Applied Machine Learning in Python
Completed by William Robert Crook
August 20, 2017
31 hours (approximately)
William Robert Crook'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 Optimization
- Category: Machine Learning
- Category: Model Evaluation
- Category: Unsupervised Learning
- Category: Applied Machine Learning
- Category: Python Programming
- Category: Scikit Learn (Machine Learning Library)
- Category: Supervised Learning
- Category: Artificial Neural Networks
- Category: Classification Algorithms
- Category: Feature Engineering
