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Pathakdarshan12/Customer_Segmentation

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The analysis will include exploratory data analysis (EDA), dimensionality reduction using techniques like PCA, clustering to identify patterns, and association rule mining to discover relationships between variables. The goal is to extract valuable insights from the data and provide actionable recommendations for decision-making.

active 2024-06-232024-06-24 (UTC)

Complete coverage26,775 / 26,775 hourly files (100%) · 2 absent upstream2023-08-152026-09-03 (UTC)
Events
5
Pushes
3
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

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Line chart, 2 days from 2024-06-23 to 2024-06-24. Pushes: 3 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

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Pathakdarshan123300

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No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.