Featuretools | Machine Learning & Data Science Open-source Spotlight #2
Are you using Featuretools? 🔎
Featuretools is a Python open-source library which offers automated feature engineering. What I particularly liked in this library is the ability to elegantly extract features from multiple tables and aggregate them to one final dataset.
Video notebook:
github.com/danbochman/Open-So...
Featuretools:
github.com/FeatureLabs/featur...
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With these "Machine Learning & Data Science Open Source Spotlight" weekly videos, my objective is to introduce many game-changing libraries, which I believe many people can benefit from.
I would love to hear your feedback!
Did this video teach you something new?
Are there any open-source libraries you think deserve a spotlight?
Let me know in the comments! 👇🏻
Пікірлер: 12
Thank you for this video Dan, you explain the important parts of feature tools in a very easy and understandable way.
Thank you so much for your explanation, I learned more in this one video than reading multiple articles where my mind felt bogged and bored each time I read a line but this is so digestible and easy to understand
Great video, worth trying the notebook after reading the paper
fantastic video must say,,keep going sir...ur really really great...teaching such a complex thing in such short video ythat too so clear...thanks a lottt again
Very nice explanation, clear and precise! :) Only video on KZread!
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Hi Dan, thank you for this video. Please consider making a video on solving a ds project using feature tools and machine learning, that would really help me a lot.
Hey Dan, excellent video . Could u please share the relevant links in the video description
@danbochman
3 жыл бұрын
Hey! Sorry for the delay, KZread for some reason didn't send me notifications for comments on my videos... I've added the links to the description (if by any chance still relevant)
Hi, trying to do your excerise code , but an error appears : TypeError: dfs() got an unexpected keyword argument 'entities'.
@danbochman
2 жыл бұрын
Hi Maria, It has been 2 years, so they probably changed their dfs function arguments. Looking in the documentation for dfs: featuretools.alteryx.com/en/stable/generated/featuretools.dfs.html It seems this function now expects an argument called entityset And this entityset is: "entityset (EntitySet) - An already initialized entityset. Required if dataframes and relationships are not defined." EntitySet seems to be a new class : featuretools.alteryx.com/en/stable/generated/featuretools.EntitySet.html Perhaps my guide is outdated in terms of syntax but the concept should stay the same!