- Predictive Modeling
- Supervised Learning
- Machine Learning Methods
- Regression Analysis
- Feature Engineering
- Data Validation
- Classification Algorithms
- Natural Language Processing
- Python Programming
- Statistical Methods
- Model Evaluation
- Data Preprocessing
Meaningful Predictive Modeling
Completed by Ishika Raj
April 28, 2021
8 hours (approximately)
Ishika Raj'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
