- Machine Learning Methods
- Python Programming
- Regression Analysis
- Predictive Modeling
- Natural Language Processing
- Classification Algorithms
- Supervised Learning
- Model Evaluation
- Data Preprocessing
- Statistical Methods
- Feature Engineering
- Data Validation
Meaningful Predictive Modeling
Completed by Hans Henrik Hansen
March 5, 2020
8 hours (approximately)
Hans Henrik Hansen'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
