Applied Machine Learning in Python
Completed by Simon Bastide
December 7, 2019
31 hours (approximately)
Simon Bastide'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: Random Forest Algorithm
- Category: Model Evaluation
- Category: Artificial Neural Networks
- Category: Regression Analysis
- Category: Decision Tree Learning
- Category: Applied Machine Learning
- Category: Predictive Modeling
- Category: Feature Engineering
- Category: Unsupervised Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Python Programming
- Category: Supervised Learning
