- Data Preprocessing
- Classification Algorithms
- Predictive Modeling
- Natural Language Processing
- Supervised Learning
- Data Validation
- Model Evaluation
- Regression Analysis
- Machine Learning Methods
- Python Programming
- Feature Engineering
- Statistical Methods
Meaningful Predictive Modeling
Completed by Aakash Kumar Sinha
March 10, 2021
8 hours (approximately)
Aakash Kumar Sinha'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
