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https://github.com/tirendazacademy/machine-learning-with-pycaret

Machine learning with Python PyCaret
https://github.com/tirendazacademy/machine-learning-with-pycaret

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Machine learning with Python PyCaret

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![](https://github.com/TirendazAcademy/Machine-Learning-with-PyCaret/blob/main/Images/logo-tirendaz.png)

[![](https://img.shields.io/badge/Python-darkblue?&style=plastic&logo=python&logoColor=white)]()
[![](https://img.shields.io/badge/Pycaret-darkred?style=plastic&logo=pycaret&logoColor=white)]()
[![](https://img.shields.io/badge/DataScience-darkgreen?&style=plastic&logo=datascience&logoColor=white)]()
[![](https://img.shields.io/badge/MachineLearning-darkorange?&style=plastic&logo=machinelearning&logoColor=white)]()

[*PyCaret*](https://pycaret.org/) is an open-source, low-code machine learning library in Python that automates machine learning workflows. PyCaret empowers anyone to build low-code, powerful, end-to-end machine learning solutions.

PyCaret is a low-code library that can be used to replace hundreds of lines of code with just a few lines. This allows you to perform machine learning projects quickly and efficiently. It is basically a Python wrapper surrounding various machine learning libraries and frameworks like scikit-learn, XGBoost, LightGBM, CatBoost, spaCy, Optuna, Hyperopt, Ray, and a few more. You can install PyCaret with Python's pip package manager: `pip install pycaret`

This repository contains PyCaret tutorials with the notebooks and datasets. If you enjoy this repo, don't forget to give me a ✨. Thanks for reading 😀

## YouTube Tutorials [![](https://img.shields.io/badge/YouTube-FF0000?style=plastic&logo=youtube&logoColor=white)](https://www.youtube.com/playlist?list=PLbQRubTta6fcWFyjKtDyDPTwxC6t1HMEn)

- [Machine Learning with PyCaret](https://youtu.be/LEJlW6STeB0)
- [Classification with PyCaret](https://youtu.be/rIf4TNtMTtk)
- [Regression with PyCaret](https://youtu.be/nvZ08g7tHhE)
- [Clustering with PyCaret](https://youtu.be/wOzeFurDfQ0)

📌 Happy learning 😀

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