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  • Sapienza Università di Roma
  • Rome
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  1. Heart-Rate-Zones-Prediction Heart-Rate-Zones-Prediction Public

    The aim of this work was to predict the heart rate zones. To do this we applied several data transformation techniques which we then used to pull an Xgboost model.

    Jupyter Notebook 1

  2. MySQL-MongoDB-HR-Database MySQL-MongoDB-HR-Database Public

    Create an HR database, perform realistic query and evaluating the performance of those on different DBMS like MySQL and MongoDB

    JavaScript 1

  3. Bayesian-Analysis-for-Game-Players-Behaviors Bayesian-Analysis-for-Game-Players-Behaviors Public

    A MCMC Bayesian analysis versus Frequentist Analysis of Animal Crossing: New Horizons game players in-game behavior using a Multinomial Logistic Regression Model to adjust the original paper results.

    R

  4. Ship-Classification-Leonardo-Labs-Kaggle-Competition Ship-Classification-Leonardo-Labs-Kaggle-Competition Public

    Neural Networks ensemble via majority voting in order to classify ships given non-satellite images. All the models have been trained using PyTorch with pretrained weights.

    Jupyter Notebook 3

  5. AstraStatsLearn-Galaxy-image-segmentation AstraStatsLearn-Galaxy-image-segmentation Public

    Image segmentation of satellite images of galaxies using machine learning and deep learning tecnique, in order to identifiy galaxies.

    Jupyter Notebook 2

  6. Experimenting-with-modularity-in-deep-learning Experimenting-with-modularity-in-deep-learning Public

    The project aim to experiment implementing a modular architecture: an early-exit model and testing it using Tensorflow.

    Jupyter Notebook 1