- Model Evaluation
- Decision Tree Learning
- Scikit Learn (Machine Learning Library)
- Applied Machine Learning
- Supervised Learning
- Regression Analysis
- Feature Engineering
- Machine Learning
- Predictive Modeling
- Artificial Neural Networks
- Classification Algorithms
- Python Programming
Applied Machine Learning in Python
Completed by Christopher Seay
January 21, 2021
31 hours (approximately)
Christopher Seay'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
