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pySETTV (WIP)

Codes to Sample, Explore, Transform, Train Models and Validate Models.

03 - Transform

04 - Train Models

  • Linear Regression
  • Generalized Linear Models
  • Logistic Regression
  • Decision Trees
  • Random Forest
  • Gradient Boosting
  • Neural Networks
  • Support Vector Machine
  • Gaussian Naive Bayes
  • Multinominal Naive Bayes
  • K-Nearest Neighbors

05 - Validate Models

  • Fit Statistics for Quantitative Outcome
  • Fit Statistics for Binary Outcome
  • Linear Regressions Assumptions Check
  • Graphical Model Validation for Binary Outcome
  • Graphical Model Validation for Quantitative Outcome
  • Model Comparison

06 - Utility & References

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