semvec/pypi-packages huggingface dataset:
ghtrending 0.2.2
Github Trending Explorer
License: MIT

# GHTRENDING

![pypi](https://img.shields.io/pypi/v/ghtrending.svg)

## Overview

**GHTRENDING** is a commandline tool for explore GitHub trending, includes developers and repository.

<p align="center">
  <img width="600" src="https://github.com/chinsyo/ghtrending/blob/master/screenshot.svg">
</p>

## INSTALLATION
```shell
// package (recommend)
pip3 install ghtrending

// source
git clone https://github.com/chinsyo/ghtrending.git && cd ghtrending
```

## USAGE
```shell
// package (recommend)
python3 -m ghtrending

// source
python3 ghtrending/ghtrending.py
```
zoo-animal-classification 1.0.0
classification of zoo animals using machine learning models
License: MIT
Keywords: decision tree,classification,multiclass,zoo,animals

# DATS6450-final-project
This package contains different machine learning models for prediction of zoo animals based on a given set of features. 

Machine Learning Models Used: 
* Decision Tree 
* Random Forest
* Support Vector Machine

## Installation
You can install `animal_classification` following the below steps: 

`# git clone https://github.com/yijiaceline/CSF-project.git`

`# cd CSF-project`

`# python3 setup.py install`

## Usage
Refer to example.py

## Example Output 
`Fitting and predicting using Decision Tree Model:`  
`Accuracy:0.9523809523809523`  
`Fitting and predicting using Random Forest Model:`  
`Accuracy: 1.0`  
`Fitting and predicting using Support Vector Machine:`  
`Accuracy: 1.0`  
`Fitting and predicting using KNN:`  
`Accuracy: 0.9047619047619048`  

## License
The MIT License. Refer to LICENSE.