- Machine Learning
- Applied Machine Learning
- Decision Tree Learning
- Performance Tuning
- Data Ethics
- Workflow Management
- Python Programming
- Unsupervised Learning
- Classification And Regression Tree (CART)
- Supervised Learning
- Random Forest Algorithm
- Advanced Analytics
The Nuts and Bolts of Machine Learning
Completed by Yahya Habib
February 8, 2024
34 hours (approximately)
Yahya Habib'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
