Applied Machine Learning in Python
Completed by Mauro Ezequiel Bordon
August 19, 2020
31 hours (approximately)
Mauro Ezequiel Bordon'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 Algorithms
- Category: Model Evaluation
- Category: Artificial Neural Networks
- Category: Supervised Learning
- Category: Model Training
- Category: Applied Machine Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Python Programming
- Category: Unsupervised Learning
- Category: Machine Learning Methods
- Category: Predictive Modeling
- Category: Feature Engineering
