Thanos Gatos (thanosgatos)

thanosgatos

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Location:Ghent, Belgium

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Thanos Gatos's starred repositories

coding-interview-university

A complete computer science study plan to become a software engineer.

awesome-for-beginners

A list of awesome beginners-friendly projects.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

Language:PythonLicense:NOASSERTIONStargazers:65578Issues:3331Issues:89

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Language:Jupyter NotebookLicense:MITStargazers:26715Issues:1371Issues:245

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Language:C++License:Apache-2.0Stargazers:26142Issues:909Issues:5283

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

how-to-contribute-to-open-source

A guide to contributing to open source

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data-science-blogs

A curated list of data science blogs

DataSciencePython

common data analysis and machine learning tasks using python

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swirl_courses

:mortar_board: A collection of interactive courses for the swirl R package.

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data-science-at-the-command-line

Data Science at the Command Line

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ML_for_Hackers

Code accompanying the book "Machine Learning for Hackers"

probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

LearnDataScience

Open Content for self-directed learning in data science

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:2954Issues:369Issues:1

DataScienceR

a curated list of R tutorials for Data Science, NLP and Machine Learning

Mocha.jl

Deep Learning framework for Julia

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efficientR

Efficient R programming: a book

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DT

R Interface to the jQuery Plug-in DataTables

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xgboost

https://github.com/dmlc/xgboost

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forcats

🐈🐈🐈🐈: tools for working with categorical variables (factors)

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ScikitLearn.jl

Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

Language:JuliaLicense:NOASSERTIONStargazers:546Issues:23Issues:95

concept-to-clinic

ALCF Concept to Clinic Challenge

Language:PythonLicense:MITStargazers:367Issues:55Issues:163

installr

Functions for installing softwares from within R

meetingsR

A list of R conferences and user groups

StatsLearningByExample.jl

Learn Julia via Examples

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implyr

SQL backend to dplyr for Impala

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ML_for_Hackers

Code accompanying the book "Machine Learning for Hackers"

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capstone

Capstone Projects, Requests, and Accolades Galore

R-CodingStandard

Coding standard for R

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