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Turbocharge your data science with Python AND R
--client
nbpy
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nbpy18
--room mystic 14452 --force
Next: 11 2FA, WTF
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Marks
Author(s):
Kelli-Jean Chun
Location
Mystic Theatre
Date
nov Sun 04
Days Raw Files
Start
16:00
First Raw Start
15:44
Duration
0:30:0
Offset
0:15:49
End
16:30
Last Raw End
16:44
Chapters
00:00
0:05:11
Total cuts_time
18 min.
https://2018.northbaypython.org/schedule/presentation/16/
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Python is an incredibly powerful language capable of handling all aspects of the data science workflow: - **ETLs** - **Pre-learning:** Exploratory data analysis, data visualizations, feature engineering - **Learning:** Building machine learning & statistical models for prediction or explainability - **Post-learning:** Model evaluation and interpretability - **Deployment** So, why the heck would you introduce R into this framework? Because R is also an incredibly powerful language capable of handling the entire data science workflow. So, why not just use R? A better question is: why not use both? The two languages can be used together to streamline this process. In this talk, you will learn how Python and R can be used to complement each other and produce higher quality results faster.
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production notes
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