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