- Decision Tree Learning
- Unsupervised Learning
- Model Evaluation
- Performance Tuning
- Applied Machine Learning
- Scikit Learn (Machine Learning Library)
- Machine Learning Algorithms
- Verification And Validation
- Feature Engineering
- Random Forest Algorithm
- Python Programming
- Machine Learning
The Nuts and Bolts of Machine Learning
Completed by Youssef BENHACHEM
October 15, 2023
34 hours (approximately)
Youssef BENHACHEM'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
