- Machine Learning
- Model Evaluation
- Applied Machine Learning
- Feature Engineering
- Regression Analysis
- Artificial Neural Networks
- Random Forest Algorithm
- Unsupervised Learning
- Classification Algorithms
- Supervised Learning
- Python Programming
- Predictive Modeling
Applied Machine Learning in Python
Completed by MIKHAIL PISMAN
July 29, 2020
31 hours (approximately)
MIKHAIL PISMAN'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
