Felipe86100201

Felipe86100201's Stars

• h2oai/h2o-tutorials

  Tutorials and training material for the H2O Machine Learning Platform

  Language:Jupyter Notebook1.5k1k

• Felipe86100201/OpenGeoHub_2021

  Material for the tutorial on "Mapping the Area of Applicability of spatial prediction models" at the OpenGeoHub Summer School 2021

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• Felipe86100201/h2o-3

  H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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• JoaquinAmatRodrigo/Estadistica-con-R

  Apuntes personales sobre estadística, machine learning y lenguaje de programación R

  Language:R353287

• Felipe86100201/r4ds

  Traducción del libro "R for Data Science"

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• rfordatascience/tidytuesday

  Official repo for the #tidytuesday project

  Language:HTML6.8k2.4k

• Felipe86100201/Estadistica-con-R

  Apuntes personales sobre estadística, machine learning y lenguaje de programación R

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