- Predictive Modeling
- Data Preprocessing
- Classification Algorithms
- Feature Engineering
- Statistical Methods
- Data Validation
- Natural Language Processing
- Model Evaluation
- Python Programming
- Regression Analysis
- Machine Learning Methods
- Supervised Learning
Meaningful Predictive Modeling
Completed by Hritik Panchasara
September 7, 2020
8 hours (approximately)
Hritik Panchasara'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
