Machine Learning - just do it !
mellow is a python package that contains some well known machine learning algorithms.
Exclusive to first time learner.
It provides:
- most popular machine learning algorithms
- sophisticated utility functions useful in these algorithms
- and much more
Often Developers/Students feel hesitation to implement the machine learning algorithms because either they find it hefty or time consuming, what I believe is understanding the machine learning algorithms and the mathematics behind these algorithms is much more important than converting it into code. So I came up with this beautiful library mellow to help you (and myself tbh) out.
Installation using pip
- pip install mellow
1 maintainer
Metadata
1 maintainer
Release files for mellow 0.0.0.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mellow-0.0.0.9.tar.gz | 4.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mellow-0.0.0.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.5 kB
Release files / mellow-0.0.0.9.tar.gz
| Download URL | mellow-0.0.0.9.tar.gz |
|---|---|
| Size | 4.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.6.8
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Release files / mellow-0.0.0.9-py3-none-any.whl
| Download URL | mellow-0.0.0.9-py3-none-any.whl |
|---|---|
| Size | 7.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.6.8
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