- Classification Algorithms
- Feature Engineering
- Model Evaluation
- Decision Tree Learning
- Python Programming
- Machine Learning
- Scikit Learn (Machine Learning Library)
- Applied Machine Learning
- Predictive Modeling
- Artificial Neural Networks
- Supervised Learning
- Unsupervised Learning
Applied Machine Learning in Python
Completed by João Vítor Vasconcelos Ponte
September 28, 2020
31 hours (approximately)
João Vítor Vasconcelos Ponte'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
