Wine-Type-Prediction
In this work data set from the UCI Machine Learning repository (available for free) is used. The data set consist of 12 variables that are included in the data
Required Libraries:
matplotlib
pandas
numpy
keras
scikit-learn
Explanation about Code:
Step #1: Preprocessing
Step #2: Splitting the data set for training and validating
Step #3: Structure of Network
Step #4: Training and Prediction
Netwrok Accuracy: 97.6 %