- Advanced Analytics
- Data Ethics
- Data Validation
- Performance Tuning
- Supervised Learning
- Classification And Regression Tree (CART)
- Machine Learning
- Decision Tree Learning
- Unsupervised Learning
- Feature Engineering
- Random Forest Algorithm
- Workflow Management
The Nuts and Bolts of Machine Learning
Completed by Abalotou Franck AMANA
September 25, 2025
34 hours (approximately)
Abalotou Franck AMANA'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
