D

data science

This repository contains the scripts I developed during my Master’s thesis project, which focused on designing and implementing an automatic pointing model framework for the Euler Telescope at La Silla Observatory. The codebase includes routines for data extraction, pointing model construction using a custom Python-based emulation of the TPOINT model, residual analysis, model validation tools, and additional diagnostics such as field rotation and star elongation analysis. To the best of my knowledge, this is the first publicly available implementation of a TPOINT-like model in Python. I hope it can serve both as a practical toolkit and a learning resource for others working in astronomical instrumentation or telescope automation. For full details on the methodology and context, you can access the thesis manuscript here: https://1drv.ms/b/c/8c0552583c50cd59/Ec80tP1h7G9BoY9CqG4-bFwB3IvmEx3xr4MQdE3A3gaDzQ?e=p7YwIy and watch the recorded thesis defense presentation here: https://youtu.be/jAweU7BmVwM?si=8z-KtTzvGopoLIz4

Recommend.Games blog: https://blog.recommend.games/

Bahn-Vorhersage - The best Train Delay Prediction System.

Mirrored to https://gitlab.b-data.ch/git/gsi and https://github.com/b-data/gsi.

Practical Introduction to Data Science - A Data Science task using R on two datasets (Historic weather/climate and Self-reported happiness statistics UK)

Mirrored to https://gitlab.b-data.ch/r/rsi and https://github.com/b-data/rsi.

GreenThumBot is an AI-powered urban greening platform created by Queen’s University Belfast students for the 2024 Sustainability Hackathon (“Re-Naturing the City” challenge, Belfast Agenda 2024–2028).

Data Science / Machine Learning Pipeline component for training and deploying ML models using CI

A template for Python-based projects, featuring a pre-configured structure that promotes best practices in data science and software development.

Outflow is a framework that helps you create and execute sequential, parallel as well as distributed task workflows.

This project analyzes heart failure patient data to identify key predictors like serum creatinine, ejection fraction, and follow-up time. Using EDA, regression models, and clustering, it highlights critical trends to improve early detection and patient care.

Documentos referentes al curso de Introducción a la bioestadística y programación:

Hojas de cálculo Bioestadística Programas bioinformáticos Bases de datos biosanitarias Lenguajes de programación Lenguaje de programación R

Source code for a kinetic theory inspired learning model for data-science applications. Manuscript: https://doi.org/10.48550/arXiv.2503.04857

A LARA python-django app for managing projects and experiments in lab automation systems and scientific laboratories.

Este proyecto es material de la materia Laboratorio de Datos del Instituto de Cálculo de la Facultad de Ciencias Exactas y Naturales de la Universidad de Buenos Aries. Icon by Flaticons

Mirrored to https://gitlab.b-data.ch/docker/deployments/traefik and https://github.com/b-data/docker-deployment-traefik.

This repository holds all the code related to IOT Advanced Lab Book Tutorials. https://iotgarage.net/projects/IoTEducation.html

This project focuses on extracting and visualizing stock data using Python libraries such as yfinance for historical stock prices and web scraping techniques to gather company revenue data. It provides a comprehensive analysis by plotting both stock prices and revenues over time for companies like Tesla and GameStop.