Custom Machine Learning Package built from scratch
Project description
My ML Package
A custom Machine Learning package built from scratch using Python and NumPy.
Features
- Linear Regression
- KNN Classifier
- PCA
- Neural Network
- Standard Scaler
- Metrics
- Train Test Split
- Pipeline System
- PCA Visualization
Project Structure
my_ml_package/ │ ├── base/ ├── preprocessing/ ├── linear_models/ ├── decomposition/ ├── neighbors/ ├── neural_network/ ├── metrics/ ├── model_selection/ ├── pipeline/ ├── visualization/ ├── utils/ └── tests/
Installation
pip install -e .
Requirements
- numpy
- matplotlib
Install using:
pip install -r requirements.txt
Example Usage
Linear Regression
import numpy as np
from my_ml_package.linear_models.linear_regression import LinearRegression
X = np.array([[1], [2], [3], [4]])
y = np.array([2, 4, 6, 8])
model = LinearRegression()
model.fit(X, y)
predictions = model.predict(X)
print(predictions)
PCA Example
from my_ml_package.decomposition.pca import PCA
Neural Network Example
from my_ml_package.neural_network.neural_network import NeuralNetwork
Author
Bhagyashree Patil
Project details
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