Meaningful Predictive Modeling
Completed by Shay Hermon
September 5, 2019
8 hours (approximately)
Shay Hermon'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: Model Optimization
- Category: Text Mining
- Category: Model Evaluation
- Category: Classification Algorithms
- Category: Predictive Analytics
- Category: Applied Machine Learning
- Category: Natural Language Processing
- Category: Regression Analysis
- Category: Predictive Modeling
- Category: Statistical Modeling
- Category: Supervised Learning
