Meaningful Predictive Modeling
Completed by XIN SUI
August 4, 2019
8 hours (approximately)
XIN SUI'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
- Category: Statistical Modeling
- Category: Predictive Modeling
- Category: Model Training
- Category: Classification Algorithms
- Category: Model Optimization
- Category: Natural Language Processing
- Category: Text Mining
- Category: Regression Analysis
- Category: Supervised Learning
- Category: Applied Machine Learning
- Category: Verification And Validation
- Category: Predictive Analytics
