Meaningful Predictive Modeling
Completed by Xi Liu
January 17, 2020
8 hours (approximately)
Xi Liu'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: Predictive Analytics
- Category: Text Mining
- Category: Model Evaluation
- Category: Python Programming
- Category: Verification And Validation
- Category: Regression Analysis
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Model Training
- Category: Model Optimization
