Pycaret Courses and Certifications

Toronto Machine Learning Series (TMLS)

Machine Learning with PyCaret - Workshop

Explore rapid prototyping and ML pipeline development using PyCaret, an open-source, low-code machine learning library for Python.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

MLOps World: Machine Learning in Production

MLOps with PyCaret - Practical Demo for Data Science Workflows

Supercharge your data science team's productivity with PyCaret, an open-source ML library for efficient model preparation and deployment in Python.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

PyCaret Tutorial

Automate data science projects and anomaly detection using PyCaret, an open-source library that streamlines machine learning workflows.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Databricks

Time Series Forecasting with PyCaret

Explore automated time series forecasting with PyCaret's low-code module. Learn setup, EDA, training, and forecasting techniques to streamline your predictive modeling workflow.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Nicholas Renotte

Build a ML Classification Model in 12 Lines with PyCaret

Learn to rapidly build and evaluate a heart disease prediction model using PyCaret, a low-code ML library. Covers data loading, model training, testing, and saving in just 12 lines of code.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Nicholas Renotte

Building an AutoML Web App with Python, Pandas Profiling, PyCaret, and Streamlit

Build an AutoML web app using Python, Pandas Profiling, PyCaret, and Streamlit in this hands-on tutorial. Learn to create a powerful machine learning tool quickly and efficiently.

• YouTube
• 24 minutes
• On-Demand
• Free Video

GOTO Conferences

Machine Learning Made Easy With PyCaret

Discover how PyCaret simplifies machine learning workflows, automates processes, and boosts productivity. Learn to integrate this low-code library for faster, more efficient ML experiments.

• YouTube
• 44 minutes
• On-Demand
• Conference Talk

PyCaret: Anatomy of Regression

11 ratings at Coursera

Explore PyCaret for efficient regression modeling: compare models, tune parameters, create visuals, and interpret results using SHAP, all with minimal code.

• Coursera
• 2 hours 15 minutes
• On-Demand
• Paid Course

Topic Modeling using PyCaret

Learn to create end-to-end topic models using PyCaret, automating preprocessing, building, evaluating, and deploying. Ideal for data scientists seeking efficiency in POCs and experiments with low-code solutions.

• Coursera
• 1 hour 32 minutes
• Finished
• Paid Course

Build an Anomaly Detection Model using PyCaret

"Coursera Project Network offers a course on building anomaly detection models using PyCaret, a low-code machine learning library."

• Coursera
• 1-2 hours
• Finished
• Paid Course

Build a Regression Model using PyCaret

Learn to create a regression model using PyCaret in this 1-hour project-based course by Coursera Project Network. Ideal for data scientists seeking to enhance efficiency in building POCs and experiments.

• Coursera
• 1 hour 40 minutes
• Finished
• Paid Course

Build a Clustering Model using PyCaret

Learn to build, evaluate, and interpret clustering models using PyCaret, a low-code Python library. Segment wholesale customers based on purchase history in this hands-on project.

• Coursera
• 1 hour 55 minutes
• Finished
• Paid Course

Build a Classification Model using PyCaret

Learn to build an end-to-end classification model using PyCaret in this 1-hour project-based course by Coursera. Ideal for seasoned data scientists and professionals working with data.

• Coursera
• 1 hour 55 minutes
• Finished
• Paid Course

Natural Language Processing with PyCaret

In this project you will learn how to set up PyCaret for your natural language processing tasks, compare and create models effectively, visualize your models and corpus. All this with just a few lines of code.

• Coursera
• 1-2 hours
• Finished
• Paid Course

PyCaret: Anatomy of Classification

12 ratings at Coursera

Learn to set up PyCaret environment, create and compare models, tune models, and create visuals in this 2-hour project-based course on Coursera.

• Coursera
• 2 hours 10 minutes
• Finished
• Paid Course