- Supervised Learning
- Data Preprocessing
- Verification And Validation
- Applied Machine Learning
- Feature Engineering
- Data Ethics
- Machine Learning
- Classification Algorithms
- Random Forest Algorithm
- Advanced Analytics
- Model Evaluation
- Python Programming
The Nuts and Bolts of Machine Learning
Completed by Isabelle Rodrigues
February 28, 2024
34 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
