Train Test Split with Python Machine Learning (Scikit-Learn)

In this Python Machine Learning Tutorial, we take a look at how you can split a data set through train test split in scikit learn.
This is a great method for prepping your data before you run a model.
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[@RyanAndMattDataScience]

Hey guys I hope you enjoyed the video! If you did please subscribe to the channel!
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[@tengsolomon]

Thanks so much for your video. So simple and easy to follow.

[@RyanAndMattDataScience]

No problem. I try to keep all my vids simple and straight to the point

[@rifqimaruf]

im starting learning machine learning cause my duty on college, this video explain with ease, thank you Ryan, keep it up.

[@RyanAndMattDataScience]

Np check out my other ML vids

[@gajendrakc813]

Thank you Ryan. Learning so much from you.

[@RyanAndMattDataScience]

No problem join our discord also! We will be hosting trainings and office hours in the future

[@onurdatascience]

Important topic, great content!

[@RyanAndMattDataScience]

Thanks!

[@darks_]

Thanks a lot! Small question, what should I do if I want to have a stratified splitting with the same database?

[@kimaudreymagan484]

Thank you!

[@RyanAndMattDataScience]

No problem

[@N1246-c2f]

Thanks this makes so much sense! I'm running a multiple regression on some stock data but my r2 value is coming out pretty low.. do you know how i can improve the model? or do u have a vid on it?

[@RyanAndMattDataScience]

No problem and ye check out my Kaggle projects. I go over different techniques. Try different models and hyper parameters. Optuna also may help

[@henry-o8i]

Thanks for the great content. I wonder if you discuss data leakage in your later videos/project. I was confused on when I should do train_test_split in a project. like should i do the pre-processing data first or train_test_split first

[@RyanAndMattDataScience]

Hey may cover this way later this year. Focusing on Ai vids next few months

[@frankdearr2772]

great topic thanks 👍

[@RyanAndMattDataScience]

Thank you

[@henry-o8i]

Ryan - Great content- thanks but wonder if you can provide a road map for the playlists. I think that will be really helpful.

[@RyanAndMattDataScience]

the playlist is in order + has a few projects along the way. I do plan on adding to it later this year

[@henry-o8i]

Thank You. Thanks for the great content.- I been giving up on studying data science after attending bootcamp 2 years ago. I found your videos been really helpful for me to refresh/studying data science again.@@RyanAndMattDataScience

[@jencinas8586]

Hello , do you recommend learning sql first ,before starting with ML ?

[@RyanAndMattDataScience]

Sql and Python which I have vids on my channel

[@epicmemesandanime329]

at 3:01
why y=df["HOF"]?

[@gajendrakc813]

That is assigning HOF column as y. X ( Rest of the columns ) is input and y is output. We are using X ( rest of the columns ) to determine y ( output). Hope that made sense.

[@subhanjalpant8824]

Where is the data????

[@curiousworm1632]

Github

[@casonpark]

on his github

[@subhanjalpant8824]

@@casonpark link?