- Statistical Machine Learning
- Advanced Analytics
- Classification Algorithms
- Decision Tree Learning
- Supervised Learning
- Random Forest Algorithm
- Performance Tuning
- Model Evaluation
- Data Ethics
- Feature Engineering
- Unsupervised Learning
- Python Programming
The Nuts and Bolts of Machine Learning
Completed by Steffin Thomas
October 23, 2025
33 hours (approximately)
Steffin Thomas'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
