- 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 Sergey Gavrilin
January 11, 2024
34 hours (approximately)
Sergey Gavrilin'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
