Meaningful Predictive Modeling
Completed by Erin Seong
November 14, 2019
8 hours (approximately)
Erin Seong'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: Natural Language Processing
- Category: Model Training
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Python Programming
- Category: Model Evaluation
- Category: Model Optimization
- Category: Supervised Learning
- Category: Regression Analysis
- Category: Verification And Validation
- Category: Predictive Modeling
