/SupervisedClassification

Exploration of dataset using supervised classification methods such as Neural Networks, Support Vector Machines, and Random Forests.

Primary LanguageJupyter Notebook

Introduction to Supervised Classification

Exploration of a data set that contains rating information for cars in a used car dealership, with descriptor variables such as buying price and car features.

The models for supervised classification include:

  • Random Forests
  • Support Vector Machines
  • Multi-Layer Perceptrons (Neural Networks)

Sections

  1. Introduction and Data Management
  2. Random Forests
  3. Support Vector Machines
  4. Neural Networks
  5. Discussion and Evaluation