- Random Forest Algorithm
- Regression Analysis
- Scikit Learn (Machine Learning Library)
- Python Programming
- Applied Machine Learning
- Predictive Modeling
- Decision Tree Learning
- Machine Learning
- Unsupervised Learning
- Supervised Learning
- Dimensionality Reduction
- Feature Engineering
Applied Machine Learning in Python
Completed by Philippe Guillaume GRAFF
December 4, 2020
31 hours (approximately)
Philippe Guillaume GRAFF'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
