Applied Machine Learning in Python
Completed by Kang Sheng Wong
October 30, 2019
31 hours (approximately)
Kang Sheng Wong'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 Methods
- Category: Model Optimization
- Category: Machine Learning
- Category: Model Evaluation
- Category: Unsupervised Learning
- Category: Applied Machine Learning
- Category: Python Programming
- Category: Scikit Learn (Machine Learning Library)
- Category: Supervised Learning
- Category: Artificial Neural Networks
- Category: Classification Algorithms
- Category: Feature Engineering
