- Unsupervised Learning
- Model Evaluation
- Workflow Management
- Analytics
- Data Preprocessing
- Supervised Learning
- Advanced Analytics
- Python Programming
- Machine Learning Algorithms
- Scikit Learn (Machine Learning Library)
- Random Forest Algorithm
- Data Ethics
The Nuts and Bolts of Machine Learning
Completed by Cameran Frank
April 23, 2025
34 hours (approximately)
Cameran Frank'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
