kelvin006/Improved_RFM_Customer_Segmentation kelvin006/Improved_RFM_Customer_Segmentation

  • Stars
    star
    2
  • Language
    Jupyter Notebook
  • Created over 2 years ago
  • Updated over 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
kelvin006/Improved_RFM_Customer_Segmentation
github

kelvin006

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Improving the RFM model in customer segmentation

More Repositories

1

Big-Data-Analytics-of-Crimes-in-Uk

The project aims to provide a detailed analysis as well as answer some questions about crimes in the UK. The dataset comprises of approximately 40 million records of crime data from 2010 to 2018. Apache Spark through python (Pyspack) was majorly used.
Jupyter Notebook
2
star
2

Heart-Disease-Predictiction

The aim of the project is to hasten heart disease diagnosis by about 30% to save doctors and medical practitioners time. Various classifier models were built with health dataset (about 70,000 records). The models were evaluated with accuracy and Mathews Correlation Coefficient (MCC). Prior to model building, the given dataset was analysed and some interesting insights were uncovered.
Jupyter Notebook
1
star