- Decision Tree Learning
- Regression Analysis
- Supervised Learning
- Scikit Learn (Machine Learning Library)
- Feature Engineering
- Random Forest Algorithm
- Unsupervised Learning
- Classification Algorithms
- Predictive Modeling
- Applied Machine Learning
- Python Programming
- Model Evaluation
Applied Machine Learning in Python
Completed by Guilherme Fuzisawa de Sá
July 6, 2020
31 hours (approximately)
Guilherme Fuzisawa de Sá'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
