Applied Machine Learning in Python
Completed by Philippe Guillaume GRAFF
December 4, 2020
31 hours (approximately)
Philippe Guillaume GRAFF'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
- Category: Feature Engineering
- Category: Random Forest Algorithm
- Category: Regression Analysis
- Category: Decision Tree Learning
- Category: Machine Learning
- Category: Model Evaluation
- Category: Classification Algorithms
- Category: Unsupervised Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Artificial Neural Networks
- Category: Predictive Modeling
- Category: Applied Machine Learning
