- Dimensionality Reduction
- Scikit Learn (Machine Learning Library)
- Predictive Modeling
- Supervised Learning
- Regression Analysis
- Feature Engineering
- Random Forest Algorithm
- Applied Machine Learning
- Machine Learning
- Python Programming
- Unsupervised Learning
- Decision Tree Learning
Applied Machine Learning in Python
Completed by ALEXA ST FRANCIS ZERYCK
December 9, 2021
31 hours (approximately)
ALEXA ST FRANCIS ZERYCK'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
