---
description: >-
  Try out the Prophet/DeepAR tutorials which was recommended. Try to
  answer/prepare the homework problems.
---

# Week 11 - Prophet(Facebook) + DeepAR(Amazon) + GPVAR

Finalize your semester project !!!

Check-Out these links:

{% embed url="https://www.youtube.com/watch?v=2XFro0nIHQM" %}

{% embed url="https://www.youtube.com/watch?v=KvLG1uTC-KU" %}

{% embed url="https://www.youtube.com/watch?v=j0eioK5edqg" %}

{% embed url="https://www.youtube.com/watch?v=xcbj0RE3kfI" %}

{% embed url="https://www.youtube.com/watch?v=B_a0K2Uj85Q" %}

{% embed url="https://forecastegy.com/posts/multiple-time-series-forecasting-with-deepar-in-python/" %}

{% embed url="https://distill.pub/2019/visual-exploration-gaussian-processes/" %}

{% embed url="https://peterroelants.github.io/posts/gaussian-process-tutorial/" %}

{% embed url="https://peterroelants.github.io/posts/gaussian-process-kernel-fitting/" %}

{% embed url="https://peterroelants.github.io/posts/gaussian-process-kernels/" %}

{% embed url="https://nbviewer.org/github/adamian/adamian.github.io/blob/master/talks/Brown2016.ipynb" %}

[http://adamian.github.io/talks/Damianou\_GP\_tutorial.html](http://adamian.github.io/talks/Damianou_GP_tutorial.html)

[https://jovian.com/nkafr/deepvar](https://jovian.com/nkafr/deepvar)

{% embed url="https://towardsdatascience.com/deep-gpvar-upgrading-deepar-for-multi-dimensional-forecasting-e39204d90af3" %}
