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Great explanation, thanks!

I can't import seaborn? it doesn't work

great videos thank you for your contribution to the world

This video is very helpful. Thank yoU! <-- New Subscriber

Opeth ♥♥♥

Great video! Actually, ChatGPT recommended this video to me to watch about self-joins LOL

Stats Playlist: ruclips.net/p/PLcQVY5V2UY4LF-eHg0tfTpWHhgpX9XF4S Hey guys I hope you enjoyed the video! If you did please subscribe to the channel! Join our Data Science Discord Here: discord.com/invite/F7dxbvHUhg If you want to watch a full course on Statistics check out Datacamp: datacamp.pxf.io/XYD7Qg Want to solve Python data interview questions: stratascratch.com/?via=ryan I'm also open to freelance data projects. Hit me up at ryannolandata@gmail.com *Both Datacamp and Stratascratch are affiliate links.

I calculated by hand and i found q1 = 23 and q3= 85 , why there are differences between this and numpy results? And how exactly can you calculate the 13th or 77th by hand?

One question to the community. Which one of the two is better: 1. df.describe() 2. print(df.describe())

As always, great video! learned a lot as a beginner (student) in the field of ML and data science. Can you please make a video about KMeans?

ChatGPT somehow recommended me this video and it helped me a lot, ty!

Hey Ryan, I'm still impressed that you actually ran 100 miles, that's crazy and amazing, I can't even imagine what it's like to run 32 hours like you did

Amazing video, congratulations on the quality of the content. It is really useful and you are making a difference in people's education.

2nd 😁

Can we chat with multiple dataframe

1st

Why not add an extra minute to the video and actually show the plot? I realized you have done the same thing with the Decision tree video. I as a beginner would really appreciate adding that extra minute or two, just to get the full idea of the process. And thanks for the effort and the great videos you make.

how do i find the p-value of these coefficients?

Are u using jupyter notebook?

thank you very much, can you please create Langchain playlist in playlists? It would be more easy ;) Thank you.

Bro, In r2 score, mean square error, mean absolute error, it should be (y_test,y_pred) right???Can u plz explain this????????

Straight to the point and no BS, very great

is there any back transformation taht needs to be done afterwards?

Should I do polynomial and/or log transformations before normalizing or after?

Are you able to do the scaling first before train test split?

this was very insightful.how do you deal with say 5 or 8 multiple categorical data?

Your head is over the code that you are generating. It would help substantially if you could move the part with your camera to a different part of the screen (perhaps upper left hand corner?).

Hey Ryan, great video. it really helped me get a better understanding of t-tests and how to run them using python. I only have one problem when you do the plotting at the end. The code is hard to read as some of it is outside the video frame. Could you provide the code or a link to your colab notebook to show us better insights ?

I'm still waiting for kalman_filter full video. Explanation and well explain code

It was actually great, good work !!!

Much needed content bro

Smashing bud

🌟 star!

Is there any git repository for this and ur other videos?

Legend

I loved your Pandas 23 easy problems video! The content was amazing. Could you please upload a video on medium-level Pandas questions? Your videos are incredibly helpful!

why make changing the data type so long? at 29:00... cant we just use the same method we did for changing the data types for rookie year and final year?

Thank you for insightful video.one question,how do you do code when you have multiple features say 5 or ten? using the column_transformer

Would it make sense to do a kruskal-wallis significance test for scaled indices that have been scaled 0-1 with min-max? Thank you ❤

Hey guys I hope you enjoyed the video! If you did please subscribe to the channel! Join our Data Science Discord Here: discord.com/invite/F7dxbvHUhg If you want to watch a full course on Statistics check out Datacamp: datacamp.pxf.io/XYD7Qg Want to solve Python data interview questions: stratascratch.com/?via=ryan I'm also open to freelance data projects. Hit me up at ryannolandata@gmail.com *Both Datacamp and Stratascratch are affiliate links.

what if the country name or the player is written in a synonym or nickname? currently i want to merge index data from various countries but they are written differently in the dataframes (United States, United States of America) How do i handle synonyms here to have only one written name...its for over 180 country names so its a kinda big dataset to compare it manually

Thanks

Funniest tutorial intro in history. #RogerClemens #BarryBonds #PeteRose

Wonderful lecture. Grateful

Thank you for the wonderful lecture

Very simple yet with so much insights, thanks Ryan

thank you!

Sorry if i got this wrong but shouldnt query decomposition result in worse results? The whole point behind the transformer model was attention to detail i.e get results and weights of a word according to all the other words/tokens making the model understand (Predict) the next token much more accurately. With query decomposition we are breaking the query and selecting the the result for each query with the highest probability from the database , but shouldnt that result in an output which is not closely related to the other queries? Also would love a hands on rag coding series to understand this more Thanks!

Appreciate it man, graduated last April and this series has been a lifesaver to refresh my python skills before I begin working.

46&2 is a Tool reference, am I right? Cover this song with my band lol.