- Python Programming
- Supervised Learning
- Predictive Modeling
- Decision Tree Learning
- Applied Machine Learning
- Unsupervised Learning
- Regression Analysis
- Random Forest Algorithm
- Feature Engineering
- Dimensionality Reduction
- Scikit Learn (Machine Learning Library)
- Machine Learning
Applied Machine Learning in Python
Completed by Porter Foulger
February 9, 2021
31 hours (approximately)
Porter Foulger'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
