Skip to main content

A collection of data science utility functions for EDA, preprocessing, evaluation, and tuning.

Project description

The author of this package has not provided a project description

Project details


Download files

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

Source Distribution

data_science_hack_functions-0.2.0.tar.gz (1.8 kB view details)

Uploaded Source

Built Distribution

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

data_science_hack_functions-0.2.0-py3-none-any.whl (1.8 kB view details)

Uploaded Python 3

File details

Details for the file data_science_hack_functions-0.2.0.tar.gz.

File metadata

File hashes

Hashes for data_science_hack_functions-0.2.0.tar.gz
Algorithm Hash digest
SHA256 03da2142f1e172d7b7cd971c4edf0eb9aee2b9df9e90aec45503095ad94143ef
MD5 e1bd40c9561b4e62f24be0dcc7fd29e5
BLAKE2b-256 0d79faa32858584a583dfb81cf38c45070b749fe9f7a8f052fb92c3e41f6b1ef

See more details on using hashes here.

File details

Details for the file data_science_hack_functions-0.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for data_science_hack_functions-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 18c2c07e6feb0fa05b4b88284dd8ad6911b442d15201bdb38286decd1cceeb85
MD5 75f72005b09ecd67c3f6f8904db81c0b
BLAKE2b-256 c2c3ae1781be724fbd40d432eac7b174c1e50239949e986112e8470a60f9f1c2

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