- Python Programming
- Unsupervised Learning
- Artificial Neural Networks
- Predictive Modeling
- Applied Machine Learning
- Random Forest Algorithm
- Regression Analysis
- Scikit Learn (Machine Learning Library)
- Machine Learning
- Classification Algorithms
- Supervised Learning
- Decision Tree Learning
Applied Machine Learning in Python
Completed by KEVIN CHARLES KUEI
February 13, 2020
31 hours (approximately)
KEVIN CHARLES KUEI'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
