ScratchML
A python package with implementations of Machine Learning algorithms from scratch.
Contents
Algorithms Implemented:
Regression:
- Simple Linear Regression (
scratchml.regression.SimpleLinearRegression) - Multiple Linear Regression (
scratchml.regression.MultipleLinearRegression)
Classification:
- Logistic Regression (
scratchml.classification.LogisticRegression) - Support Vector Machine (
scratchml.classification.SVM) - K-Nearest Neighbors (
scratchml.classification.KNN)
Clustering:
- KMeans Clustering (
scratchml.clustering.KMeans) - KMedoids Clustering (
scratchml.clustering.KMedoids)
Neural Networks:
- Perceptron (
scratchml.nn.Perceptron)
Installing:
The project is available as a package on PyPI - ScratchML
To install it using pip:
pip install scratchml
Metadata
Release files for scratchml 0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| scratchml-0.4.tar.gz | 9.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scratchml-0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.2 kB
Release files / scratchml-0.4.tar.gz
| Download URL | scratchml-0.4.tar.gz |
|---|---|
| Size | 9.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / scratchml-0.4-py3-none-any.whl
| Download URL | scratchml-0.4-py3-none-any.whl |
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| Size | 17.1 kB |
| Tags | Python 3 |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.2
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