Data Science
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. Data scientists perform data analysis and preparation, and their findings inform high-level decisions in many organizations.
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A curated list of awesome R packages, frameworks and software.
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Jun 2, 2024 - R
a curated list of R tutorials for Data Science, NLP and Machine Learning
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Machine Learning in R
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R Weekly
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A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
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Apuntes personales sobre estadística, machine learning y lenguaje de programación R
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The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
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Aug 8, 2024 - R
Exercise solutions to "R for Data Science"
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A repository of R usage tips for data cleaning, data mining, data visualisation, statistical inference and machine learning
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English and European soccer results 1871-2022
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Building the Coffee Quality Institute Database
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Jun 16, 2018 - R
simple tools for data cleaning in R
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Jun 27, 2024 - R
An R-focused pipeline toolkit for reproducibility and high-performance computing
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Jul 18, 2024 - R
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
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Jan 2, 2018 - R
Coursera Getting and Cleaning Data Course Week 4 Project
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Sep 2, 2017 - R
R package of data and code behind the stories and interactives at FiveThirtyEight
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Gender recognition by voice and speech analysis
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Jan 16, 2023 - R
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