- Supervised Learning
- Classification Algorithms
- Python Programming
- Data Preprocessing
- Analytics
- Unsupervised Learning
- Decision Tree Learning
- Model Evaluation
- Performance Tuning
- Applied Machine Learning
- Random Forest Algorithm
- Feature Engineering
The Nuts and Bolts of Machine Learning
Completed by Leyla Novruzova
April 25, 2025
34 hours (approximately)
Leyla Novruzova'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
