README.md

In abdala9512/dareML: Data repository for Machine learning

dareML

Data Repository for practice with classic Machine Learning algorithms and deep learning models. This repository centralizes, cleans and makes available data sets of different types of tasks (regression, classification, clustering, time series, recommendation systems, etc.) for statistical analysis and the practice of machine learning.

Useful to easily obtain simple and real datasets for machine learning projects,practice or study suitable for differente types of algorithms.

Library Installation

devtools::install_github("abdala9512/dareML")
library(dareML)

Current Data Sources

# show data repositories currently working on dareML
dataSources()

• DataHub.io
• WorldBank
• Kaggle
• UCI machine learning repository
• Quandl

load/download data Examples

Explore Catalog (Each source has its own catalog)

<sourceName>Catalog()

#example
quandlCatalog()

loading data in Current R environemnt

load<DataSetNameinCatalog>(mode ="load")

# example - "load" is the default mode
loadVIX()

Download data in Current working directory

load<DataSetNameinCatalog>(mode ="download", format = c("csv", "xlsx", "rds"))

# example
loadVIX(mode ="download", format = "csv")

Contact

You can contribute or send me an email to [e-mail] :)

abdala9512/dareML documentation built on July 9, 2021, 7:14 p.m.