- 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 Christopher THOMIAS
August 1, 2022
31 hours (approximately)
Christopher THOMIAS'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
