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Sapienza Università di Roma
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Heart-Rate-Zones-Prediction
Heart-Rate-Zones-Prediction PublicThe 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.
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MySQL-MongoDB-HR-Database
MySQL-MongoDB-HR-Database PublicCreate an HR database, perform realistic query and evaluating the performance of those on different DBMS like MySQL and MongoDB
JavaScript 1
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Bayesian-Analysis-for-Game-Players-Behaviors
Bayesian-Analysis-for-Game-Players-Behaviors PublicA 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
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Ship-Classification-Leonardo-Labs-Kaggle-Competition
Ship-Classification-Leonardo-Labs-Kaggle-Competition PublicNeural 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 4
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AstraStatsLearn-Galaxy-image-segmentation
AstraStatsLearn-Galaxy-image-segmentation PublicImage segmentation of satellite images of galaxies using machine learning and deep learning tecnique, in order to identifiy galaxies.
Jupyter Notebook 3
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Experimenting-with-modularity-in-deep-learning
Experimenting-with-modularity-in-deep-learning PublicThe project aim to experiment implementing a modular architecture: an early-exit model and testing it using Tensorflow.
Jupyter Notebook 1
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