anarsultani97/Support-Vector-Machine-Neural-Networks

In machine learning, support vector machines are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis

Support Vector Machines (SVM)

This is a group assignment for Neural Network course in Khazar University.

Assignment is related to Support Vector Machines (SVM) and its implementation using real world built-in datasets.

Iris.py file try to classify 2 species of flowers which are in iris data set with comparing predicted values with the target values.

Used datasets:

• Iris Flower Dataset

• Breast Cancer Wisconsin (Diagnostic) Data Set

  
  
  
  

Used libraries:

• Numpy
• Pandas
• Matplotlib
• Seaborn
• Sklearn