- Classification Algorithms
- Model Evaluation
- Statistical Machine Learning
- Supervised Learning
- Python Programming
- Performance Tuning
- Unsupervised Learning
- Random Forest Algorithm
- Advanced Analytics
- Data Ethics
- Machine Learning
- Decision Tree Learning
The Nuts and Bolts of Machine Learning
Completed by Fatima Karimova
August 8, 2024
33 hours (approximately)
Fatima Karimova'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
