From 2af79ce27dc04f2b73071a910809fbc94e1ddcfa Mon Sep 17 00:00:00 2001
From: ada <ada.fan@musical.ly>
Date: Tue, 7 Aug 2018 12:47:12 +0800
Subject: [PATCH 1/2] add md file for Day3

---
 Code/Day3_Multiple_Linear_Regression.md | 54 +++++++++++++++++++++++++
 1 file changed, 54 insertions(+)
 create mode 100644 Code/Day3_Multiple_Linear_Regression.md

diff --git a/Code/Day3_Multiple_Linear_Regression.md b/Code/Day3_Multiple_Linear_Regression.md
new file mode 100644
index 0000000..792bb0d
--- /dev/null
+++ b/Code/Day3_Multiple_Linear_Regression.md
@@ -0,0 +1,54 @@
+# 多元线性回归
+
+
+<p align="center">
+  <img src="https://github.com/MachineLearning100/100-Days-Of-ML-Code/blob/master/Info-graphs/Day%203.png">
+</p>
+
+
+## 第1步: 数据预处理
+
+### 导入库
+```python
+import pandas as pd
+import numpy as np
+```
+### 导入数据集
+```python
+dataset = pd.read_csv('50_Startups.csv')
+X = dataset.iloc[ : , :-1].values
+Y = dataset.iloc[ : ,  4 ].values
+```
+
+### 将类别数据数字化
+```python
+from sklearn.preprocessing import LabelEncoder, OneHotEncoder
+labelencoder = LabelEncoder()
+X[: , 3] = labelencoder.fit_transform(X[ : , 3])
+onehotencoder = OneHotEncoder(categorical_features = [3])
+X = onehotencoder.fit_transform(X).toarray()
+```
+
+### 躲避虚拟变量陷阱
+```python
+X = X[: , 1:]
+```
+
+### 拆分数据集为训练集和测试集
+```python
+from sklearn.cross_validation import train_test_split
+X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size = 0.2, random_state = 0)
+```
+## 第2步： 在训练集上训练使用多元线性回归模型
+```python
+from sklearn.linear_model import LinearRegression
+regressor = LinearRegression()
+regressor.fit(X_train, Y_train)
+```
+
+## Step 3: 在测试集上预测结果
+```python
+y_pred = regressor.predict(X_test)
+```
+
+

From f333040f6e0ad445dc09ebce66133202839fb659 Mon Sep 17 00:00:00 2001
From: ada <ada.fan@musical.ly>
Date: Tue, 7 Aug 2018 12:48:53 +0800
Subject: [PATCH 2/2] update md file

---
 Code/Day3_Multiple_Linear_Regression.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Code/Day3_Multiple_Linear_Regression.md b/Code/Day3_Multiple_Linear_Regression.md
index 792bb0d..adfcbf5 100644
--- a/Code/Day3_Multiple_Linear_Regression.md
+++ b/Code/Day3_Multiple_Linear_Regression.md
@@ -39,7 +39,7 @@ X = X[: , 1:]
 from sklearn.cross_validation import train_test_split
 X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size = 0.2, random_state = 0)
 ```
-## 第2步： 在训练集上训练使用多元线性回归模型
+## 第2步： 在训练集上训练多元线性回归模型
 ```python
 from sklearn.linear_model import LinearRegression
 regressor = LinearRegression()