Applied Machine Learning in Python
Completed by Lucas Takeshi Watanabe
April 3, 2020
31 hours (approximately)
Lucas Takeshi Watanabe'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: Model Training
- Category: Applied Machine Learning
- Category: Classification Algorithms
- Category: Feature Engineering
- Category: Python Programming
- Category: Machine Learning
- Category: Artificial Neural Networks
- Category: Machine Learning Algorithms
- Category: Scikit Learn (Machine Learning Library)
- Category: Predictive Modeling
- Category: Model Evaluation
- Category: Model Optimization
