Day_033_HW.ipynb

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    "## 練習時間"
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    "請觀看李宏毅教授以神奇寶貝進化 CP 值預測的範例，解說何謂機器學習與過擬合。並回答以下問題"
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    "[youtube](https://www.youtube.com/watch?v=fegAeph9UaA)"
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    "### 1. 模型的泛化能力 (generalization) 是指什麼？ \n",
    "### 2. 分類問題與回歸問題分別可用的目標函數有哪些？"
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    "1. 泛化能力就是是否有能理處利未知的問題的能力。如果只能預測訓練時的資料，卻無法預測沒訓練過的資料時就達overfitting，失去了泛化能力 \n",
    "\n",
    "2. 目標函數(Loss function) MSE、MAE、cross entropy、"
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