Exploratory Data Analysis With Pandas || Python Machine Learning PT.1

[@faustopf-.]

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!

[@glitch_exee]

th-cam.com/channels/D8-NT4AOm72PuCeKkkc4Lw.html

[@stigobandio]

Thanks, your videos are so good!!!

[@andrealcantara1437]

Really good video! I'm a beginner and I get some difficulties analyzing my features, which makes my EDA less thorough.

[@NicholasRenotte]

Thanks so much @Andre, treat EDA as an evolutionary process. As you learn more about the industry, business environment and problem you'll be able to refine your EDA.

[@firushanov]

Can I get the dataset to follow the tutorial? Thank you in advance.

[@NicholasRenotte]

All here, let me know how you go: github.com/nicknochnack/ScikitLearnRegression

[@peacewembo6200]

I am a beginner. But I can see that this video is helping me very much
thanks a lot

[@glitch_exee]

th-cam.com/channels/sJcorsFsYTWmDldnBrUXrA.html

[@youssoufabayazid2344]

how can i get the data .csv ?

[@diegoavendanohernandez9908]

You're amazing dude

[@DaveworldInspires]

Pls Nicholas where can i get the data used in this video from...?

[@siddhantgaurav7053]

Hey Nichole can you provide Link for part 2 ?

[@genaro192]

please make more videos of EDA with bigger text!

[@HelenKABU]

Hi, how do we get the datasets

[@amoshnin]

Thanks!

[@NicholasRenotte]

🙏 anytime!

[@parkuuu]

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?

[@angeloburias7004]

Thank you very much sir!

[@NicholasRenotte]

Thanks a ton @Angelo, glad you enjoyed it!

[@chuksgrinage7238]

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?

[@NicholasRenotte]

Yup @Chuks Grinage, here you go github.com/nicknochnack/ScikitLearnRegression.

[@chuksgrinage7238]

@@NicholasRenotte Thank you! I love the videos! Keep it up!

[@NicholasRenotte]

@@chuksgrinage7238 hell yeah, will do!!

[@quiz_meister]

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?

[@aakrit4421]

from where do i download the dataset?

[@heyrobined]

[@NicholasRenotte]

Awesome! Anytime.

[@gideonodekina6532]

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!

[@glitch_exee]

th-cam.com/channels/07uCqEcBGuLyUsg4d_tSRg.html

[@Aikokonami]

from where can i get this particular dataset??

[@NicholasRenotte]

Heya @Ash, all available in the GitHub repo: github.com/nicknochnack/ScikitLearnRegression

[@mohdadib503]

Is this video beginners friendly ?

[@masteronepiece6559]

Wow, 0 dislike videos are rare nowadays.

[@NicholasRenotte]

Just noticed that, ha, you're right. We'll see how long that lasts 😅😂

[@hoangphanhuy1992]

Can i have your code, thank you a lot
If someone have his code and dataset, can you guys send me, i really appreciate