How to load sample datasets in python

to load sample datasets in python, you can use built-in datasets available in libraries such as scikit-learn, seaborn, and pandas. these datasets are commonly used for practicing data analysis, machine learning, and visualization tasks. here is a step-by-step tutorial on how to load sample datasets in python using these libraries:

1. using scikit-learn:
scikit-learn is a popular machine learning library in python that provides several sample datasets. you can load these datasets using the `load_dataset()` function.

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2. using seaborn:
seaborn is a visualization library that also provides some built-in datasets for practicing data visualization. you can load these datasets using the `load_dataset()` function.

### example:

3. using pandas:
pandas is a powerful data manipulation library in python that also provides some sample datasets. you can load these datasets using the `read_csv()` or `read_excel()` functions.

### example:

by following these examples, you can easily load sample datasets in python for various data analysis and machine learning tasks. feel free to explore more datasets and libraries to practice and enhance your python skills.

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