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  1. Forked from DSKunth/ETL-Pipeline

    This repository contains tasks on how to build an ETL pipeline for the online transaction data of an e-commerce company.

    Python

  2. Forked from DSKunth/Customer-Segmentation

    This repository covers data extraction from Amazon Redshift, data preprocessing, exploratory data analysis, and customer segmentation based on RFM using percentile ranking and Kmeans clustering.

    Jupyter Notebook

  3. Forked from DSKunth/ABC-Product-Segmentation

    The original dataset is a year's worth of electronics sales transactions. It has around 185K records and 11 attributes. Business Objective: Identify the products which generated 80% of profit.

    Jupyter Notebook

  4. Forked from fmind/mlops-python-package

    Kickstart your MLOps initiative with a flexible, robust, and productive Python package.

    Jupyter Notebook