What are some practical examples of using scikit-learn?
Scikit-learn is great for various tasks! For instance, you can use it for classification, regression, and clustering.
Can you give me a specific example of a classification task?
Sure! A common example is using the Iris dataset to classify different species of iris flowers based on their features.
How do I implement that in Python?
You can start by importing the dataset, then use the train_test_split
function to split your data, and finally apply a classifier like RandomForestClassifier
.
What if I want to visualize the results?
You can use libraries like Matplotlib or Seaborn to create plots that show the decision boundaries or the distribution of your predictions.
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