Fitting a linear regression model

The parsnip package provides a unified syntax for the model fitting process in R.

With parsnip, it is easy to define models using the various packages, or engines, that exist in the R ecosystem.

In this exercise, you will define a parsnip linear regression object and train your model to predict selling_price using home_age and sqft_living as predictor variables from the home_sales data.

The home_training and home_test tibbles that you created in the previous lesson have been loaded into this session.

यह अभ्यास पाठ्यक्रम का हिस्सा है

Modeling with tidymodels in R

पाठ्यक्रम देखें

इंटरैक्टिव व्यावहारिक अभ्यास

इस अभ्यास को इस नमूना कोड को पूरा करके आज़माएँ।

# Initialize a linear regression object, linear_model
linear_model <- ___ %>% 
  # Set the model engine
  ___ %>% 
  # Set the model mode
  ___

कोड संपादित करें और चलाएँ