Hi
Given the data set your task is to predict the tags associated with a
recipe.
Input - A dataframe with the
columns:(”cooking_method”,”cuisine”,”ingredients”,”prep_time”,”recipe_name”,”serves”
)
Target Column - tags
Evaluation Criteria - Cross Entropy Loss
Deliverables : A Jupyter notebook detailing the steps and approach. Design your
transformation/pipeline so that we can pass a test data frame to get the prediction.