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@@ -132,8 +132,8 @@ Now, [command-line arguments](../../fundamentals/hyperparameters.md#tracking-hyp
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Sit back, relax, and watch your models converge :) or continue to see what else can be done with ClearML [here](ds_second_steps.md).
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## Youtube Playlist
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## YouTube Playlist
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Or watch the Youtube Getting Started Playlist on our Youtube Channel!
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Or watch the YouTube Getting Started Playlist on our YouTube Channel!
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[](https://www.youtube.com/watch?v=bjWwZAzDxTY&list=PLMdIlCuMqSTnoC45ME5_JnsJX0zWqDdlO&index=2)
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@@ -181,8 +181,8 @@ or check these pages out:
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- Improve your experiments with [HyperParameter Optimization](../../fundamentals/hpo.md)
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- Check out ClearML's integrations to [external libraries](../../integrations/libraries.md).
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## Youtube Playlist
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## YouTube Playlist
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All these tips and tricks are also covered by our Youtube Getting Started series, go check it out :)
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All these tips and tricks are also covered by our YouTube Getting Started series, go check it out :)
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[](https://www.youtube.com/watch?v=kyOfwVg05EM&list=PLMdIlCuMqSTnoC45ME5_JnsJX0zWqDdlO&index=3)
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@@ -11,7 +11,7 @@ If you are afraid of clutter, use the archive option, and set up your own [clean
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- Track the code base. There is no reason not to add metrics to any process in your workflow, even if it is not directly ML. Visibility is key to iterative improvement of your code / workflow.
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- Create per-project [leaderboards](../../guides/ui/building_leader_board.md) based on custom columns
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(hyper parameters and performance accuracy), and bookmark them (full URL will always reproduce the same view & table).
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(hyperparameters and performance accuracy), and bookmark them (full URL will always reproduce the same view & table).
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- Share experiments with your colleagues and team-leaders.
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Invite more people to see how your project is progressing, and suggest they add metric reporting for their own.
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These metrics can later be part of your own in-house monitoring solution, don't let good data go to waste :)
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@@ -64,7 +64,7 @@ Cloning a task duplicates the task’s configuration, but not its outputs.
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**To clone an experiment in the ClearML WebApp:**
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1. Click on any project card to open its [experiments table](../../webapp/webapp_exp_table.md)
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1. Right click one of the experiments on the table
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1. Right-click one of the experiments on the table
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1. Click **Clone** in the context menu, which will open a **CLONE EXPERIMENT** window.
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1. Click **CLONE** in the window.
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@@ -76,7 +76,7 @@ Docker container image to be used, or change the hyperparameters and configurati
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Once you have set up an experiment, it is now time to execute it.
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**To execute an experiment through the ClearML WebApp:**
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1. Right click your draft experiment (the context menu is also available through the <img src="/docs/latest/icons/ico-bars-menu.svg" alt="Menu" className="icon size-md space-sm" />
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1. Right-click your draft experiment (the context menu is also available through the <img src="/docs/latest/icons/ico-bars-menu.svg" alt="Menu" className="icon size-md space-sm" />
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button on the top right of the experiment’s info panel)
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1. Click **ENQUEUE,** which will open the **ENQUEUE EXPERIMENT** window
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1. In the window, select `default` in the queue menu
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@@ -27,7 +27,7 @@ clearml-data sync --folder ./from_production
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We could also add a Tag `latest` to the Dataset, marking it as the latest version.
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### Preprocessing Data
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The second step is to preprocess the date. First we need to access it, then we want to modify it
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The second step is to preprocess the date. First we need to access it, then we want to modify it,
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and lastly we want to create a new version of the data.
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```python
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