add license to README

README.md

@@ -1,27 +1,6 @@
 ---
 license: mit
 ---
-Cookiecutter-MLOps
-==============================
-
-A cookiecutter template employing MLOps best practices, so you can focus on building machine learning products while
-having MLOps best practices applied.
-
-Instructions
-------------
-1. Clone the repo.
-2. Run `make dirs` to create the missing parts of the directory structure described below.
-3. *Optional:* Run `make virtualenv` to create a python virtual environment. Skip if using conda or some other env manager.
-    1. Run `source env/bin/activate` to activate the virtualenv.
-4. Run `make requirements` to install required python packages.
-5. Put the raw data in `data/raw`.
-6. To save the raw data to the DVC cache, run `dvc add data/raw`
-7. Edit the code files to your heart's desire.
-8. Process your data, train and evaluate your model using `dvc repro` or `make reproduce`
-9. To run the pre-commit hooks, run `make pre-commit-install`
-10. For setting up data validation tests, run `make setup-setup-data-validation`
-11. For **running** the data validation tests, run `make run-data-validation`
-12. When you're happy with the result, commit files (including .dvc files) to git.
 
 Project Organization
 ------------
@@ -78,4 +57,4 @@ Project Organization
 
 To create a project like this, just go to https://dagshub.com/repo/create and select the **Cookiecutter DVC** project template.
 
-Made with 🐶 by [DAGsHub](https://dagshub.com/).
+Made with 🐶 by [DAGsHub](https://dagshub.com/).