- Feature Engineering
- Regression Analysis
- Model Evaluation
- Classification Algorithms
- Machine Learning
- Decision Tree Learning
- Predictive Modeling
- Artificial Neural Networks
- Applied Machine Learning
- Random Forest Algorithm
- Python Programming
- Unsupervised Learning
Applied Machine Learning in Python
Completed by Samuel Davis
May 21, 2020
31 hours (approximately)
Samuel Davis'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
