Applied Machine Learning in Python
Completed by Sebastian Aguinaga Velasquez
April 20, 2024
31 hours (approximately)
Sebastian Aguinaga Velasquez'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: Machine Learning Methods
- Category: Feature Engineering
- Category: Python Programming
- Category: Predictive Modeling
- Category: Unsupervised Learning
- Category: Applied Machine Learning
- Category: Model Evaluation
- Category: Scikit Learn (Machine Learning Library)
- Category: Model Optimization
- Category: Supervised Learning
- Category: Artificial Neural Networks
