https://github.com/aryashah2k/datalogy-customer-segmentation-data-science-internship

A Repository Maintaining My Summer Internship Work At Datalogy As A Data Science Intern Working On Customer Segmentation Models Using Heirarchical Clustering, K-Means Clustering And Identifying Loyal Customers Based On Creation Of Recency, Frequence, Monetary (RFM) Matrix.

https://github.com/aryashah2k/datalogy-customer-segmentation-data-science-internship

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    1 of 1 committers (100.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.2%) to scientific vocabulary

Keywords

cluster-analysis clustering clustering-algorithm customer-segmentation data-analysis data-science data-visualization dataset heirarchical-clustering internship jupyter-notebook kmeans-clustering python python3 rfm-analysis
Last synced: 5 months ago · JSON representation

Repository

A Repository Maintaining My Summer Internship Work At Datalogy As A Data Science Intern Working On Customer Segmentation Models Using Heirarchical Clustering, K-Means Clustering And Identifying Loyal Customers Based On Creation Of Recency, Frequence, Monetary (RFM) Matrix.

Basic Info
  • Host: GitHub
  • Owner: aryashah2k
  • License: apache-2.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 21.3 MB
Statistics
  • Stars: 18
  • Watchers: 1
  • Forks: 4
  • Open Issues: 0
  • Releases: 0
Topics
cluster-analysis clustering clustering-algorithm customer-segmentation data-analysis data-science data-visualization dataset heirarchical-clustering internship jupyter-notebook kmeans-clustering python python3 rfm-analysis
Created about 5 years ago · Last pushed about 5 years ago
Metadata Files
Readme License

README.md

Datalogy-Customer-Segmentation-Data-Science-Internship

About

To be added.

📖 Table Of Contents

| Notebook | Link To Notebook | |--------|--------| |HAC + KMeans Clustering|Click To View|

| Dataset | Link To Dataset | |--------|--------| |Credit Card Customer Data|Click To View|

📖 Resources

|Resource Name|Link To Resource| |----------|----------| |Heirarchical Clustering Notes|Click To View| |Examples Of Heirarchical Clustering Notes|Click To View| |PowerPoint Presentation On Clustering|Click to View PPT|

🎓 Achievement + Internship Certificate

Click to View Internship Completion Certificate

The mode of selection for the internship was a scholarship quiz where I ranked 2nd Place and joint full score winner.

Internship Selection Result

Recommendation Letter

certificate

|Donate/Support|View My Work(In Progress!)|Follow / Connect With Me|Follow / Connect With Me| |-----|-----|-----|-----| |Arya Shah - PatreonArya Shah - Ko-Fi|Arya's Hashnode BlogArya's KaggleArya's Dockship|Arya Shah - TwitterArya's InstagramArya's RedditArya's Person Email|Arya's LinkedInArya's StackoverlfowArya's Institute Email|

Owner

  • Name: Arya Shah
  • Login: aryashah2k
  • Kind: user
  • Location: Mumbai, India
  • Company: IIT Gandhinagar

Artificial Intelligence Engineer & Researcher

GitHub Events

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Last Year

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 18
  • Total Committers: 1
  • Avg Commits per committer: 18.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Arya Shah a****2@n****n 18
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 8 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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