basic-ml 1.0.0

A lightweight package for basic machine learning needs

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 [e-mail] for questions and feedback!