Scikit-learn also known as Sklearn module is an open-source Python module that is known for having various machine-learning algorithms. It is commonly used for data preprocessing, model training, and model evaluation. Sometimes, you forget to install the scikit-learn module on your system and when run the code, it gives you an error. In this short article, we will cover how to install Scikit-learn module on various platforms including Linux and Windows.
How to Install Sklearn on Linux and Windows?
Because of having many machine learning algorithms, the Scikit-learn module has gained popularity in recent years. It provides data preprocessing, model training, and model evaluations. The preprocessing methods that are found in Scikit-learn include scaling of data, feature extractions, visualizations, and many more. Similarly, it contains decision trees, KNN, random forest, Naive Bayes, and many other popular machine learning algorithms.
To get access to all its functionalities, you need to install the module or update the existing installed version on your system. You can use the following commands to import the sklearn module on your system:
import sklearnIf you get the error, ModuleNotFoundError: No module named ‘sklearn’ then you need to install the Scikit-learn module on your system:
How to Install Sklearn on VS Code?
VS Code Studio is a well-known editor for any kind of language. If you are using VS code studio and want to install the Scikit-learn on your system, then follow the given steps.
- Open the VS Studio
- Go to the terminal section on the top menu
- Click on the new terminal button
- A new terminal will appear at the bottom of the editor
- Type the commands “pip install scikit-learn‘ or ‘pip3 install scikit-learn‘
- It will take some time to install the scikit-learn module.
Now, close the editor and open it again.
How to Install Sklearn Module on Jupyter-Notebook?
Installing the Scikit-Learn module on Jupyter-notebook is very simple. Follow the given steps to install the module successfully on your notebook.
- Open the Jupyter notebook
- Go to any new cell
- Type the command, “!pip install scikit-learn” or ‘!pip3 install scikit-learn‘
- It will take some time to install the module
- Close the notebook and open it again to start using the Sklearn module.
How to Install Sklearn Module Using Anaconda?
Installing sklearn module using Anaconda is very much similar to installing on VS code and Jupyter-notebook. Follow the steps to install the Sklearn module.
- Open the anaconda terminal
- Type “conda install scikit-learn’ and hit enter
- Wait till the installation is complete.
- Open the desired editor and import sklearn
Install Scikit-learn on Window
In general, you can install the sklearn module on Windows using various methods. The most simple method is using the pip command. To install the Scikit-learn module on Windows, open the terminal and type any of the given commands:
# if you are using pip3
pip3 install scikit-learn
#using pip3 version
python3 -m pip install scikit-learn
# using py alias (Windows)
py -m pip install scikit-learnHopefully, any of the given commands will help you to install the module on Windows.
Install Scikit-learn on Linux
To install the Scikit-learn module on your Linux, go to the terminal. Make sure you are in the root file. Then, type any of the following commands to install the sklearn module.
# on linux operating system
sudo pip3 install scikit-learn
# or this command
pip install scikit-learn --userHope you were able to install Scikit-learn also known as Sklearn module on your system.
Conclusion
Sklearn module is a very popular module among Machine Learning engineers as it contains a lot of methods for preprocessing, model training, model evaluation, and tuning. If you are a machine learning developer, you must have come across the Sklearn module. In this short article, we discussed how we can install the Sklearn module on our system using various commands.