semvec/pypi-packages huggingface dataset:
mymlpackage 1.0.2
A collection of minimal and clean implementations of machine learning algorithms.
License: MIT

This is my custom ML package based on the
[scikit-learn](https://scikit-learn.org/stable/) library. It contains the
following modules:

- PCA library
- SVD library
- K-means library
- K-medoids library
- t-SNE library

# My ML package (mymlpackage):

This is a simple package that contains some useful functions for machine
learning, to practice an experiment in the ML course from the University of
Antioquia.

for mor information about the package, please visit the
[documentation](https://pypi.org/project/mymlpackage/#files)

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install this
package.

```bash
pip install mymlpackage
```

## Usage example

```python
import mymlpackage as mp

mp.KMeans(X, k, max_iter, tol)
mp.KMedoids(X, k, max_iter, tol)
mp.svd(X)
```

## License

[MIT](https://choosealicense.com/licenses/mit/)

```CMD
Copyright (c) 2023 The Python Packaging Authority

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
```

## Authors

Name: Lina María Beltrán Durango

E-mail: linam.beltran@udea.edu.co
ft-package-chanwoong1 0.0.1
A sample test package
License: MIT

# FT Package

## Overview

ft_package is a simple Python package that calculates the occurrence count of a specific item in a list.

## Installation

To install the package, you can build it locally and then use pip:

`pip install ft_package_chanwoong1`

## Usage

Here's how to use the package:

`from ft_package import count_in_list`

# Calculate the occurrence of 'toto' in the list

```
print(count_in_list(["toto", "tata", "toto"], "toto")) # Output: 2
```

# Calculate the occurrence of 'tutu' in the list (returns 0 since it doesn't exist)

```
print(count_in_list(["toto", "tata", "toto"], "tutu")) # Output: 0
```

## License

This package is distributed under the MIT license. For more details, please refer to the LICENSE file.

## Contact

- Author: chanwjeo
- Email: chanwjeo@student.42seoul.kr
- GitHub: https://github.com/chanwoong1