Applied Machine Learning in Python
Completed by Diego Harold Carranza
March 24, 2026
31 hours (approximately)
Diego Harold Carranza'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 Evaluation
- Category: Predictive Modeling
- Category: Machine Learning Methods
- Category: Machine Learning Algorithms
- Category: Scikit Learn (Machine Learning Library)
- Category: Applied Machine Learning
- Category: Classification Algorithms
- Category: Artificial Neural Networks
- Category: Machine Learning
- Category: Python Programming
- Category: Feature Engineering
- Category: Unsupervised Learning
