What is PyCaret python library and How to install it

In this recipe, we shall learn what is Pycaret library in python. We shall also take a look at the steps for installing the library in our system.

Recipe Objective - What is the PyCaret python library and How to install it?

PyCaret is an open-source, less-code machine learning python library. PyCaret automates machine learning workflow.

PyCaret library is wrapped around some machine learning libraries such as sklearn, XGBoost, LightGBM, CatBoost, spaCy, Optuna, Hyperopt, Ray, and many more.

It is an end-to-end machine learning and model management tool that speeds up the experiment cycle exponentially and makes you more productive.  PyCaret is a low-code library that can be used to replace hundreds of lines of code with few lines only. This makes experiments fast and efficient.

PyTorch vs Tensorflow - Which One Should You Choose For Your Next Deep Learning Project ?

Links for the more related projects:-

https://www.projectpro.io/projects/data-science-projects/deep-learning-projects
https://www.projectpro.io/projects/data-science-projects/neural-network-projects

Steps of Installation:-

1. Open the terminal command.

2. Run "pip install pycaret".

What Users are saying..

profile image

Ed Godalle

Director Data Analytics at EY / EY Tech
linkedin profile url

I am the Director of Data Analytics with over 10+ years of IT experience. I have a background in SQL, Python, and Big Data working with Accenture, IBM, and Infosys. I am looking to enhance my skills... Read More

Relevant Projects

AWS MLOps Project for Gaussian Process Time Series Modeling
MLOps Project to Build and Deploy a Gaussian Process Time Series Model in Python on AWS

CycleGAN Implementation for Image-To-Image Translation
In this GAN Deep Learning Project, you will learn how to build an image to image translation model in PyTorch with Cycle GAN.

Time Series Project to Build a Multiple Linear Regression Model
Learn to build a Multiple linear regression model in Python on Time Series Data

PyTorch Project to Build a LSTM Text Classification Model
In this PyTorch Project you will learn how to build an LSTM Text Classification model for Classifying the Reviews of an App .

Build a Text Classification Model with Attention Mechanism NLP
In this NLP Project, you will learn to build a multi class text classification model with attention mechanism.

Stock Price Prediction Project using LSTM and RNN
Learn how to predict stock prices using RNN and LSTM models. Understand deep learning concepts and apply them to real-world financial data for accurate forecasting.

Loan Eligibility Prediction in Python using H2O.ai
In this loan prediction project you will build predictive models in Python using H2O.ai to predict if an applicant is able to repay the loan or not.

Time Series Analysis with Facebook Prophet Python and Cesium
Time Series Analysis Project - Use the Facebook Prophet and Cesium Open Source Library for Time Series Forecasting in Python

MLOps using Azure Devops to Deploy a Classification Model
In this MLOps Azure project, you will learn how to deploy a classification machine learning model to predict the customer's license status on Azure through scalable CI/CD ML pipelines.

Create Your First Chatbot with RASA NLU Model and Python
Learn the basic aspects of chatbot development and open source conversational AI RASA to create a simple AI powered chatbot on your own.