# Algorithms
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*Pre-requisite:*
1. **Configure the Algorithms** using the [**Admin module**](https://docs.bdb.ai/bdb-documentation/core-platform/platform-administration/admin-panel-options/configurations/ds-lab-settings) to access them under the [**Data Science Lab Project**](https://docs.bdb.ai/bdb-documentation/data-science-lab/project/creating-a-project) creation*.*
2. The user must select Algorithms while creating a Project to make them accessible for a Notebook within the Project.
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*Check-out the walk through on how to apply Algorithms inside Notebook.*
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The entire process to access the Algorithms option inside the DS Lab and actually create a model based on the Algorithm is a three step process:
1. [**Admin Settings for Algorithms**](#admin-settings-for-algorithms)
2. [**Project Level Algorithm Selection**](#project-level-algorithm-selection)
3. [**Using Algorithm inside a Notebook**](#algorithms-tab-inside-notebook)
### Admin Settings for Algorithms
* Navigate to the ***Admin*** module.
* Open the ***Notebook Settings*** option from the ***Configuration*** section of the ***Admin*** panel.
* The Notebook Settings page opens.
* Select the ***Algorithms*** using the drop-down option.
* Click the ***Save*** option.
* A confirmation message appears to inform about the Notebook details updates.
### Project Level Algorithm Selection
Once the Algorithm settings is configured in the Admin module, the user can access the Algorithm within the Data Science Lab.
* Navigate to the ***Data Science Lab***.
* Click the ***Create Project*** option.
* Together with the other required fields select the algorithms using the given checkboxes from the drop-down menu.
* The selected Algorithms appear on the field separated by comma.
* ***Save*** the project.
### Using Algorithms inside a Notebook
Once the Algorithms are selected while creating a Project, those algorithms will be available for all the Notebooks created inside that project.
* Open the ***Notebook tab*** inside the ***same Project.***
* ***Create a new Notebook*** or ***Navigate***** to a*****n existing Notebook*** under the same Project.
* You can see ***the selected Algorithms at the project level*** get listed under the right-side panel of the Notebook.
* Add a code cell with the dataset information.
* Define the ***Dataframe*** using another code cell.
{% hint style="info" %} Please Note: You can run the cell containing the data frame details to see the data output below:
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* Add another code cell below.
* Select an algorithm type by using the checkbox.
* You will get the algorithm script pasted in the intended code cell.
* Specify train and test data.
* Run the cell.
* You can see the data output below.
* Add a new code cell below.
* Click the ***Save Model*** option.
* Specify the model name and model type in the auto generated code.
* Run the cell.
* The model gets saved and lists under the Models tab (The model will list under the ***Unregistered*** models as it is not registered yet).
* Add new code cell.
* ***Load the model*** in the cell by clicking the checkbox given next to the model.
* Specify the model as the loaded model and model type for the loaded model.
* Run the cell.
* The data output gets displayed below.
#### Registering an Algorithm based Model
This section displays the flow on how to register a saved model from a Notebook.
* Click the ***Register*** option for the saved model.
* The ***Register Model*** dialog box appears to confirm the action.
* Click the ***Yes*** option.
* A confirmation message appears to inform about the completion of the model registration action.
* The concerned model appears under the ***Registered*** model list.
* Open a Pipeline using the ***Data Pipeline module*** that contains the ***DS Lab Model Runner component***.
* You can see the same model (which was registered from the DS Lab module) listing under the ***Meta Information*** tab of the ***DS Lab Model Runner*** component.
{% hint style="info" %} Please Note: The model based on an Algorithm script can be registered as an API service. You can refer to the [***Publish a Model as an API Service***](https://docs.bdb.ai/bdb-documentation/data-science-lab/various-tabs-to-work-with/model/register-model-as-an-api-service) section for more details.
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