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cgurkanc / titanic-proje
Apache License 2.0Titanic veri seti üzerinde yapmış olduğumuz basit bir veri analizidir.
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A comprehensive Python-based software project focused on calculating the price of milk bottles based on the input parameters related to the materials and production process. The system considers various factors, including "Bottle Weight," "Masterbatch Content," "Masterbatch Price," "Masterbatch's Titanium Dioxide Content," "rPET-O Content," "rPET-O Price," "Virgin PET Price," "rPET-O's Titanium Dioxide Residual," "Electricity Price," and "ISBM Machine Production Capacity."
This Python-based software project demonstrates an innovative approach to calculating milk bottle prices, offering a customizable solution for the dairy industry that enhances transparency, efficiency, and decision-making in the production process.
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Kae / Ceres
Creative Commons Attribution Share Alike 3.0 UnportedStudying the effects of music in the growth of plants through an IoT automated farming solution.
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Joonas T. Holmi / wit_io
BSD 3-Clause "New" or "Revised" LicenseWITio: A MATLAB data evaluation toolbox to script broader insights into big data from WITec microscopes
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rostools / r-cubed-intro
Creative Commons Attribution 2.0 GenericReproducible Research in R workshop.
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OSINT - Data Visualization - Blockchain - Awareness - Scam
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Tracks and heatmaps using the GPS tracks.
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Data analysis:
🍔 Foods &🌍 Ecological ImpactUpdated -
Analysis of a spotify user's musical tastes using Spotify's API
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This repository contains the Tableau project "Analyzing Customer Churn," which is a comprehensive analysis of customer churn in Databel. The project is divided into three parts, each focusing on different aspects of customer churn analysis and visualization.
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Lecture material for the Bootcamp of Modeling for Master Neuronal and Cognitive Systems, Université Côte d'Azur, 2022.
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Collectors Channel / collectors-channel-dashboards
GNU General Public License v3.0 onlyUpdated -
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Study of the connections between DNA expression of Covid patients and the development of Acute Encephalopathy. Project carried out by the Neurology Department of UC San Francisco in collaboration with the Data Science department of UC Berkeley (2022).
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Prediction of Nobel Prize outcomes based on country data. Project done for an Applications in Data Analysis course (INDENG-242) for UC Berkeley (2022).
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Brain Data Group / NIRSync
MIT LicenseThe ultimate free and open source solution for visualising fNIRS brain data and a video recording side by side
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