Applied Machine Learning in Python
Completed by Christopher James Cavanaugh
August 18, 2019
31 hours (approximately)
Christopher James Cavanaugh'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: Model Optimization
- Category: Supervised Learning
- Category: Model Evaluation
- Category: Unsupervised Learning
- Category: Feature Engineering
- Category: Artificial Neural Networks
- Category: Machine Learning Methods
- Category: Machine Learning
- Category: Model Training
- Category: Predictive Modeling
- Category: Classification Algorithms
- Category: Python Programming
