Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

cases: add custom meta title and meta description to (data versioning tutorial) [SEO] #1856

Merged
merged 5 commits into from
Oct 22, 2020
Merged

cases: add custom meta title and meta description to (data versioning tutorial) [SEO] #1856

Changes from 3 commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
b4e4b09
Add front matter title and description to data versioning tutorial.
jeremydesroches Oct 12, 2020
58e0977
Reflow frontmatter description to 80 characters.
jeremydesroches Oct 13, 2020
ca08936
Remove duplicate terms for clarity and match body to meta description.
jeremydesroches Oct 18, 2020
e23c523
Update content/docs/use-cases/versioning-data-and-model-files/tutoria…
jorgeorpinel Oct 22, 2020
cb70c22
Update content/docs/use-cases/versioning-data-and-model-files/tutoria…
jorgeorpinel Oct 22, 2020
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
9 changes: 8 additions & 1 deletion content/docs/use-cases/versioning-data-and-model-files/tutorial.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,8 +1,15 @@
---
title: 'Tutorial: Data & Model Versioning'
jorgeorpinel marked this conversation as resolved.
Show resolved Hide resolved
description: 'Get hands-on experience with data versioning in a basic machine
learning version control scenario: managing multiple datasets and ML models
using DVC.'
---

# Tutorial: Data & Model Versioning
jorgeorpinel marked this conversation as resolved.
Show resolved Hide resolved

The goal of this example is to give you some hands-on experience with a basic
machine learning version control scenario: managing multiple datasets and ML
model versions using DVC commands. We'll work with a
models using DVC. We'll work with a
[tutorial](https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html)
that [François Chollet](https://twitter.com/fchollet) put together to show how
to build a powerful image classifier using a pretty small dataset.
Expand Down