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- intro_redes_neuronales_acuriale
intro_redes_neuronales_acuriale PublicMaterial del Taller Introducción a Redes Neuronales
- python-community-map
python-community-map PublicForked from NiklasMM/python-community-map
A map full of lovely Python communities ❤️🐍🌎
HTML 1
- pycon-pandas-tutorial
pycon-pandas-tutorial PublicForked from brandon-rhodes/pycon-pandas-tutorial
PyCon 2015 Pandas tutorial materials
Jupyter Notebook 1
- python-novice-gapminder
python-novice-gapminder PublicForked from swcarpentry/python-novice-gapminder
Introduction to Python for non-programmers using gapminder data
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- All-CSV-ML-Data-Files-Download Public Forked from laxmimerit/All-CSV-ML-Data-Files-Download
Find all major CSV Files for data processing
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PythonNorte/pythonnorte’s past year of commit activity - sklearn-sprint-argentina-2022 Public Forked from jmloyola/sklearn-sprint-argentina-2022
Repositorio con información del Sprint de Scikit-learn realizado en Argentina en el 2022
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PythonNorte/sklearn-sprint-argentina-2022’s past year of commit activity - data-umbrella-scikit-learn-sprint Public Forked from data-umbrella/data-umbrella-scikit-learn-sprint
scikit-learn sprint docs
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PythonNorte/data-umbrella-scikit-learn-sprint’s past year of commit activity - pydata-book Public Forked from wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
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PythonNorte/scikit-learn-mooc’s past year of commit activity - MilProgramadores-AlgebraSimbolica Public Forked from ochoadavid/MilProgramadores-AlgebraSimbolica
Notebook de la presentación https://www.youtube.com/watch?v=4Nk4Jd0cun4
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PythonNorte/MilProgramadores-AlgebraSimbolica’s past year of commit activity - ml_course Public Forked from AmirMardan/ml_course
This repository belongs to the course of machine learning with Python which is getting ready for AUT
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PythonNorte/ml_course’s past year of commit activity - deep-learning-with-python-notebooks Public Forked from fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
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