Machine Learning with 5 different algorithms

In this project, the dataset was created through a survey opened on Google forms.
The purpose of the form is to find the person’s favorite shopping type based on the information provided. In this context, 13 questions were asked to the user.
As a result of these questions, the estimation of the shopping type, which is a classification problem, will be carried out with 5 different algorithms.

These algorithms;

  • Logistic Regression
  • Random Forest Classifier
  • Support Vector Machine
  • K Neighbors
  • Decision Tree

algorithms will have a total of 12 parameters

A total of 219 people participated in the survey and the answers given to this form were used in the training of the algorithm.

Target variables to be estimated;

  • Clothing
  • Technology
  • Home/Life
  • Book/Magazine

The questions asked to make the estimation are as




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