- Machine Learning
- Decision Tree Learning
- Supervised Learning
- Statistical Machine Learning
- Feature Engineering
- Unsupervised Learning
- Model Evaluation
- Advanced Analytics
- Python Programming
- Random Forest Algorithm
- Data Ethics
- Classification Algorithms
The Nuts and Bolts of Machine Learning
Completed by Isabelle Rodrigues
February 28, 2024
33 hours (approximately)
Isabelle Rodrigues'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
