datadepot

This library provides a simple interface for loading datasets used in the book Data Science Foundations and Machine Learning with Python.

Installation

Install datadepot with pip:

pip install datadepot

or with conda:

conda install conda-forge::datadepot

Usage

Import datadepot and load a dataset:

import datadepot

df = datadepot.load("<dataset>")

Replace <dataset> with the name of the dataset you want to load. For example:

df = datadepot.load("bank_marketing")

The return format depends on the dataset. Some datasets return a single DataFrame, while others return train/test splits or other structured data.

Dataset Information

View metadata for any dataset:

datadepot.info("<dataset>")

Example:

datadepot.info("diamonds")

This displays the dataset metadata:

• Description
• Source
• URL
• Creators
• License
• License URL

Available Datasets

The following datasets can be loaded:

• adult
• auto_mpg
• bank_marketing
• bike_sharing
• churn
• cpu
• credit_card_fraud
• credit_default
• diamonds
• fashion_mnist
• hotel_booking
• imdb
• laptop
• loan_approval
• mnist
• nyc_taxi
• online_shoppers
• real_estate
• wine_quality

More information about each dataset is available at https://datasciencebook.ai/datadepot, including its description, source, creators, and license.

License

datadepot is distributed under the MIT License. Individual datasets may be subject to different licenses; see each dataset's metadata for details.