Applied Machine Learning in Python
Completed by Kyle Drew Neal Saffy
January 10, 2020
31 hours (approximately)
Kyle Drew Neal Saffy'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: Scikit Learn (Machine Learning Library)
- Category: Machine Learning Algorithms
- Category: Predictive Modeling
- Category: Model Optimization
- Category: Artificial Neural Networks
- Category: Machine Learning
- Category: Model Evaluation
- Category: Applied Machine Learning
- Category: Python Programming
- Category: Feature Engineering
- Category: Classification Algorithms
- Category: Unsupervised Learning
