this is a basic machine learning fuctions library
this libary help for ml beginners
first of all install our library
""" next
import libary
example : from All_In_1.app import all_in_1
next access the library
example : a=all_in_1(data,'Chance of Admit ',remove_null=True, visualize=True,standard=True,stats=True,future_sel=True,outlayer_removel=True,multicol=True)
"""
1 maintainer
Release files for All-In-1-sathishbilli 0.0.3
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| All_In_1-sathishbilli-0.0.3.tar.gz | 5.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| All_In_1_sathishbilli-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.2 kB
Release files / All_In_1-sathishbilli-0.0.3.tar.gz
| Download URL | All_In_1-sathishbilli-0.0.3.tar.gz |
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| Size | 5.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / All_In_1_sathishbilli-0.0.3-py3-none-any.whl
| Download URL | All_In_1_sathishbilli-0.0.3-py3-none-any.whl |
|---|---|
| Size | 5.3 kB |
| Tags | Python 3 |
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No |
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twine/4.0.0 CPython/3.9.12
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