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 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 ...
Course Content
Introduction to Machine Learning
Regression
Classification
Clustering
Anomaly Detection
Natural Language Processing
9 Lessons
Deploying a Machine Learning Model
7 Lessons
Conclusion
1 Lesson
Appendix
1 Lesson
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