I been study this field for months and I can say this is the kind of video that I never found before. Very underrated channel. You earn a new subscriber!
Hello, super late to the video but can you please explain as to why you need to create dummies in 26:28 and join them to the original dataframe? Seems redundant to me, please correct me if I am wrong... The `corrdict[key] = {int( row[''Account'] ) : row['Amount']}` line doesn't really use the dummy data as it just takes the values in the Account and Amount columns in each row to create a new clean dictionary. The dummies were technically not "replaced" as the new correlation df were just built with Transposition and fillna?
Thank you for this video. I'm getting into ML and these videos are just incredible! Is there a link to the files so we can follow along? CSV or completed repo?
Hi Nick, thanks for the amazing content, I am about to dive into this series, but I'm worried about my processing capacity, I have a 4gb ram and an intel Celeron processor, is this enough to process this? because I heard I'd need a lot of processing power for Data science and ML. Thanks!
I been study this field for months and I can say this is the kind of video that I never found before. Very underrated channel. You earn a new subscriber!
ruclips.net/channel/UCD8-NT4AOm72PuCeKkkc4Lw
Hello, super late to the video but can you please explain as to why you need to create dummies in 26:28 and join them to the original dataframe? Seems redundant to me, please correct me if I am wrong...
The `corrdict[key] = {int( row[''Account'] ) : row['Amount']}` line doesn't really use the dummy data as it just takes the values in the Account and Amount columns in each row to create a new clean dictionary. The dummies were technically not "replaced" as the new correlation df were just built with Transposition and fillna?
how can i get the data .csv ?
Pls Nicholas where can i get the data used in this video from...?
Can I get the dataset to follow the tutorial? Thank you in advance.
All here, let me know how you go: github.com/nicknochnack/ScikitLearnRegression
Hi, how do we get the datasets
Hey Nichole can you provide Link for part 2 ?
Thanks, your videos are so good!!!
Hello Nicholas,
need help, if i shutdown the project, Jupyter cant read the csv data on the next day. Can you help to fix this please?
please make more videos of EDA with bigger text!
from where do i download the dataset?
I am a beginner. But I can see that this video is helping me very much
thanks a lot
ruclips.net/channel/UCsJcorsFsYTWmDldnBrUXrA
from where can i get this particular dataset??
Heya @Ash, all available in the GitHub repo: github.com/nicknochnack/ScikitLearnRegression
Thank you for this video. I'm getting into ML and these videos are just incredible! Is there a link to the files so we can follow along? CSV or completed repo?
Yup @Chuks Grinage, here you go github.com/nicknochnack/ScikitLearnRegression.
@@NicholasRenotte Thank you! I love the videos! Keep it up!
@@chuksgrinage7238 hell yeah, will do!!
You're amazing dude
Is this video beginners friendly ?
Hi Nick, thanks for the amazing content, I am about to dive into this series, but I'm worried about my processing capacity, I have a 4gb ram and an intel Celeron processor, is this enough to process this? because I heard I'd need a lot of processing power for Data science and ML. Thanks!
ruclips.net/channel/UC07uCqEcBGuLyUsg4d_tSRg
Thanks!
🙏 anytime!
Thank you very much sir!
Thanks a ton @Angelo, glad you enjoyed it!
Wow, 0 dislike videos are rare nowadays.
Just noticed that, ha, you're right. We'll see how long that lasts 😅😂
Can i have your code, thank you a lot
If someone have his code and dataset, can you guys send me, i really appreciate
Awesome! Anytime.