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F16 DS502 Statistical Methods for Data Science

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DS502

Statistical Methods for Data Science

Homework Code

Code for homework problems.

Lecture Notes

  1. Introduction, Quick Review of Simple & Multiple Linear Regression
  2. Logistic Regression, Linear & Quadratic Discriminant Analysis
  3. Resampling
  4. Model Selection
  5. Dimension Reduction
  6. Nonlinear Modeling
  7. Tree Based Methods, Bagging, & Random Forests
  8. Support Vector Machines

License

Released under the MIT license. See LICENSE for details.

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