Using AutoML NLP (Natural Language Processing) to classify and predict multilabel texts with a custom model. The demo consists of 3 parts:
– Uploading dataset
– Training
– Evaluating results and prediction
Download .csv here: https://cloud.google.com/natural-language/automl/docs/sample/happiness.csv
Thank you!
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Hi, Gabriel, I have been looking for a demo which shows the AutoML tools in action. Yours demo shows just what I was looking for and even supplies sample data. Perfect!
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Hi Gabriel, I can not download the csv file, could you please help me with that please? Thanks
Hey Gabriel. Could you please reupload the happines.csv file?
how can we do feature engineering in AutoMl ?
uploading the happiness csv takes forever. Did anyone else run into that problem?
Does it provide a preprocessing also? Did you test it's performance with noisy data?
I have problem when execute python code in my machine , can you explain
damn gabriel !t hank you for the video !
Thanks for your video. I wonder how you arranged all those data? Is there any automation or you label it manually? Sorry, I'm new to machine learning.
Hi, Very informative video.Can i get more .csv file like happiness.csv for preparing model.
Thank you for sharing it. I have problem that i error while import the csv file that i download from you in my google cloud automl natural language so can you help me, please?
Nice demo !
Awesome work, saves my many hours. Thanks a lot.
Gracias, Grabriel! Keep posting videos like that! =]
Hola Gabriel, tengo una duda, si en lugar de subir trozos de texto subir un keyword research categorizado, ¿podría llegar a crear modelos predictivos en base a eso?
Great video! Thanks for sharing it. I think you're Argentinian, am I right?
really helpfull and well done, go ahead 🙂
thanks, much helpful
Good overview – thank you
Liked and subscribed. I really appreciate this, thank you!