Day_039_HW.ipynb

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    "## [作業重點]\n",
    "清楚了解 L1, L2 的意義與差異為何，並了解 LASSO 與 Ridge 之間的差異與使用情境"
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   "source": [
    "## 作業"
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    "請閱讀相關文獻，並回答下列問題\n",
    "\n",
    "[脊回歸 (Ridge Regression)](https://blog.csdn.net/daunxx/article/details/51578787)\n",
    "[Linear, Ridge, Lasso Regression 本質區別](https://www.zhihu.com/question/38121173)\n",
    "\n",
    "1. LASSO 回歸可以被用來作為 Feature selection 的工具，請了解 LASSO 模型為什麼可用來作 Feature selection\n",
    "2. 當自變數 (X) 存在高度共線性時，Ridge Regression 可以處理這樣的問題嗎?\n"
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   "source": [
    "可以！但與Lasso一樣要找到適合的alpha，而且在高度貢獻性時Ridge Regression的效果比較好"
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