duplicate file paths and code snippet for file paths

Author: eedorenko

docs/code_description.md

@@ -2,33 +2,33 @@
 
 ### Environment Setup
 
-- environment_setup/requirements.txt : It consist of list of python packages which are needed by the train.py to run successfully on host agent (locally).
+- `environment_setup/requirements.txt` : It consist of list of python packages which are needed by the train.py to run successfully on host agent (locally).
 
-- environment_setup/install_requirements.sh : This script prepare the python environment i.e. install the Azure ML SDK and the packages specified in requirements.txt
+- `environment_setup/install_requirements.sh` : This script prepare the python environment i.e. install the Azure ML SDK and the packages specified in requirements.txt
 
-- environment_setup/iac-*.yml, arm-templates: Infrastructure as Code piplines to create and delete required resources along with corresponding arm-templates.
+- `environment_setup/iac-*.yml, arm-templates` : Infrastructure as Code piplines to create and delete required resources along with corresponding arm-templates.
 
-- environment_setup/Dockerfile : Dockerfile of a building agent containing Python 3.6 and all required packages.
+- `environment_setup/Dockerfile` : Dockerfile of a building agent containing Python 3.6 and all required packages.
 
-- environment_setup/docker-image-pipeline.yml : An AzDo pipeline building and pushing [microsoft/mlopspython](https://hub.docker.com/_/microsoft-mlops-python) image. 
+- `environment_setup/docker-image-pipeline.yml` : An AzDo pipeline building and pushing [microsoft/mlopspython](https://hub.docker.com/_/microsoft-mlops-python) image. 
 
 ### Pipelines
 
-- .pipelines/azdo-base-pipeline.yml : a pipeline template used by ci-build-train pipeline and pr-build-train pipelines. It contains steps performig linting, data and unit testing.  
-- .pipelines/azdo-ci-build-train.yml : a pipeline triggered when the code is merged into **master**. It profrorms linting, data integrity testing, unit testing, building and publishing an ML pipeline.
-- .pipelines/azdo-pr-build-train.yml : a pipeline triggered when a **pull request** to the **master** branch is created. It profrorms linting, data integrity testing and unit testing only.
+- `.pipelines/azdo-base-pipeline.yml` : a pipeline template used by ci-build-train pipeline and pr-build-train pipelines. It contains steps performig linting, data and unit testing.  
+- `.pipelines/azdo-ci-build-train.yml` : a pipeline triggered when the code is merged into **master**. It profrorms linting, data integrity testing, unit testing, building and publishing an ML pipeline.
+- `.pipelines/azdo-pr-build-train.yml` : a pipeline triggered when a **pull request** to the **master** branch is created. It profrorms linting, data integrity testing and unit testing only.
 
 ### ML Services
 
-- ml_service/pipelines/build_train_pipeline.py : builds and publishes an ML training pipeline.
-- ml_service/pipelines/run_train_pipeline.py : invokes a published ML training pipeline via REST API.
-- ml_service/util : contains common utility functions used to build and publish an ML training pipeline.
+- `ml_service/pipelines/build_train_pipeline.py` : builds and publishes an ML training pipeline.
+- `ml_service/pipelines/run_train_pipeline.py` : invokes a published ML training pipeline via REST API.
+- `ml_service/util` : contains common utility functions used to build and publish an ML training pipeline.
 
 ### Code
 
-- code/training/train.py : a training step of an ML training pipeline.
-- code/evaluate/evaluate_model.py : an evaluating step of an ML training pipeline.
-- code/evaluate/evaluate_model.py : registers a new trained model if evaluation shows the new model is more performent than the previous one.
+- `code/training/train.py` : a training step of an ML training pipeline.
+- `code/evaluate/evaluate_model.py` : an evaluating step of an ML training pipeline.
+- `code/evaluate/register_model.py` : registers a new trained model if evaluation shows the new model is more performent than the previous one.
 
 ### Scoring
 - code/scoring/score.py : a scoring script which is about to be packed into a Docker Image along with a model while being deployed to QA/Prod environment.