# Models
Once the Notebook script is executed successfully, the users can save them as a model. The saved model can be loaded into the Notebook.
## Saving a Data Science Lab Model
* Navigate to a Notebook.
* Write code using the following sequence:
* Read DataFrame
* Define test and train data
* Create a model
* Execute the script by running the code cell.
Sample Script for a Data Science Model
* Get a new cell.
* Click the ***Save model*** option.
* A code gets generated in the newly added code cell.
* Give a model name to specify the model and model type as ***ml.***
* Execute the code cell.
* After the code gets executed, the Model gets saved under the ***Models*** tab.
the model gets saved
{% hint style="info" %}
*Please Note: The newly saved model gets saved under the unregistered category given inside the **Models** tab.*
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### **Function Parameters**
* model - Trained model variable name.
* modelName - Desired name given by user for the trained model.
* modelType - Type in which model can be saved.
* X - This array contains the input features or predictors used to train the model. Each row in the X\_train array represents a sample or observation in the training set, and each column represents a feature or variable.
* Y - This array contains the corresponding output or response variable for each sample in the training set. It is also called the target variable, dependent variable, or label. The Y\_train array has the same number of rows as the X\_train array.
* estimator\_type - The estimator\_type of a data science model refers to the type of estimator use.
Specify a Data Science Lab Model by giving a Model name & Model Type
## Loading a Data Science Lab Model
* Open the ***Models*** tab.
* Access the Unregistered category.
* The saved model will be available under the Models tab. Select the model by using the given checkbox to load it.
* The model gets loaded into a new cell.
* Run the cell.
Loading a saved Data Science Lab Model
{% hint style="info" %}
*Please Note: Refer the* [***Data Science Lab Quick Start Flow***](https://docs.bdb.ai/data-science-lab-4/data-science-lab-quick-start-flow) *page to get an overview of the **Data Science Lab** module in nutshell.*
{% endhint %}
