Update 汽车价格预测任务

5 years ago · c1d87828ce
parent c574510d5b
commit c1d87828ce
5 changed files with 2 additions and 0 deletions
--- a/notebook_必备数学基础/.ipynb_checkpoints/案例：汽车价格预测任务-checkpoint.ipynb
+++ b/notebook_必备数学基础/.ipynb_checkpoints/案例：汽车价格预测任务-checkpoint.ipynb
@ -3596,6 +3596,7 @@
    "      \"features and eliminated the other\"+ \\\n",
    "     str(sum(coefs == 0)) + \"features.\")\n",
    "\n",
    "#只看头5个和尾5个\n",
    "coefs = pd.concat([coefs.sort_values().head(5), coefs.sort_values().tail(5)])\n",
    "\n",
    "plt.figure(figsize=(10,4))\n",
--- a/notebook_必备数学基础/回归分析章节/auto_data.csv
+++ b/notebook_必备数学基础/回归分析章节/auto_data.csv
--- a/notebook_必备数学基础/回归分析章节/statsmodels回归分析.ipynb
+++ b/notebook_必备数学基础/回归分析章节/statsmodels回归分析.ipynb
--- a/notebook_必备数学基础/回归分析章节/案例：汽车价格预测任务.ipynb
+++ b/notebook_必备数学基础/回归分析章节/案例：汽车价格预测任务.ipynb
@ -3596,6 +3596,7 @@
    "      \"features and eliminated the other\"+ \\\n",
    "     str(sum(coefs == 0)) + \"features.\")\n",
    "\n",
    "#只看头5个和尾5个\n",
    "coefs = pd.concat([coefs.sort_values().head(5), coefs.sort_values().tail(5)])\n",
    "\n",
    "plt.figure(figsize=(10,4))\n",
--- a/notebook_必备数学基础/回归分析章节/高阶与分类变量实例.ipynb
+++ b/notebook_必备数学基础/回归分析章节/高阶与分类变量实例.ipynb