funModeling: New site, logo and version ?
funModeling is focused on exploratory data analysis, data preparation and the evaluation of models.
Check the latest functions and website here :)
Articles by Pablo Casas
funModeling: New site, logo and version ????
funModeling is focused on exploratory data analysis, data preparation and the evaluation of models.
Check the latest functions and website here :)
Tips before migrating to a newer R version
A summary of common problems that my colleagues and I had when migrating R / packages to newer version. [Read more...]
How Auth0’s Data Team uses R and Python
Auth0 Data Team shares their tooling, from R to Python, their favourite open-souce libraries for data science and data engineering ????
Automatic data types checking in predictive models
Given certain data, and we need to create models (xgboost, random forest, regression, etc). Each one of them has its constraints regarding data types.
Errors are not clear, here's a new function to speed up model creation.
Fast data exploration for predictive modeling
Before predictive model creation, we need to check/change numerical, categorical, NAs, one unique value and high cardinality variables. This new function will assist us in this task. [Read more...]
Fast data exploration for predictive modeling
Before predictive model creation, we need to check/change numerical, categorical, NAs, one unique value and high cardinality variables. This new function will assist us in this task. [Read more...]
How to use `recipes` package from `tidymodels` for one hot encoding ????
Quick introduction to `recipes` package, from the `tidymodels` family, based on one hot encoding.
Useful to automatize some data preparation tasks.
How to use `recipes` package from `tidymodels` for one hot encoding ????
Quick introduction to `recipes` package, from the `tidymodels` family, based on one hot encoding.
Useful to automatize some data preparation tasks.
A gentle introduction to SHAP values in R
Opening the black-box in complex models: SHAP values.
What are they and how to draw conclusions from them?
With R code example!
New discretization method: Recursive information gain ratio maximization
This method can discretize a variable taking into consideration the target variable, similar to what decision tree do but with gain ratio. [Read more...]
Feature Selection using Genetic Algorithms in R
From a gentle introduction to a practical solution, this is a post about feature selection using genetic algorithms in R. [Read more...]
Integrating R and Telegram
How to apply a function to a matrix/tibble
How to create a sequential model in Keras for R
This tutorial will introduce the Deep Learning classification task with Keras.
With focus on one-hot encoding, layer shapes, train & evaluate the model.How to create a sequential model in Keras for R
Sample size and class balance on model performance
Analyzing the relationship between the sample size and how it impacts on the accuracy in a classification model
How to self-publish a book: Customizing Bookdown
Centered around Bookdown, we will review some non-standard customizations in order to self-publish a book.
How to self-publish a book: A handy list of resources
tl;dr: A list of useful resources aimed to self-publish a book on Amazon using Bookdown.
Exploratory Data Analysis in R (introduction)
Exploratory data analysis (EDA) the very first step in a data project. We will create a code-template to achieve this with one function.
Exploratory Data Analysis & Data Preparation with ‘funModeling’
Exploratory data analysis, data preparation and model performance using 'funModeling' R package.
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