Meaningful Predictive Modeling
Completed by Tejasva Wamanker
October 4, 2024
8 hours (approximately)
Tejasva Wamanker'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: Text Mining
- Category: Predictive Analytics
- Category: Predictive Modeling
- Category: Statistical Modeling
- Category: Regression Analysis
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Natural Language Processing
- Category: Verification And Validation
