veyepar: Turbocharge your data science with Python AND R

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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Description:	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. markdown
Comment:	production notes

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