Pinned Repositories
30DayChartChallenge2021
📊 My contributions to the #30DayChartChallenge 2021
anticlust
Subset partitioning via anticlustering
arc
Association Rule Classification
asd
autokeras
Package: R Interface to AutoKeras
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
fracture
Convert decimals to fractions in R
statunizaga's Repositories
statunizaga/book-exercises
statunizaga/caseconverter
RStudio Addin to convert selected text to lower, upper, snake, and camel cases.
statunizaga/Data-Science-Cheatsheet
statunizaga/datacamp-python-data-science-track
All the slides, accompanying code and exercises all stored in this repo. 🎈
statunizaga/datascience-box
Data Science Course in a Box
statunizaga/DataScienceR
a curated list of R tutorials for Data Science, NLP and Machine Learning
statunizaga/Estadistica-con-R
Apuntes personales sobre estadística, machine learning y lenguaje de programación R
statunizaga/factoextra
Extract and Visualize the Results of Multivariate Data Analyses
statunizaga/FES
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
statunizaga/ggparliament
Simple parliament plots using ggplot2
statunizaga/infer
An R package for tidyverse-friendly statistical inference
statunizaga/interpret
Fit interpretable models. Explain blackbox machine learning.
statunizaga/presentations
A central repository of Business Science presentations
statunizaga/RemixAutoML
Learn how to use the library in general or across multiple case-study data science courses!
statunizaga/rmd
statunizaga/rstudio-conf
Materials for rstudio::conf
statunizaga/RStudioConf2019Slides
Links to slides for rstudio::conf 2019
statunizaga/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
statunizaga/textmineR
An aid for text mining in R, with a syntax that should be familiar to experienced R users. Provides a wrapper for several topic models that take similarly-formatted input and give similarly-formatted output. Has additional functionality for analyzing and diagnostics for topic models.