Applied Machine Learning in Python
Completed by Richard Haines
January 20, 2019
31 hours (approximately)
Richard Haines'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 Methods
- Category: Model Evaluation
- Category: Model Training
- Category: Machine Learning
- Category: Feature Engineering
- Category: Python Programming
- Category: Model Optimization
- Category: Machine Learning Algorithms
- Category: Supervised Learning
- Category: Unsupervised Learning
- Category: Applied Machine Learning
- Category: Classification Algorithms
