- Feature Engineering
- Regression Analysis
- Artificial Neural Networks
- Decision Tree Learning
- Classification Algorithms
- Scikit Learn (Machine Learning Library)
- Python Programming
- Random Forest Algorithm
- Machine Learning
- Supervised Learning
- Predictive Modeling
- Model Evaluation
Applied Machine Learning in Python
Completed by Rodrigo Schammass
January 26, 2020
31 hours (approximately)
Rodrigo Schammass'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
