A repo for the tutorial explaining the benefits of DVC and DAGsHub, using the classification of questions for the Cross Validated statistics Stack Exchange as an example problem

Guy 2eaa20feab Update 'README.md' 1 month ago
.dvc 5d694b4ae6 Configured the DVC remote 2 months ago
data
outputs
.dvcignore 5f487aa435 dvc init 2 months ago
.gitignore b5fd2a6367 Training script with outputs 2 months ago
README.md 2eaa20feab Update 'README.md' 1 month ago
data.dvc 6f58859a09 Added data and outputs to DVC 2 months ago
main.py 5c228ff069 Added experiment logging 2 months ago
metrics.csv c4248c5f7a Baseline experiment 2 months ago
outputs.dvc c4248c5f7a Baseline experiment 2 months ago
params.yml c4248c5f7a Baseline experiment 2 months ago
requirements.txt 89f0c1163a Initialized project 2 months ago

Data Pipeline

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README.md

DAGsHub-Tutorial

Discord

This repo represents the final state of our tutorial.

In it, we try to classify wheter questions from Cross Validated are about machine learning.

To learn more and do the tutorial yourself:

Start the tutorial


Made with 🐶 by DAGsHub.