- Random Forest Algorithm
- Predictive Modeling
- Unsupervised Learning
- Decision Tree Learning
- Python Programming
- Regression Analysis
- Classification Algorithms
- Scikit Learn (Machine Learning Library)
- Feature Engineering
- Model Evaluation
- Artificial Neural Networks
- Applied Machine Learning
Applied Machine Learning in Python
Completed by Corrado Pancotti
January 3, 2021
31 hours (approximately)
Corrado Pancotti'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
