Meaningful Predictive Modeling
Completed by XIN SUI
August 4, 2019
8 hours (approximately)
XIN SUI'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: Predictive Analytics
- Category: Python Programming
- Category: Text Mining
- Category: Natural Language Processing
- Category: Applied Machine Learning
- Category: Model Training
- Category: Verification And Validation
- Category: Model Optimization
- Category: Classification Algorithms
- Category: Regression Analysis
- Category: Supervised Learning
- Category: Predictive Modeling
