- Feature Engineering
- Scikit Learn (Machine Learning Library)
- Unsupervised Learning
- Dimensionality Reduction
- Supervised Learning
- Regression Analysis
- Applied Machine Learning
- Predictive Modeling
- Machine Learning
- Decision Tree Learning
- Python Programming
- Random Forest Algorithm
Applied Machine Learning in Python
Completed by Landry Edi
March 29, 2018
31 hours (approximately)
Landry Edi'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
