Meaningful Predictive Modeling
Completed by Tamara Alexandra Soós
June 20, 2021
8 hours (approximately)
Tamara Alexandra Soós'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: Text Mining
- Category: Classification Algorithms
- Category: Model Evaluation
- Category: Regression Analysis
- Category: Python Programming
- Category: Supervised Learning
- Category: Predictive Analytics
- Category: Statistical Modeling
- Category: Applied Machine Learning
- Category: Verification And Validation
- Category: Model Training
- Category: Model Optimization
