- Applied Machine Learning
- Random Forest Algorithm
- Predictive Modeling
- Decision Tree Learning
- Feature Engineering
- Python Programming
- Machine Learning
- Regression Analysis
- Unsupervised Learning
- Supervised Learning
- Scikit Learn (Machine Learning Library)
- Dimensionality Reduction
Applied Machine Learning in Python
Completed by ASHISH DEVASSY
November 30, 2021
31 hours (approximately)
ASHISH DEVASSY'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
