- Python Programming
- Model Evaluation
- Data Preprocessing
- Feature Engineering
- Performance Tuning
- Verification And Validation
- Decision Tree Learning
- Machine Learning Algorithms
- Analytics
- Data Ethics
- Machine Learning
- Random Forest Algorithm
The Nuts and Bolts of Machine Learning
Completed by Brendan Domike
August 15, 2024
34 hours (approximately)
Brendan Domike'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
