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