BasicML
BasicML is a Python package containing implementations of basic machine learning algorithms. Below is a list of all the ML models that come with this package:
Regression:
- LinearRegression
Classification:
- DecisionTree
- KNearestNeighbors
- LogisticRegression
- NeuralNetwork
Clustering
- KMeans
Installation:
Install using pip:
pip install basic-ml
Usage
import numpy as np
from ml import LinearRegression
# Replace with your own data
trn_X, trn_y, tst_X, tst_y = np.ones(1), np.ones(1), np.ones(1), np.ones(1)
lr = LinearRegression()
lr.fit(trn_X, trn_y)
predictions = lr.predict(tst_X)
print('Predicted: {}\nActual: {}'.format(predictions, tst_y))
To see example code, open/run any of the 6 main Python files in the ml folder.
Contact
Reach out to me at alan.bi326@gmail.com for questions and feedback!
1 maintainer
Metadata
1 maintainer
Release files for basic-ml 1.0.0
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