Tutorial 10: Bayesian Inference: Part 11: Bayesian Linear Regression in Python

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In this video, we implement the Bayesian Linear Regression model in Python. We also visualize the uncertainty in the prediction results. You must watch the previous videos on the Bayesian Linear Regression model.

Here is the link to the example data:

  1. Brewing a cup of data
  2. data
  3. science
  4. machine
  5. learning
  6. statistics
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Комментарии
Автор

Thank you for the great tutorial. I have been trying to develop a model to predict the displacement of people and given how open-source data is limited, these tutorials on Bayesian inference have really helped me to get started. Wish there was a way to get in touch with you

zaibujumaiWitness
Автор

Hi, thanks for the great tutorial! I noticed that the example only covers the case with a single feature. Could you please explain how to adapt the code for multiple features? I'd love to understand how to handle the design matrix and update the regression model in that scenario. Thanks!

henrywang
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