- Random Forest Algorithm
- Advanced Analytics
- Decision Tree Learning
- Feature Engineering
- Data Ethics
- Workflow Management
- Applied Machine Learning
- Classification And Regression Tree (CART)
- Unsupervised Learning
- Performance Tuning
- Machine Learning
- Data Validation
The Nuts and Bolts of Machine Learning
Completed by Hon Leung Siu
February 29, 2024
34 hours (approximately)
Hon Leung Siu's account is verified. Coursera certifies their successful completion of The Nuts and Bolts of Machine Learning
What you will learn
Identify characteristics of the different types of machine learning
Prepare data for machine learning models
Build and evaluate supervised and unsupervised learning models using Python
Demonstrate proper model and metric selection for a machine learning algorithm
Skills you will gain
