Skip to main content

The datapod package provides a collection of datasets used in the book Data Science Foundations and Machine Learning with Python.

Project description

Package dsf

Package ‘dsf’

Title ``Data Science Foudations’’

Description

The dsf package provides a collection of datasets used in the book Data Science Foundations and Machine Learning with Python.

URL https://github.com/vanraak/dsf

Depends Python (>= 3.8) and Pandas (>2.0)

License GPL (>= 2)

Repository Pypi

Authors Jeroen van Raak and Reza Mohammadi

Maintainer Jeroen van Raak, j.j.f.vanraak@uva.nl

NeedsCompilation no

Installation

pip install dsf

Usage

import dsf
df=dsf.load('<dataset>')

Replace with the name of the dataset, such as ‘bank’, ‘house’, or ‘churn’.

Example

df=dsf.load('bank') # Load the bank dataset.

Datasets

The following datasets are included:

  • adult
  • advertising
  • bank
  • caravan
  • cereal
  • churn
  • churn_ibm
  • churn_tel
  • corona
  • diamonds
  • drug
  • gapminder
  • house
  • house_price
  • insurance
  • marketing
  • mpg
  • red_wines
  • risk
  • white_wines

Documentation

The full documentation is available at: https://github.com/vanraak/dsf/blob/main/README.pdf

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

datapod-0.0.35.post0-py3-none-any.whl (5.4 kB view details)

Uploaded Python 3

File details

Details for the file datapod-0.0.35.post0-py3-none-any.whl.

File metadata

  • Download URL: datapod-0.0.35.post0-py3-none-any.whl
  • Upload date:
  • Size: 5.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.2

File hashes

Hashes for datapod-0.0.35.post0-py3-none-any.whl
Algorithm Hash digest
SHA256 d500792f2fffb5cbc399fd01ae6dd6c038106c82d901f41a2fe499f2f0fb3507
MD5 923a7003960c6a172ab30680d1c3744e
BLAKE2b-256 0ffd0f138eda45410467f24b7c322e252fef754be4c2e68568080dc8ff9336ea

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page