Applied Machine Learning in Python
Completed by Sebastian Dimpker
September 16, 2019
31 hours (approximately)
Sebastian Dimpker'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: Applied Machine Learning
- Category: Artificial Neural Networks
- Category: Unsupervised Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Model Training
- Category: Predictive Modeling
- Category: Model Evaluation
- Category: Supervised Learning
- Category: Machine Learning Algorithms
- Category: Python Programming
- Category: Machine Learning
- Category: Feature Engineering
