R package: funModeling: data cleaning, importance variable analysis and model perfomance
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README.md

funModeling R Package

saythanks

funModeling

Installing the package

install.packages("funModeling")

Description:

Around 10% of almost any predictive modeling project is spent in predictive modeling, 'funModeling' and the book Data Science Live Book are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions.

Data Science Live Book (open source)

Data Science Live Book

An overview...

It's a book to learn data science, machine learning, data analysis with tons of examples and explanations around several topics like:

  • Exploratory data analysis
  • Data preparation
  • Selecting best variables
  • Model performance

tl;dr: I invite you to read the book online and/or download here. Thanks and have a nice day :)