/
βββ docs # Documents
β βββ mhealth23_exercise.pdf ### Exercise description
βββ img # Images used in this README
βββ submission # Notebooks and py file for submission
β βββ group24_pathdetection.ipynb
β βββ group24_stepcount.ipynb
βββ task2 # Task2 related files
β βββ .gitignore
β βββ README.md ### Instructions for task2 submission
β βββ trace_postproc.py ### Trace postprocessing script
βββ mapzurich.png
βββ example.ipynb
βββ path_detection.ipynb # Path detection script (workspace!)
βββ step_count.ipynb # Step count notebook (workspace)
βββ README.md
- Mind your commit message format
- This repo adopts the Conventional Commits format
- The commit message should be meaningful and informative (describing what you have done)
- The
master
branch is protected, you should not (and cannot) push to it directly- ALWAYS create a new branch for your work
- Make a pull request to merge your branch to
master
- You need at least one approval from your teammates to merge your branch to
master
- After merging, delete your branch
The following docs from Kaggle are useful. Note that Kaggle can only import a certain file instead of the whole repo from GitHub.
Before you import the notebooks from GitHub, always bear in mind that
the master
branch is protected. You cannot push to it directly. Thus,
to save and sync your work on Kaggle to GitHub, it is recommended to create a
new branch first and make edits on that branch.
Note: It is not recommended to modify the notebooks in submission
directory
because they are used for submission. The recommended workspace notebooks are
the ones located directly in the root directory. For subtask 1, use step_count.ipynb
.
For subtask 3, use path_detection.ipynb
.
Note that Kaggle might automatically change the underscore (_
) in the file name into
minus(-
), which results in two almost identical files appearing on GitHub.
You can also use example.ipynb
as a starting point since it is the workspace
provided by the TAs.
In order to add data, the Add Data button is located in the notebook settings (which is hidden in at the bottom right cornor of the page, see the screenshot below).
After importing the notebook you wish to work on, add the "Mobile Health 2023 - Step Count" dataset and (if you want to use our self-recorded step count dataset) the "pigwalk" dataset to your Kaggle notebook.
After importing the notebook you wish to work on, add the "Mobile Health 2023 - Path detection Submission" dataset and the "mham_task2_submission" dataset to your Kaggle notebook.
- Course webpage
- Kaggle competitions
- Resource GitLab link
- Polybox submission links