Meaningful Predictive Modeling
Completed by Peter Miller
September 5, 2019
8 hours (approximately)
Peter Miller'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: Applied Machine Learning
- Category: Supervised Learning
- Category: Model Optimization
- Category: Model Training
- Category: Classification Algorithms
- Category: Natural Language Processing
- Category: Verification And Validation
- Category: Text Mining
- Category: Model Evaluation
- Category: Regression Analysis
- Category: Predictive Modeling
- Category: Statistical Modeling
