Skip to content

Here is the data set: https://www.kaggle.com/iamaniket/suv-data. It contains a number of features and we have to predict if a customer with a given set of features will purchase the SUV or not. Here I have used multiple algorithms to compare the accuracy output of each algorithm and found that SVM provides the highest accuracy.

License

Notifications You must be signed in to change notification settings

Abhistha1996/SUV_Purchase_Prediction

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 

Repository files navigation

SUV_Purchase_Prediction

SUV car purchase prediction

Here is the data set : https://www.kaggle.com/iamaniket/suv-data. It contains a number of features and we have to predict if a customer with a given set of features will purchase the SUV or not. Here I have used multiple algorithms to comapre the accuracy output of each algorithm and found that SVM provides the highest accuracy.

I am a begginner in Data Science and I would absolutely love some feedbacks :)

Regards, Abhistha Chatterjee (abhistha.official@gmail.com)

About

Here is the data set: https://www.kaggle.com/iamaniket/suv-data. It contains a number of features and we have to predict if a customer with a given set of features will purchase the SUV or not. Here I have used multiple algorithms to compare the accuracy output of each algorithm and found that SVM provides the highest accuracy.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published