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 Training
- Category: Natural Language Processing
- Category: Classification Algorithms
- Category: Regression Analysis
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Model Optimization
- Category: Predictive Analytics
- Category: Statistical Modeling
- Category: Predictive Modeling
- Category: Text Mining
- Category: Verification And Validation
