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