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Sottix99/README.md

About Me:

🎓 Master degree in Data Science at Sapienza Università di Roma

🎓Bachelor degree in Statistics

🔭 Astronomy enthusiast

🌐 Socials:

LinkedIn

💻 Tech Stack:

R Keras NumPy Pandas Plotly PyTorch scikit-learn TensorFlow Neo4J Postgres MySQL Anaconda Python LaTeX

📊 GitHub Stats:

✍️ Random Dev Quote


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  1. Point-cloud-transformers-for-3D-fragment-matching Point-cloud-transformers-for-3D-fragment-matching Public

    This repository refers to my master's thesis in the Data Science at Sapienza University. The objective is to build a model in order to perform the task of 3D fragment matching. Given two 3D scans o…

    Python 1

  2. Deep-Learning-for-Orthodontic-Photos Deep-Learning-for-Orthodontic-Photos Public

    The objective of this study is to explore Machine and Deep Learning techniques for the classification of orthodontic images according to the correct dental alignment treatment.

    Jupyter Notebook

  3. Football-Transfers-Network-Analisys Football-Transfers-Network-Analisys Public

    The project examined the European football market network of the top 7 leagues over the years. The process involved data extraction from Transfer Markt by web scraping, followed by graph analysis a…

    Jupyter Notebook

  4. Image-Captioning-with-contextual-embedding Image-Captioning-with-contextual-embedding Public

    An image description model was introduced in the project with an architecture encoder/decoder. A ViT pretrained on ImageNet21k was used for the encoder and a RoBERTa model pretrained on English tex…

    Jupyter Notebook

  5. Human-Trajectory-Forecasting Human-Trajectory-Forecasting Public

    The first part of the task involves implementing the fundamental building blocks of a transformer architecture. In the other section, however, we applied that architecture to predict human trajecto…

    Jupyter Notebook 1

  6. Loan-Eligibility-Bayesian-Prediction Loan-Eligibility-Bayesian-Prediction Public

    The study focuses on automating the assessment of access to bank credit using Bayesian and Frequentist Logistic Regression models, leveraging data from the "Loan Eligible" dataset on Kaggle. Metric…

    R