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