- Data Ethics
- Machine Learning
- Advanced Analytics
- Python Programming
- Random Forest Algorithm
- Performance Tuning
- Unsupervised Learning
- Classification And Regression Tree (CART)
- Workflow Management
- Supervised Learning
- Applied Machine Learning
- Feature Engineering
The Nuts and Bolts of Machine Learning
Completed by Roland W Hoerr
February 9, 2024
34 hours (approximately)
Roland W Hoerr'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
