- Applied Machine Learning
- Supervised Learning
- Model Evaluation
- Predictive Modeling
- Classification Algorithms
- Python Programming
- Artificial Neural Networks
- Machine Learning
- Unsupervised Learning
- Random Forest Algorithm
- Feature Engineering
- Scikit Learn (Machine Learning Library)
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
