Applied Machine Learning in Python
Completed by Marios Sirtmatsis
April 1, 2021
31 hours (approximately)
Marios Sirtmatsis'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: Machine Learning
- Category: Random Forest Algorithm
- Category: Unsupervised Learning
- Category: Model Evaluation
- Category: Decision Tree Learning
- Category: Classification Algorithms
- Category: Feature Engineering
- Category: Predictive Modeling
- Category: Scikit Learn (Machine Learning Library)
- Category: Python Programming
- Category: Regression Analysis
- Category: Artificial Neural Networks
