Mikhail Rozhkov

Branch: step-3-reusable-code Tasks: - [ ] move reusable code to .py modules

Branch: step-9-experimenting-workflow Tasks: **Experiment 1** - [ ] run a new experiment with updated parameter: `dvc exp run -S train.cv=2` - [ ] show metrics with CLI: `dvc exp show`...

Branch: step-6-data-and-model-version-control (continue from https://github.com/iterative/course-ds-base/issues/11) Tasks: - [ ] add remote storage - [ ] push data and models controlled by DVC to remote storage with `dvc push` - [...

Branch: step-6-data-and-model-version-control Tasks: - [ ] create a `file.txt` - [ ] add `file.txt` to version control with DVC - [ ] create a `datadir` and add it to version...

Branch: step-9-studio Tasks: - [ ] connect a GitHub repo - [ ] walk through comparing metrics, params, plots, and running new experiments

Branch: step-7-metrics-and-experiments Tasks: - [ ] save 'reports/metrics.json` file - [ ] specify `metrics` in `dvc.yaml` - [ ] `dvc metrics show` - [ ] `dvc metrics diff`

Branch: step-6-data-and-model-version-control Tasks: - [ ] show example of `dvc list` and `dvc get` commands

Branch: step-6-data-and-model-version-control (continue from https://github.com/iterative/course-ds-base/issues/11) Tasks: - [ ] add remote storage - [ ] store `file.txt` to remote storage - [ ] delete `file.txt` in workspace - [ ]...

Branch: step-5-automate-ml-pipeline Tasks: - [ ] install DVC (in a virtual environment) - [ ] automate ML pipeline with DVC - [ ] setup dependencies and outputs - [ ]...

Branch: step-4-build-ml-pipeline Tasks: - [ ] create `src/stages` directory - [ ] create `.py` modules for each pipeline stage: - data_load.py - data_split.py - featurize.py - train.py - evaluate.py -...