Applied Machine Learning in Python
Completed by SEMEN LIPKIN
January 10, 2018
31 hours (approximately)
SEMEN LIPKIN'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: Artificial Neural Networks
- Category: Scikit Learn (Machine Learning Library)
- Category: Machine Learning Algorithms
- Category: Model Optimization
- Category: Machine Learning Methods
- Category: Applied Machine Learning
- Category: Model Evaluation
- Category: Feature Engineering
- Category: Machine Learning
- Category: Python Programming
- Category: Model Training
- Category: Classification Algorithms
