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