Simplifying Machine Learning with PyCaret in Python

Gain insights into simplifying machine learning with PyCaret. Delve into regression, classification, clustering, and anomaly detection, and learn to deploy applications using Streamlit.

Beginner

48 Lessons

2h 15min

Certificate of Completion

Gain insights into simplifying machine learning with PyCaret. Delve into regression, classification, clustering, and anomaly detection, and learn to deploy applications using Streamlit.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

84 Playgrounds

6 Quizzes

This course includes

84 Playgrounds

6 Quizzes

Course Overview

PyCaret is an low-code, open-source, machine learning library for Python. It can be used in machine learning tasks such as data preparation and model deployment. In this course, you will learn multiple topics related to machine learning. You will start with a brief introduction to the basic concepts of machine learning, and then continue with case studies of regression, classification, clustering, and anomaly detection based on the respective modules of the PyCaret library. Finally, we will focus on using ...Show More

What You'll Learn

Knowledge of PyCaret

Expertise in Streamlit and app deployment on Streamlit Cloud

Regression with PyCaret and familiarity with exploratory data analysis, environment setup and building machine learning models

Classification with PyCaret and creating, tuning, plotting and saving machine learning models

Clustering tasks with PyCaret

Anomaly Detection with PyCaret

What You'll Learn

Knowledge of PyCaret

Course Content

Introduction to Machine Learning

Get familiar with PyCaret, machine learning types, and applications in this beginner course.

Getting Started

Machine Learning and its Types

Regression

Get started with regression techniques, EDA, PyCaret setup, model building, and practical coding challenges.

Regression with PyCaret

Exploratory Data Analysis

Getting Familiar with the PyCaret Environment

Building the Model

Coding Challenge: Train Random Forest Model

Solution Review: Train Random Forest Model

Quiz: Regression

Classification

Go hands-on with understanding and implementing classification using PyCaret in Python.

Classification with PyCaret

Exploratory Data Analysis

Getting Familiar with the PyCaret Environment

Building the Model

Coding Challenge: Make Predictions and Plot Model

Solution Review: Make Predictions and Plot Model

Quiz: Classification

Clustering

Build a foundation in clustering techniques using PyCaret, from setup to model evaluation.

Clustering with PyCaret

Exploratory Data Analysis

Getting Familiar with the PyCaret Environment

Building the Model

Coding Challenge: Create k-Means Model

Solution Review: Create k-means Model

Quiz: Clustering

Anomaly Detection

Map out the steps for building and evaluating anomaly detection models using PyCaret.

Anomaly Detection with PyCaret

Exploratory Data Analysis

Getting Familiar with the PyCaret Environment

Building the Model

Coding Challenge: Create Local Outlier Factor Model

Solution Review: Create Local Outlier Factor Model

Quiz: Anomaly Detection

Natural Language Processing

9 Lessons

See how it works to conduct NLP analysis, topic modeling, and classification with PyCaret.

Deploying a Machine Learning Model

7 Lessons

Master the steps to deploy machine learning models using Streamlit, build web apps, and visualize data.

Conclusion

1 Lesson

Sharpen your skills in machine learning basics and explore further with PyCaret and Streamlit.

Appendix

1 Lesson

Get started with installing PyCaret and its dependencies for efficient machine learning.

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

Instant Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

AI-Powered Mock Interviews

Put your skills to the test in a simulated interview setting. Receive personalized feedback based on your performance. Available in Premium & Premium Plus plans.

Adaptive Learning

At various checkpoints throughout Educative courses, you will be prompted to take a quick assessment. Receive a condensed curriculum tailored to your strengths and skill gaps.

Explain with AI

Select any text within any Educative course, and get an instant explanation — without ever leaving your browser.

AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!

FOR TEAMS

Interested in this course for your business or team?

Unlock this course (and 1,000+ more) for your entire org with DevPath