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