Metadata-Version: 2.4
Name: makine_ogrenimi_kutuphane
Version: 0.1.5
Summary: Optimized Machine Learning Library for Embedded Systems
Author: Halil Hüseyin Çalışkan
Author-email: caliskanhalil815@gmail.com
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: numpy==1.26.4
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: license
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# embeddedML

**embeddedML** is an optimized and lightweight machine learning library designed specifically for embedded systems (such as Raspberry Pi, Jetson Nano, Orange Pi, etc.).  
This library implements core ML algorithms with minimal dependencies, making it suitable for resource-constrained environments.

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## 🚀 Features

- ✔️ Support for classic machine learning algorithms:
  - SVM (Support Vector Machines)
  - KNN (K-Nearest Neighbors)
  - Naive Bayes
  - Logistic Regression
  - Simple & Multiple Linear Regression
  - Polynomial Regression
  - K-Means Clustering
  - PCA
- 📊 Evaluation Metrics included (Accuracy, Precision, Recall, etc.)
- 🧹 Preprocessing utilities
- 🪶 Lightweight and fast

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## 📦 Installation

Install the package via `pip`:

```bash
pip install embeddedML
