Applied Machine Learning in Python
Completed by Jacob Spurgeon-Hess
February 12, 2025
31 hours (approximately)
Jacob Spurgeon-Hess's account is verified. Coursera certifies their successful completion of Applied Machine Learning in Python
What you will learn
Describe how machine learning is different than descriptive statistics
Create and evaluate data clusters
Explain different approaches for creating predictive models
Build features that meet analysis needs
Skills you will gain
- Category: Machine Learning Algorithms
- Category: Model Optimization
- Category: Artificial Neural Networks
- Category: Model Training
- Category: Scikit Learn (Machine Learning Library)
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Machine Learning Methods
- Category: Feature Engineering
- Category: Python Programming
- Category: Machine Learning
- Category: Model Evaluation
