Week 12

This week's lab is meant to introduce you to the idea of time series: curve fitting, time series data, and forecasting with Prophet. In particular, we'll cover the following:

• Fitting Curves
• Smoothing
• Facebook Prophet

Note: The prophet-diagnostics.ipynb lab is completely optional. Take a look if you like, but don't worry if you'd rather stick to the basics!

Setup

1. Fork this repository.
2. Create a Codespace for your repository. Use this to view the lab notebook and work on your weekly coding exercise.
3. Once you're ready, commit and push your final changes to your repository. Note: You can also make quick edits using the GitHub Dev Editor.

Packages Available:

The environment for this week is built with the following environment.yml:

name: h501-week-12
dependencies:
  - python=3.11
  - pip
  - pip:
    - ipykernel  # for Jupyter Notebook
    - ipywidgets
    - streamlit
    - prophet
    - plotly
    - nbformat
    - seaborn
    - pandas
    - numpy
    - scipy
    - statsmodels

Note: you are welcome to install more packages in your codespace, but they will not be used by the autograder.