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