- Statistical Methods
- Supervised Learning
- Model Evaluation
- Natural Language Processing
- Predictive Modeling
- Regression Analysis
- Feature Engineering
- Python Programming
- Data Preprocessing
- Data Validation
- Machine Learning Methods
- Classification Algorithms
Meaningful Predictive Modeling
Completed by Agnes Anna Adamecz
April 17, 2021
8 hours (approximately)
Agnes Anna Adamecz'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
