- Data Validation
- Machine Learning Methods
- Supervised Learning
- Predictive Modeling
- Feature Engineering
- Data Preprocessing
- Natural Language Processing
- Classification Algorithms
- Python Programming
- Model Evaluation
- Statistical Methods
- Regression Analysis
Meaningful Predictive Modeling
Completed by Anushree Chakraborty
March 24, 2021
8 hours (approximately)
Anushree Chakraborty'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
