- Model Evaluation
- Regression Analysis
- Artificial Neural Networks
- Feature Engineering
- Machine Learning
- Applied Machine Learning
- Scikit Learn (Machine Learning Library)
- Decision Tree Learning
- Predictive Modeling
- Supervised Learning
- Python Programming
- Classification Algorithms
Applied Machine Learning in Python
Completed by Jin Hong Jessica Kim
January 13, 2021
31 hours (approximately)
Jin Hong Jessica Kim'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
