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glass-classification-ml's Introduction

Welcome!

My first ML project with Python. I classified different types of glass using Random Forest, MLP and Decision Tree methods. I found the best variables with the Feature Selection, and optimized the parameters with the GridSearchCV method. I combined three modeling methods with the Voting Classifier and completed my machine learning project.

I shared the data set with the code. You can use it as you wish.

Attributes (columns):

  • Rl: Refractive Index
  • Na: Sodium
  • Mg: Magnesium
  • Al: Aluminum
  • Si: Silicon
  • K: Potassium
  • Ca: Calcium
  • Ba: Barium
  • Fe: Iron
  • Type Of Glass: (Target)

The target label, Type of Glass has 6 classes:

  • (1) build wind float
  • (2) build wind non-float
  • (3) vehic wind float
  • (5) containers
  • (6) tableware
  • (7) headlamps

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