- Classification Algorithms
- Random Forest Algorithm
- Supervised Learning
- Python Programming
- Machine Learning
- Model Evaluation
- Performance Tuning
- Statistical Machine Learning
- Decision Tree Learning
- Advanced Analytics
- Unsupervised Learning
- Feature Engineering
The Nuts and Bolts of Machine Learning
Completed by Dhruva Tanneru
December 14, 2024
33 hours (approximately)
Dhruva Tanneru'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
