rocket
Description
This project implements a simple Linear Regression model in Python. It calculates the slope and intercept from training data and uses them to make predictions.
Features
- Train a linear regression model.
- Calculate the slope and intercept.
- Predict values using the trained model.
- Validate the input data.
Installation
Install the package locally using pip:
pip install .
Usage
from linear_regression import LinearRegression
# Create training data
x = [1, 2, 3, 4, 5]
y = [2, 4, 5, 4, 5]
# Create and train the model
model = LinearRegression()
model.fit(x, y)
# Make predictions
predictions = model.predict([6, 7])
print("Slope:", model.slope)
print("Intercept:", model.intercept)
print("Predictions:", predictions)
Requirements
- Python 3
1 maintainer
Metadata
1 maintainer
Release files for sara-linear-regression-practice-2026 0.1.0
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Release files / sara_linear_regression_practice_2026-0.1.0.tar.gz
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| Tags | Python 3 |
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