Trust your ML models with Streamlit and IBM Cloud Pak for Data

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Trust your ML models with Streamlit and IBM Cloud Pak for Data 

Thu January 27, 2022 04:29 PM

As a data scientist, I’ve learned two things in the past few years. When it comes to making decisions about machine learning (ML) models, you need to gather the right evidence regarding your results, and communicate it to your project team and stakeholders. In other words, you can’t put models in production if you don’t look at the right things and don’t do it collectively.

In this blog post series, you’ll learn how to do that by building and monitoring ML models in Watson Studio (IBM Cloud Pak for Data’s set of Data Science services) and by visualizing and interacting with these models from Streamlit:

  • How to simulate a sample use case
  • How to share early EDA results in an interactive way
  • How to make your first Streamlit app
  • How your Streamlit app gets the data from Watson Studio
  • How to visualize the data

Can’t wait to get started? Explore the full code used for this post here.


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