Projects with this topic
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Recommend.Games blog: https://blog.recommend.games/
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Bahn-Vorhersage - The best Train Delay Prediction System.
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Outflow is a framework that helps you create and execute sequential, parallel as well as distributed task workflows.
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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.
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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 RUpdated -
Source code for a kinetic theory inspired learning model for data-science applications. Manuscript: https://doi.org/10.48550/arXiv.2503.04857
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A LARA python-django app for managing projects and experiments in lab automation systems and scientific laboratories.
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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
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This repository holds all the code related to IOT Advanced Lab Book Tutorials. https://iotgarage.net/projects/IoTEducation.html
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Data Science / Machine Learning Pipeline component for training and deploying ML models using CI
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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.
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Unified interface to connect common data sources in Data Science with common dataframe packages
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Faire des analyses descriptives sur sur une base de donnée conséquente en résumer les grandes lignes
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Code and thesis generation for my PhD Thesis titled "A Genomic Medicine Approach to Identifying Novel Drugs"
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In this project, you will be provided with a real-world dataset, and you are required to implement the whole pipeline of building the data science pipeline on-premises and on-the-cloud. This includes understanding the business problem, preparing data, exploring the data, performing feature engineering, and building and deploying models
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