- Unsupervised Learning
- Artificial Neural Networks
- Classification Algorithms
- Regression Analysis
- Model Evaluation
- Supervised Learning
- Scikit Learn (Machine Learning Library)
- Random Forest Algorithm
- Decision Tree Learning
- Feature Engineering
- Python Programming
- Applied Machine Learning
Applied Machine Learning in Python
Completed by Nikolas Osvalds
November 24, 2022
31 hours (approximately)
Nikolas Osvalds'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
