Example of creating a machine learning model using Scikit-learn

 Example of creating a machine learning model using Scikit-learn

Load and preprocess a dataset using Pandas and NumPy.

Split the dataset into training and testing sets.

Choose and train a machine learning model, such as a decision tree or support vector machine, using Scikit-learn.

Evaluate the performance of the model using metrics such as accuracy or F1 score.

Use the trained model to make predictions on new data.