- Artificial Neural Networks
- Model Evaluation
- Supervised Learning
- Feature Engineering
- Applied Machine Learning
- Scikit Learn (Machine Learning Library)
- Machine Learning
- Classification Algorithms
- Predictive Modeling
- Regression Analysis
- Random Forest Algorithm
- Unsupervised Learning
Applied Machine Learning in Python
Completed by YI-CHEN ZHANG
June 12, 2020
31 hours (approximately)
YI-CHEN ZHANG'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
