fireplace | A Hearthstone simulator in Python

Why are the variable importance plots different between tidymodels and caret when including interaction terms? I have demonstrated with the Ames housing data below. I used the same alpha/mixture and lambda/penalty in both models. The only difference between the models it the cross validation folds (I cannot figure out how to use tidymodel's folds with caret's train). Any ideas on why this is happening?

So I'm trying to make function for preprocessing dataaset in semantic segmentation. but it tells me that my function is not define. Whereas is actually define on there. my code is like this

I am having an issue with my navbar, once I make the browser tab smaller, the text stays the same size but the logo gets smaller and smaller and disappears. How can I make it so everything gets smaller? If any more information is needed I will provide them. Here are some examples of my problem. 100% width page vs Page made smaller for smaller screens for example

I am currently trying to crack a programming puzzle that has the very simple dataframe host with 2 columns named city and amenities (both are object datatype). Now, entries in both columns could be repeated multiple times. Below is the first few entries of host is beLOW

I am working on a webpage for class and we are learning about how to put videos on our websites. We aren't using JS just CSS and HTML. I know how to get a photo to float to the right but for some reason I can't get a video too. I got it placed on the right side of the page but it just screwed up the layout and moved my footer higher up on the page then it should be. The CSS is for 2 webpages so if it looks like it has things that don't belong that is why. Also this is not a video from youtube. Most examples I've seen come up are explaining that but not exactly the issue I'm having

HTML:

I'm trying to compete on the House Prices - Advanced Regression Techniques Kaggle competition

I'm writing a custom transformer that works seamlessly with Scikit-Learn functionalities that adds combined attributes

the transformer has four hyperparameters (add_baths, add_bsmt_baths, add_above_grade_baths, add_porch_area) set to True by default. This hyperparameters will allow me to easily find out whether adding this attributes helps the Machine Learning algorithms or not.

But the problem is that when I set one of these hyperparameters to False, the class still returns me the column as if I set it to True

I am trying to build a model on House Prices - Advanced Regression Techniques data set (1460, 80). It has 37 Numerical Features and 43 Categorical Features.

I want to Scale the Numerical Feature first then. One_hot_encode the Categorical Feature. I am using MinMax scaler along with Column transformer.

after scaling the data, the DataFrame is not retaining the column names

Here is my code

I am building a website with a lot of items. So the path is like:

example.com/catalog/indoor/fireplace/awesome-one

And currently I am creating hundreds and hundreds of Vue instances:

I am currently trying to count the number of NAs found in each of my dataset's columns.

I am running the following code: