- Machine Learning
- Decision Tree Learning
- Predictive Modeling
- Supervised Learning
- Scikit Learn (Machine Learning Library)
- Dimensionality Reduction
- Unsupervised Learning
- Random Forest Algorithm
- Python Programming
- Regression Analysis
- Applied Machine Learning
- Feature Engineering
Applied Machine Learning in Python
Completed by Sebastian San Blas
May 24, 2020
31 hours (approximately)
Sebastian San Blas'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
