- Decision Tree Learning
- Scikit Learn (Machine Learning Library)
- Data Preprocessing
- Statistical Machine Learning
- Data Ethics
- Feature Engineering
- Python Programming
- Machine Learning Algorithms
- Advanced Analytics
- Random Forest Algorithm
- Analytics
- Machine Learning
The Nuts and Bolts of Machine Learning
Completed by Cameran Frank
April 23, 2025
34 hours (approximately)
Cameran Frank'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
