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