Should I learn pandas before scikit-learn?

You are always great

Excellent advice. I recommend this dude. (this is not his Mom)

If you are using Pandas as part of your job on a daily basis then you are likely to become pretty familiar very quickly. If you use it now and then it can be very frustrating as it has a huge array of methods to get things done, its not a low level, learn a few things in order to get anything done kind of box. What then would be the minimum set of instructions/constructs to get by with, a minimum cheat sheet if you like

Hello sir...i did watch your all pandas and scikit learn videos and others.All are fantastic. Sir i am new to machine learning and i did work on datasets like titanic and iris. Sir but still i am so confused how do i move forward for practice on datasets with different algorithm. Sir can you make a video for understanding all the things needed to be done from start to end of the dataset? Thank you sir

When can I call myself a Data Scientist?

The best answer and advice ever

I started learning from you today.
Now I am learning your scikit learn tutorial. You teach best. Thank you!

Hello Kevin,
First of all, thank you for another interesting video. I have a question but it is not related to the target topic. I would like to know what kind of software or equipment you use to create your videos.
Thank you in advance.
Francisco

How to input big data like big csv data 2Giga from your pc

Thank you!

You are the best smh I can’t believe how awesome you are

Sir awesome adivice...

Can u advice on basic and fundamental library we must learn for data analysis...

Thank you sir...n I have a question if we have a series of multi-index n then there is a corresponding values to multi-index n now I want to create those values as column keeping multi- index as it is....i.e multi-index n many column taken from a series....

I love your videos!

Yes. Pandas is inevitable.

Wish I had it earlier.

why am I learning this
to pass the exam

nice explanation, one question which tools do you suggest for data analytic fields, I mean for analysis, there is programming languages like Python(Pandas) and software like power Bi or Tableau.
Another question is that, it is said taking benefit of programming languages like python for analysis is just making sense for large datasets, do you agree with that? because in my opinion Pandas is versatile and is beneficial in every analysis.

Hi Kevin,
Can you Identify some of the most common problems solved by ML and others don't need ML.
Thanks

a clear answer. Perfect! I hate "it depends" answers 😁

thanks