- Decision Tree Learning
- Python Programming
- Scikit Learn (Machine Learning Library)
- Machine Learning
- Random Forest Algorithm
- Unsupervised Learning
- Model Evaluation
- Predictive Modeling
- Classification Algorithms
- Feature Engineering
- Supervised Learning
- Applied Machine Learning
Applied Machine Learning in Python
Completed by JOAO CARLOS RIBEIRO SCHARFF
June 13, 2022
31 hours (approximately)
JOAO CARLOS RIBEIRO SCHARFF'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
