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How to handle missing data with Pandas 

Data Professor
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25 окт 2024

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Комментарии : 13   
@DataProfessor
@DataProfessor 3 года назад
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@KarenLeos91
@KarenLeos91 3 года назад
I did this for a project last year and waTched this video just to verify I actually did it correctly lol I’m so scared of having done things wrong so I really appreciated this! Thanks!
@icyrealm7
@icyrealm7 3 года назад
Great video, very useful to my particular home work assignment :)
@SeattleDataGuy
@SeattleDataGuy 3 года назад
Do you find one of these forms of missing data handling works best? or does it really depend on the situation?
@DataProfessor
@DataProfessor 3 года назад
Hi, that’s a great question, the shown approach in the video is just to show the function in action, but in a real-world situation preceding the fillin of replacement values by a groupby of the Y column values may be good way to fillin values by also considering the context of the class from which it belongs to.
@danielihenacho
@danielihenacho 3 года назад
Honestly, you are such a good teacher. How can I contact you ?
@allanbottino7001
@allanbottino7001 3 года назад
Professor, I'm trying to understand where to use sql in data science, I already understand python, ARIMA, and sql language too, but how to use it? Could you explain this to me please?
@DataProfessor
@DataProfessor 3 года назад
Hi, you can use it to retrieve/query/summarize data from a database, which lies at the core of data science where it will then be used for EDA, model building, model interpretation, etc.
@RajaSekharaReddyKaluri
@RajaSekharaReddyKaluri 3 года назад
I expected latest imputation techniques
@DataProfessor
@DataProfessor 3 года назад
Thanks, perhaps in a future video.
@nervoustalk2885
@nervoustalk2885 23 дня назад
df.fillna(df.mean()) doesn't work for me, i have to change it like this df.fillna(df.select_dtypes(include='number').mean())
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