How to Install SKLearn (Scikit-learn) in Visual Studio Code (2023)

If you’re a data scientist or a machine learning engineer, you probably use scikit-learn (SKLearn) for developing machine learning models. Visual Studio Code is a popular integrated development environment (IDE) for coding, and it’s a great place to work on your machine learning projects. In this article, we’ll walk you through the process of installing scikit-learn in Visual Studio Code in 2023.

Step 1: Install Python and Visual Studio Code

Before you can start working with scikit-learn in Visual Studio Code, you need to have Python and Visual Studio Code installed on your computer. You can download the latest version of Python from the official website (https://www.python.org/downloads/) and Visual Studio Code from the official website (https://code.visualstudio.com/Download).

Step 2: Create a Python Virtual Environment

It’s always a good practice to work in a virtual environment to avoid compatibility issues and keep your project dependencies isolated. Open a terminal in Visual Studio Code and create a new virtual environment using the following command:

python -m venv myenv

Replace “myenv” with the name you want to give to your virtual environment. Once the virtual environment is created, activate it using the following command:

.myenvScriptsactivate

Step 3: Install scikit-learn

Now that you have your virtual environment set up, you can install scikit-learn using pip, the Python package manager. Run the following command to install scikit-learn:

pip install scikit-learn

Step 4: Verify the Installation

To make sure that scikit-learn is installed correctly, you can run a simple test in Visual Studio Code. Create a new Python file and write the following code:

import sklearn
print(sklearn.__version__)

Run the code, and if you see the version of scikit-learn printed in the output, it means that the installation was successful.

Conclusion

Installing scikit-learn in Visual Studio Code is a relatively straightforward process. By following the steps outlined in this article, you can set up your development environment and start building machine learning models with scikit-learn in no time. Happy coding!