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: Feature Engineering
- Category: Unsupervised Learning
- Category: Python Programming
- Category: Model Evaluation
- Category: Artificial Neural Networks
- Category: Model Optimization
- Category: Model Training
- Category: Predictive Modeling
- Category: Supervised Learning
- Category: Machine Learning Algorithms
- Category: Machine Learning
- Category: Classification Algorithms
