Artificial Neural Network on Wine Dataset Its built from scratch using Keras in Python. The attributes are
- Alcohol
- Malic acid
- Ash
- Alcalinity of ash
- Magnesium
- Total phenols
- Flavanoids
- Nonflavanoid phenols
- Proanthocyanins
- Color intensity
- Hue
- OD280/OD315 of diluted wines
- Proline
During data preprocessing phase, I have used feature elimination techniqes via Exploratory Data Analysis(EDA) and data visualization to reduce Computational Time to a greater extent.