SVM : Classification of Wine

About

Built a Wine classification model by using SVM(Support Vector Machine)

Objective:

Create a model for Wine classification

Steps and Tasks:

1. Exploratory Data Analysis
2. Find a good Wine classification model by using SVM

Contents

This is a Wine Data set. This Data set contains 178 rows and 14 columns. We use SVM Classification for Classify Wine.

For this Classification i Used:

1. SVM
2. RBF Kernel
3. Polynomial Kernel
4. Linear Kernel

Result

From this SVM with RBF Kernel model gives better classification

Tools Used

1. Python
2. Scikit- learn
3. Pandas
4. Numpy
5. Matplotlib
6. Jupyter Notebook

Technologies Used

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