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: Verification And Validation
- Category: Natural Language Processing
- Category: Text Mining
- Category: Model Evaluation
- Category: Predictive Analytics
- Category: Model Optimization
- Category: Model Training
- Category: Classification Algorithms
- Category: Regression Analysis
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Predictive Modeling
