Simplifying Machine Learning with PyCaret in Python
Beginner
48 Lessons
2h 15min
Certificate of Completion
Takeaway Skills
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
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...Show More
Course Contents
Introduction to Machine Learning
2 Lessons
Regression
7 Lessons
Classification
7 Lessons
Clustering
7 Lessons
Anomaly Detection
7 Lessons
Natural Language Processing
9 Lessons
Deploying a Machine Learning Model
7 Lessons
Conclusion
1 Lesson
Appendix
1 Lesson
How You'll Learn
You don’t get better at swimming by watching others. Coding is no different. Practice as you learn with live code environments inside your browser.
Videos are holding you back. The average video tutorial is spoken at 150 words per minute, while you can read at 250. That‘s why our courses are text-based.
Start learning immediately instead of fiddling with SDKs and IDEs. It‘s all on the cloud.
Built-in assessments let you test your skills. Completion certificates let you show them off.