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本实验旨在通过 Python 实现一元线性回归模型(Linear Regression),并利用**梯度下降法(Gradient Descent)**求解模型参数,实现对数据的拟合与预测。实验所用数据文件为 ex1data1.txt,包含两个变量:Population(城市人口数量)与 Profit(利润)。目标是建立二者之间的线性关系模型

active 2025-10-28 → 2025-10-28 (UTC)

Complete coverage28,187 / 28,187 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-01 (UTC)
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Line chart, 1 days from 2025-10-28 to 2025-10-28. Pushes: 2 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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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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karsadin2200

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