This project demonstrates how to build a simple Linear Regression model using Python and machine learning libraries. The goal of the project is to predict a student's exam score based on the number of hours they studied. Linear Regression is one of the most fundamental supervised learning algorithms used to predict continuous numerical values
active 2026-03-05 → 2026-03-05 (UTC)
Activity over time
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Line chart, 1 days from 2026-03-05 to 2026-03-05. Pushes: 0 total, peak 0 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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Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
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