- Machine Learning
- Machine Learning Algorithms
- Python Programming
- Data Preprocessing
- Verification And Validation
- Analytics
- Performance Tuning
- Data Ethics
- Random Forest Algorithm
- Model Evaluation
- Workflow Management
- Unsupervised Learning
The Nuts and Bolts of Machine Learning
Completed by Geraldo Kranenburg
February 21, 2025
34 hours (approximately)
Geraldo Kranenburg'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
