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

Want to know what a modern day superpower looks like…

Just learn machine learning with Python!

Alright, well maybe it’s not quite a super power but it sure does get close. Advancements in machine learning have meant that the world is becoming just a slightly better place. Machine learning is now used in drug discovery, predicting migration flows and for identifying disease.

Want to start your journey? It all begins with exploratory data analysis with Python!

In part one of the Python Machine Learning series, you’ll learn
- How to work with data in Python
- Conduct exploratory analysis using the Pandas library
- Create stunning visualisations with Seaborn and Matplotlib

Other Resources

Oh, and don't forget to connect with me!

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!

Music by Lakey Inspired

[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!

[DaveworldInspires]

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

[andrealcantara]

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

[siddhantgaurav]

Hey Nichole can you provide Link for part 2 ?

[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?

[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?

[genaro]

please make more videos of EDA with bigger text!

[firushanov]

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

[peacewembo]

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

[gideonodekina]

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!

[chuksgrinage]

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?

[hoangphanhuy]

Can i have your code, thank you a lot
If someone have his code and dataset, can you guys send me, i really appreciate <3

[masteronepiece]

Wow, 0 dislike videos are rare nowadays.

[Aikokonami]

from where can i get this particular dataset??