- Python Programming
- Unsupervised Learning
- Artificial Neural Networks
- Scikit Learn (Machine Learning Library)
- Random Forest Algorithm
- Machine Learning
- Feature Engineering
- Classification Algorithms
- Applied Machine Learning
- Model Evaluation
- Decision Tree Learning
- Regression Analysis
Applied Machine Learning in Python
Completed by Nobuyuki Hosaka
December 26, 2020
31 hours (approximately)
Nobuyuki Hosaka'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
