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: Classification Algorithms
- Category: Supervised Learning
- Category: Model Evaluation
- Category: Unsupervised Learning
- Category: Predictive Modeling
- Category: Artificial Neural Networks
- Category: Model Optimization
- Category: Model Training
- Category: Python Programming
- Category: Machine Learning Methods
- Category: Scikit Learn (Machine Learning Library)
- Category: Feature Engineering
