- Decision Tree Learning
- Model Evaluation
- Artificial Neural Networks
- Predictive Modeling
- Random Forest Algorithm
- Applied Machine Learning
- Python Programming
- Classification Algorithms
- Unsupervised Learning
- Regression Analysis
- Machine Learning
- Scikit Learn (Machine Learning Library)
Applied Machine Learning in Python
Completed by ALVARO JAVIER VELASQUEZ POBRE
November 20, 2020
31 hours (approximately)
ALVARO JAVIER VELASQUEZ POBRE'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
