📃: Customer Segmentation and Statistical Analysis Enhancements

[sharayuanuse]

🔴 Title : Customer Segmentation and Statistical Analysis Enhancements
🔴 Aim : To implement customer segmentation and statistical analysis features, including data visualizations and PDF report generation.
🔴 Brief Explanation : The Customer Segmentation and Statistical Analysis project focuses on the following key objectives:

• Customer Segmentation:

  • Perform clustering techniques such as KMeans to segment customers based on key features like age, annual income, and spending score.
  • Identify distinct customer groups to enable personalized marketing strategies.

• Statistical Analysis:

  • Generate key statistical metrics such as mean, median, and standard deviation for customer attributes.
  • Perform a detailed analysis of customer demographics and spending patterns.

• Data Visualization:

  • Create visualizations including distribution plots, scatter plots, and correlation heatmaps to present insights.
  • Visualize customer segments in both 2D and 3D spaces for better understanding.

• PDF Report Generation:

  • Generate comprehensive PDF reports including all visualizations and statistical summaries.
  • Provide insights and conclusions based on the data analysis and clustering results.

Screenshots 📷

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✅ To be Mentioned while taking the issue :

• Full name : Sharayu Arjun Anuse
• What is your participant role? (Mention the Open Source Program name. Eg. GSOC, GSSOC, SSOC, JWOC, etc.)
  GSSOC, Hacktoberfest

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Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

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[github-actions]

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