algorithms Multiple-Sclerosis-Detection-using-ML-algorithms Public

   Comparing multiple machine learning algorithms, including CNN, VGG, U-Net, SVM, Random Forest, and Gradient Boosting, to classify Multiple Sclerosis (MS) using a dataset with clinical and imaging d…

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2. Image-Combination-Using-GAN Image-Combination-Using-GAN Public

   This project implements a Generative Adversarial Network (GAN) to combine two images into a new, generated image based on user-uploaded content. The application provides a simple web interface usin…

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3. action-delete-artifacts action-delete-artifacts Public

   Forked from philips-labs/action-delete-artifacts

   An action that deletes an artifact associated with given workflow.

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4. Stock-market-price-forecasting Stock-market-price-forecasting Public

   It analyzes and forecasts stock prices using historical data from Yahoo Finance. It includes visualizing stock price trends, decomposing the time series, performing stationarity(ADF) testing, and g…

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5. Comparative-Analysis-of-ML-models-for-detection-of-Parkinson-s-Disease-from-audios. Comparative-Analysis-of-ML-models-for-detection-of-Parkinson-s-Disease-from-audios. Public

   Forked from sharonzach/Comparative-Analysis-of-ML-models-for-detection-of-Parkinson-s-Disease-from-audios.

   Comparative analysis of various machine learning algorithms for detecting Parkinson's Disease (PD) from an audio dataset. The project explores the use of K-Nearest Neighbors (KNN), Logistic Regress…

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6. Detecting-Parkinson-s-Disease-from-Audio-Dataset-using-SVM-algorithm- Detecting-Parkinson-s-Disease-from-Audio-Dataset-using-SVM-algorithm- Public

   A machine learning application to classify Parkinson's disease status using an SVM model. The dataset includes features related to speech and clinical metrics. The goal is to predict whether a pers…

   Python