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Uber Ludwig Tutorial #1 – What is Ludwig and how does it work



Gilbert Tanner

This video is about Uber’s Ludwig which is a toolbox for creating deep learning models without writing a single line of code.

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The code for this video:
https://github.com/TannerGilbert/Tutorials/tree/master/Uber%20Ludwig%20Introduction

If you want the written version of the tutorial check out:
https://gilberttanner.com/2019/03/02/introduction-to-ubersludwig/

Twitter: https://twitter.com/Tanner__Gilbert
Github: https://github.com/TannerGilbert
Website: https://gilberttanner.com/

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22 thoughts on “Uber Ludwig Tutorial #1 – What is Ludwig and how does it work
  1. thank for the video good job (y) I want to try this on my own data where I have 3879 tweets and labels (0 or 1) it gives me " KeyError: 'Tweet' " could you help me plz

  2. what if i have csv file with 1K+ numerical features in it .do i still need to deinfe each column names one by one 1K times ?

  3. Thank you so much, Gilbert! This is a great tutorial indeed. I have a question. Is there a way to use the Ludwig model in a Flask app to make predictions? It would be great if you can create a tutorial on how to load the model and use it through a web app, preferably in Flask. Thanks again and you gained a subscriber today 🙂

  4. Hi Gilbert, Thanks for explaining Ludwig. While trying to do the same with Python, I'm facing the below error :

    FileNotFoundError: [WinError 2] The system cannot find the file specified

    While training the model with datafram (df). Can you please help ?

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