- Test Data
- Predictive Modeling
- Natural Language Processing
- Python Programming
- Verification And Validation
- Machine Learning Methods
- Regression Analysis
- Supervised Learning
- Statistical Methods
- Applied Machine Learning
- Data Validation
Meaningful Predictive Modeling
Completed by Anushree Chakraborty
March 24, 2021
8 hours (approximately)
Anushree Chakraborty's account is verified. Coursera certifies their successful completion of Meaningful Predictive Modeling
What you will learn
Understand the definitions of simple error measures (e.g. MSE, accuracy, precision/recall).
Evaluate the performance of regressors / classifiers using the above measures.
Understand the difference between training/testing performance, and generalizability.
Understand techniques to avoid overfitting and achieve good generalization performance.
Skills you will gain
