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purvanshgarg/Customer_Attrition_Prediction

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Customer Attrition Prediction

This basically deals with a banking compnay who is analysing it's client data by checking which are existing customer and which are attrited(discontinued using it's services)

and based on this pattern they needed to look for people who will become attrited in the near future.I did this using some help from kaggle dataset on customer_attrition_prediction. The dataset was quite similar to this and the code really helped me in following my approach.

The code is open to any kind of contribution you find suitable.

Reference:

 https://www.kaggle.com/code/gcdatkin/customer-attrition-prediction/notebook

Description of files given in repository:

predictions.csv:

It contains the predictions against the test data.

test.csv:

test dataset

train.csv:

train dataset

data_dictionary.docx:

Explanation/Details regarding the data stored in each column of dataset.

Attrition_Prediction.ipynb:

The solution for the problem through application of ml.

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This was part of a Data Science challenge hosted by Careerboat.

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