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1. ParkinsonsDetection ParkinsonsDetection Public

   Binary classification problem that uses the XGBClassifier(), HistGradientBoostingClassifier(), GradientBoostingClassifier(), LGBMClassifier(), and CatBoostClassifier() to predict if a patient has P…

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2. BrainTumorClassification BrainTumorClassification Public

   Image multi-classification problem that uses the VGG16, ResNet50, InceptionV3, Xception, and MobileNetV2 models to classify different types of brain tumors.

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3. SignLanguageClassification SignLanguageClassification Public

   Multi-class image classification problem that uses the MobileNetV2() model to predict sign language letters.

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4. ExoplanetHunting ExoplanetHunting Public

   Binary classification problem that uses a CNN with a variable number of conv layers on the Kaggle ExoPlanet Hunting dataset.

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5. GazeTracking GazeTracking Public

   Image regression problem that uses multiple types of neural networks on the Gaze Tracking dataset.

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6. QuantumEmbeddings QuantumEmbeddings Public

   Class generation to create different types of data embeddings returned as circuit objects that can easily be used in Qiskit, inspired by Pennylane.

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