- Python Programming
- Regression Analysis
- Predictive Modeling
- Decision Tree Learning
- Unsupervised Learning
- Random Forest Algorithm
- Machine Learning
- Feature Engineering
- Dimensionality Reduction
- Scikit Learn (Machine Learning Library)
- Applied Machine Learning
- Supervised Learning
Applied Machine Learning in Python
Completed by Lorenzo Orozco GarcÃa
October 3, 2024
31 hours (approximately)
Lorenzo Orozco GarcÃa'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
