ML tool for data visualization and outlier detection
Project description
ml1-10
This package visualizes numeric features from the California Housing dataset using histograms and boxplots, and detects outliers using the IQR method.
ml1-10 This Python package provides 10 utility functions (p1 to p10) for EDA and machine learning workflows.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ml1_10-0.1.0.tar.gz
(5.7 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
ml1_10-0.1.0-py3-none-any.whl
(13.1 kB
view details)
File details
Details for the file ml1_10-0.1.0.tar.gz.
File metadata
- Download URL: ml1_10-0.1.0.tar.gz
- Upload date:
- Size: 5.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b30a1d9982531ebffffd8eb1e6555061ed8bbcbcf9e152a1cf665a61ca239b78
|
|
| MD5 |
fa7334bf1ea706d83bcf13c65d34d7b9
|
|
| BLAKE2b-256 |
573be0ebc4eb4e432c9ba0cae297c34d0fdda44d6910c1bea2712fb26d3ad3df
|
File details
Details for the file ml1_10-0.1.0-py3-none-any.whl.
File metadata
- Download URL: ml1_10-0.1.0-py3-none-any.whl
- Upload date:
- Size: 13.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
af07e617a80fd412b8a2aaff23b324e98fa3278b6dd0cdea842dd205a09e9380
|
|
| MD5 |
e5f7399edf56a908d529979e29494cfc
|
|
| BLAKE2b-256 |
da8aeb6fddac19eb6735453d88619f6e4f04a70b087429f6b8e3ce90cb22c36c
|
