- Created a new R script 'packages.R' to manage necessary packages for the Classification and Regression module.
- Included a list of required packages and a function to install any missing packages.
- Implemented loading of all packages and added a success message upon completion.
- Added langchain-mistralai version 1.1.1 to pyproject.toml dependencies.
- Updated uv.lock to include langchain-mistralai package details and its dependencies.
- Updated pyproject.toml to include "tiktoken>=0.12.0" in dependencies.
- Modified uv.lock to reflect the addition of tiktoken in both dependencies and requires-dist sections.
- Updated execution counts for code cells to reflect changes.
- Enhanced output formatting for matched FAQs, including clearer question and answer presentation.
- Adjusted the similarity threshold in the `match_faq` function to allow for looser matching (default set to 0.5).
- Improved documentation for the threshold parameter to clarify its usage.
- Add extraction/NA-cleaning of residuals and plots + ACF for additive and multiplicative decompositions
- Clarify why multiplicative seasonality fits AirPassengers better
- Update STL plot title
- Add ACF for the final differenced series
- Expand explanation of differencing operators and show combined differencing formula
- Updated pyproject.toml to include ipywidgets version 8.1.8.
- Modified uv.lock to add ipywidgets and its dependencies, including jupyterlab-widgets and widgetsnbextension.
- Added folium (>=0.12) and mapclassify (>=2.10.0) to pyproject.toml dependencies.
- Updated uv.lock to include new packages: branca (0.8.2), folium (0.20.0), and mapclassify (2.10.0) with their respective dependencies.
- Added sequenzo version 0.1.20 to the project dependencies.
- Updated uv.lock with new packages: cython, docutils, fastcluster, missingno, rpy2, rpy2-rinterface, rpy2-robjects, and their respective versions.
- Ensured all dependencies are properly listed with their sources and wheel URLs.
