Meaningful Predictive Modeling
Completed by Sanat B Singh
March 3, 2021
8 hours (approximately)
Sanat B Singh'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: Model Optimization
- Category: Model Training
- Category: Classification Algorithms
- Category: Predictive Analytics
- Category: Supervised Learning
- Category: Regression Analysis
- Category: Python Programming
- Category: Predictive Modeling
- Category: Text Mining
- Category: Statistical Modeling
- Category: Natural Language Processing
- Category: Verification And Validation
