- Feature Engineering
- Artificial Neural Networks
- Python Programming
- Supervised Learning
- Predictive Modeling
- Scikit Learn (Machine Learning Library)
- Decision Tree Learning
- Applied Machine Learning
- Unsupervised Learning
- Model Evaluation
- Random Forest Algorithm
- Machine Learning
Applied Machine Learning in Python
Completed by Diego Jun Sato Kurashima
June 17, 2023
31 hours (approximately)
Diego Jun Sato Kurashima'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
