Small edits (#796)

docs/guides/clearml_agent/exp_environment_containers.md

@@ -76,7 +76,7 @@ Make use of the container you've just built by having a ClearML agent make use o
    :::
 
    This agent will pull the enqueued task and run it using the `new_docker` image to create the execution environment. 
-   In the task's **CONSOLE** tab, one of the first logs should be:
+   In the task's **CONSOLE** tab, one of the first logs displays the following:
    
    ```console
    Executing: ['docker', 'run', ..., 'CLEARML_DOCKER_IMAGE=new_docker', ...].

docs/guides/ide/google_colab.md

@@ -12,7 +12,7 @@ and running, users can send Tasks to be executed on Google Colab's hardware.
 
 ## Prerequisites
 * Be signed up for ClearML (or have a server deployed).
-* Have a Google account to access Google Colab
+* Have a Google account to access Google Colab.
 
 
 ## Steps 

docs/guides/reporting/explicit_reporting.md

@@ -20,7 +20,7 @@ example script from ClearML's GitHub repo:
 ## Before Starting
 
 Make a copy of [pytorch_mnist.py](https://github.com/allegroai/clearml/blob/master/examples/frameworks/pytorch/pytorch_mnist.py) 
-in order to add explicit reporting to it.
+to add explicit reporting to it.
 
 ```bash
 cp pytorch_mnist.py pytorch_mnist_tutorial.py

docs/guides/ui/building_leader_board.md

@@ -87,7 +87,7 @@ Auto refresh allows monitoring the progress of experiments in real time. It is e
 
 **To enable / disable auto refresh:**
 
-* Hover over refresh and then check / uncheck the **Auto Refresh** checkbox.
+* Hover over refresh and then check / clear the **Auto Refresh** checkbox.
 
 ## Step 6: Save the Tracking Leaderboard