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1. Decision-Fatigue-Predictor Decision-Fatigue-Predictor Public

   A machine learning project designed to predict decision fatigue levels using user data such as decision volume, task switching frequency, sleep patterns, and other behavioral indicators.

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2. Multiple-Diseases-Prediction Multiple-Diseases-Prediction Public

   This project implements a stacking classifier ensemble that combines Gradient Boosting, Logistic Regression, and Random Forest algorithms to predict diseases from blood test results

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3. Cancer-Bacteria-Detection-Using-CNN Cancer-Bacteria-Detection-Using-CNN Public

   This project implements a deep convolutional neural network (CNN) to classify histopathological images of lung cancer cells into three major types: Adenocarcinoma, Benign, and Squamous Cell Carcinoma.

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4. Weather-prediction-using-CNN Weather-prediction-using-CNN Public

   This project leverages a custom CNN model to automatically identify different weather conditions (such as sunny, cloudy, rainy, etc.) from image data.

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5. Global-Weather-and-Location-Prediction-Engine Global-Weather-and-Location-Prediction-Engine Public

   This project utilises a deep learning model to classify a country using 10 specific weather features.

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6. Detecting-fake-news-using-machine-learning Detecting-fake-news-using-machine-learning Public

   This project focuses on detecting fake news articles using advanced Natural Language Processing (NLP) techniques and classical machine learning models.

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