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Anubhavdevv / Awesome-Machine-Learning-Models

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Customer Segmentation using K-means Clustering #46

Closed void-02 closed 3 years ago

void-02 commented 3 years ago

Customer Segmentation is the subdivision of a market into discrete customer groups that share similar characteristics and it can be a powerful means to identify unsatisfied customer needs. Here is the approach for customer segmentation using K-means Clustering. This file contains distribution of each feature before making a 3D plot to visualize the spending score of the customers with their annual income and the data points are separated into 5 classes i.e. 5 clusters. This is followed by visualizing a elbow plot which is calculating the Within Cluster Sum of Squared Errors (WSS) for different values of k, and choose the k for which WSS first starts to diminish.

Anubhavdevv commented 3 years ago

Hey, @void-02 plz add the file in the specific folder, don't randomly create the file

Anubhavdevv commented 3 years ago

LGTM! @void-02 🚀 Thanks for your valuable contribution ✨ Hope you like the repo Do Give a star to this repo ✨