Different approaches on classifying customers who are most likely to purchase an offer. The said classification approaches are: Support Vector Machines (SVM), k-Nearest Neighbors (kNN), Decision Tree (DT), Logistic with PolynomialFeatures, Logistic, Linear with Polynomial Features, and Linear Classification. Made with Jupyter Notebook, scikit-learn, and other helpful python packages.
-
Notifications
You must be signed in to change notification settings - Fork 0
KyleZrey/membership-classification
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Different machine learning approaches on classifying customers who are most likely to purchase an offer. Made with Jupyter Notebook, scikit-learn, and other helpful python packages.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published