- Applied Machine Learning
- Decision Tree Learning
- Performance Tuning
- Random Forest Algorithm
- Data Ethics
- Analytics
- Python Programming
- Classification Algorithms
- Statistical Machine Learning
- Machine Learning Algorithms
- Model Evaluation
- Scikit Learn (Machine Learning Library)
The Nuts and Bolts of Machine Learning
Completed by Vine Nwabuisi Madukpe
February 21, 2024
34 hours (approximately)
Vine Nwabuisi Madukpe'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
