pip install scikit learn or sklearn

Scikit-learn, commonly referred to as sklearn, is a popular machine learning library for Python. It provides simple and efficient tools for data analysis and modeling, including various algorithms for classification, regression, clustering, and dimensionality reduction. This tutorial will guide you through the process of installing scikit-learn using pip, the Python package installer.
Open a terminal or command prompt and run the following command to install scikit-learn using pip:
This command will download and install the latest version of scikit-learn along with its dependencies.
To verify that scikit-learn has been successfully installed, you can open a Python interpreter or create a new Python script and enter the following code:
Save the file and run it. If scikit-learn is installed correctly, you should see the version number printed to the console.
Let's create a simple example to demonstrate scikit-learn's capabilities for classification. In this example, we'll use the famous Iris dataset.
This example demonstrates how to load a dataset, split it into training and testing sets, create a classifier, train it, make predictions, and evaluate its accuracy.
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