- Feature Engineering
- Random Forest Algorithm
- Decision Tree Learning
- Workflow Management
- Python Programming
- Supervised Learning
- Unsupervised Learning
- Advanced Analytics
- Data Validation
- Data Ethics
- Classification And Regression Tree (CART)
- Applied Machine Learning
The Nuts and Bolts of Machine Learning
Completed by Edric Ho
April 4, 2024
34 hours (approximately)
Edric Ho'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
