- Data Preprocessing
- Predictive Modeling
- Regression Analysis
- Data Validation
- Statistical Methods
- Model Evaluation
- Classification Algorithms
- Supervised Learning
- Natural Language Processing
- Python Programming
- Feature Engineering
- Machine Learning Methods
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
