Predict ratings for chocolate with tidymodels 

These videos of yours are, hands down, the best series of tidymodels there are! I would love to see some time series modeling soon! Thanks for all the effort put into this, Julia! You are a blessing!

As always, very insightful and great learning from your videos !

Thanks for sharing this valuable knowledge, Julia! Very interesting

Awesome! Thank you so much for these amazing videos, Julia!

As always.. impressive

I love your videos - they're informative, well structured and fun :) Would you ever make videos for a broader audience? I think you could do a great job getting people excited to use R

Great video, really enjoyed coding along with this. I'm about half way through Tidy Modelling with R now and am having so much fun building models with it. It would be nice to see you do more time series based videos sometime. Thanks.

Awesome!!

I think I may just fell in love with the cuteness, as much as of course with the superbly introduced and tutored ML codes...

Hi Julia, great video as always. I wonder if you have any package or material suggestions for a beginner to microsimulation modelling with R?

What package is the template part of?

Hi, one thing that was missed in the data preparation step was to account for "most_memorable_characteristics" consisting of 2 words. For example "sour fruit", "sour notes", "off note", etc. What would be the best way to substitute these so that the "unnest_tokens" takes them into account as one? I think this would work chocolate %>% unnest_tokens(word, most_memorable_characteristics, token = stringr::str_split, pattern = ",") %>% count(word, sort = TRUE)

Julia, could you please help in the final code chunk I am receiving the the error "no tidy method for objects of class ranger." In other words, it won't run tidy()