- Supervised Learning
- Advanced Analytics
- Machine Learning
- Classification Algorithms
- Decision Tree Learning
- Feature Engineering
- Data Ethics
- Random Forest Algorithm
- Statistical Machine Learning
- Performance Tuning
- Model Evaluation
- Python Programming
The Nuts and Bolts of Machine Learning
Completed by I.G.Isuru Chathuranga
November 28, 2025
33 hours (approximately)
I.G.Isuru Chathuranga '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
