- Random Forest Algorithm
- Feature Engineering
- Decision Tree Learning
- Machine Learning
- Supervised Learning
- Unsupervised Learning
- Predictive Modeling
- Scikit Learn (Machine Learning Library)
- Artificial Neural Networks
- Regression Analysis
- Model Evaluation
- Python Programming
Applied Machine Learning in Python
Completed by Alexander Battles
February 29, 2020
31 hours (approximately)
Alexander Battles'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
