Metadata-Version: 2.1
Name: mklearn
Version: 0.0.4
Summary: mlkit-learn: lightweight machine learning algorithms for learning.
Home-page: https://github.com/ryanxjhan/mlkit-learn
Author: Ryan Han
Author-email: ryan.han@uwaterloo.ca
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown

mlkit-learn
===========
![license](https://img.shields.io/github/license/ryanxjhan/mlkit-learn.svg)
![pyv](https://img.shields.io/pypi/pyversions/mklearn.svg)
![pypiv](https://img.shields.io/pypi/v/mklearn.svg?color=green)
![format](https://img.shields.io/pypi/format/mklearn.svg)

mlkit-learn is a lightweight machine learning library designed to be **interactive**, **portable**, and **educational**. It implements all of the classic machine learning algorithms from regression to gradient boosting trees. **With only two lines of code, users can witness popular Kaggle datasets being preprocessed and predicted in action**.

Contents
===========
[K-Nearest Neighbor](#k-nearest-neightbor)


Install
===========
`pip install mklearn`

## K-Nearest Neighbor

## Linear Regression
## Logistic Regression
## Decision Tree
## (to be continued)






