- Python Programming
- Machine Learning
- Predictive Modeling
- Random Forest Algorithm
- Decision Tree Learning
- Feature Engineering
- Applied Machine Learning
- Regression Analysis
- Dimensionality Reduction
- Unsupervised Learning
- Scikit Learn (Machine Learning Library)
- Supervised Learning
Applied Machine Learning in Python
Completed by Vitor Spada
September 25, 2020
31 hours (approximately)
Vitor Spada'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
