- Decision Tree Learning
- Feature Engineering
- Applied Machine Learning
- Machine Learning Algorithms
- Verification And Validation
- Machine Learning
- Analytics
- Unsupervised Learning
- Data Preprocessing
- Python Programming
- Supervised Learning
- Scikit Learn (Machine Learning Library)
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
