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.
- Rl: Refractive Index
- Na: Sodium
- Mg: Magnesium
- Al: Aluminum
- Si: Silicon
- K: Potassium
- Ca: Calcium
- Ba: Barium
- Fe: Iron
- Type Of Glass: (Target)
- (1) build wind float
- (2) build wind non-float
- (3) vehic wind float
- (5) containers
- (6) tableware
- (7) headlamps