Meaningful Predictive Modeling
Completed by Hritik Panchasara
September 7, 2020
8 hours (approximately)
Hritik Panchasara'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 Modeling
- Category: Model Evaluation
- Category: Regression Analysis
- Category: Model Optimization
- Category: Text Mining
- Category: Python Programming
- Category: Verification And Validation
- Category: Model Training
- Category: Statistical Modeling
- Category: Natural Language Processing
- Category: Supervised Learning
- Category: Classification Algorithms
