modeling

PostgreSQL and RStudio

1) Introduction It is so straightforward working with the IDE RStudio (in my opinion, one of the most relevant and easy to use) and a connection with a DataBase (in this case we are using PostgreSQL). Check it out in the lines below one way (of course there are other options) to connect. Enjoy it! 2) Packages we are using DBI dplyr odbc # 2) Important packages ---- library(DBI) library(dplyr) library(odbc) 3) Checking out the data sources available This is one important step that you have to check if the driver that you want was installed in your machine.

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Modeling with tidymodels in R

1) Machine Learning with tidymodels In this chapter, you’ll explore the rich ecosystem of R packages that power tidymodels and learn how they can streamline your machine learning workflows. You’ll then put your tidymodels skills to the test by predicting house sale prices in Seattle, Washington. 1.1) Tidymodels packages tidymodels is a collection of machine learning packages designed to simplify the machine learning workflow in R. In this exercise, you will assign each package within the tidymodels ecosystem to its corresponding process within the machine learning workflow.

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Modeling with tidymodels in R

1) Machine Learning with tidymodels In this chapter, you’ll explore the rich ecosystem of R packages that power tidymodels and learn how they can streamline your machine learning workflows. You’ll then put your tidymodels skills to the test by predicting house sale prices in Seattle, Washington. 1.1) Tidymodels packages tidymodels is a collection of machine learning packages designed to simplify the machine learning workflow in R. In this exercise, you will assign each package within the tidymodels ecosystem to its corresponding process within the machine learning workflow.

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