> For the complete documentation index, see [llms.txt](https://tusharkolekar24.gitbook.io/package-kolekar-1/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://tusharkolekar24.gitbook.io/package-kolekar-1/welcome-to-package-kolekar.md).

# Welcome to package-Kolekar

It provides Regression and Ensemble Learning-based Models to evaluate the performance of the complete ML model life cycle.

### Installation

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

```python
pip install package-Kolekar
```

### Main Features

Gradient Descent

* Linear Regression
* Lasso Regression
* Ridge Regression
* ElasticNet Regression

Ensemble Learning

* Avg\_Ensemble

### Documentation

The documentation for the latest release is available at

* <https://github.com/tusharkolekar24/package_Kolekar>
* <https://github.com/tusharkolekar24/Ensemble_Learning>

### API Link

This package is available at the following links.

* <https://pypi.org/project/package-Kolekar/>
* <https://pypi.org/project/tkmt-package/>