- Applied Machine Learning
- Predictive Modeling
- Random Forest Algorithm
- Classification Algorithms
- Machine Learning
- Python Programming
- Decision Tree Learning
- Unsupervised Learning
- Regression Analysis
- Feature Engineering
- Supervised Learning
- Artificial Neural Networks
Applied Machine Learning in Python
Completed by Erick Santiago Giraldo-Pérez
December 7, 2020
31 hours (approximately)
Erick Santiago Giraldo-Pérez'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
