Applied Machine Learning in Python
Completed by SEN HIN EDGAR TSE
May 16, 2020
31 hours (approximately)
SEN HIN EDGAR TSE'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: Python Programming
- Category: Machine Learning Algorithms
- Category: Applied Machine Learning
- Category: Classification Algorithms
- Category: Scikit Learn (Machine Learning Library)
- Category: Feature Engineering
- Category: Machine Learning
- Category: Model Optimization
- Category: Machine Learning Methods
- Category: Unsupervised Learning
- Category: Supervised Learning
