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diff --git a/0705/datas.py b/0705/datas.py
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+#模拟房价数据
+#怎么模拟 城市 面积 户型 是否是学区房 装修的风格 （维度越多越精准）
+datas=[
+#模拟的吕梁第一类房子
+    {
+        "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":8000
+    },
+{
+        "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":7800
+    },
+{
+        "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":8200
+    },
+#模拟的吕梁第二类房子
+{
+        "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":8500
+    },
+{
+        "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":8300
+    },
+{
+        "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":8600
+    },
+#模拟的吕梁第三类房子
+{
+        "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":6300
+    },{
+        "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":6500
+    },{
+        "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":6600
+    },
+#模拟的太原第一类房子
+    {
+        "city":"太原",
+        "area":100,
+        "rooms":3,
+        "school":1,
+        "style":1,
+        "price":8300
+    },
+{
+        "city":"太原",
+        "area":135,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":8800
+    },
+{
+        "city":"太原",
+        "area":100,
+        "rooms":4,
+        "school":1,
+        "style":2,
+        "price":8200
+    },
+#模拟的太原第二类房子
+{
+        "city":"太原",
+        "area":140,
+        "rooms":2,
+        "school":1,
+        "style":2,
+        "price":10600
+    },
+{
+        "city":"太原",
+        "area":100,
+        "rooms":2,
+        "school":2,
+        "style":1,
+        "price":8300
+    },
+{
+        "city":"太原",
+        "area":100,
+        "rooms":4,
+        "school":1,
+        "style":1,
+        "price":8600
+    },
+#模拟的太原第三类房子
+{
+        "city":"太原",
+        "area":100,
+        "rooms":3,
+        "school":1,
+        "style":2,
+        "price":9300
+    },{
+        "city":"太原",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":6500
+    },{
+        "city":"太原",
+        "area":130,
+        "rooms":4,
+        "school":2,
+        "style":1,
+        "price":8600
+    },
+
+#权重
+#计算各项权重之和来得出房价
+#城市 x1 面积 x2 房间数量 x3 学区房 x4 装修  x5
+#权重 a1 a2 a3 a4 a5
+#a1x1+a2x2+a3x3+a4x4+a5x5=y
+#[a1 a2 a3....]数学模型 机器学习 机器学习软件开发
+]
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diff --git a/0705/predict.py b/0705/predict.py
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+++ b/0705/predict.py
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+#1.先安装一个科学计算的框架 pip install numpy -i  https://pypi.tuna.tsinghua.edu.cn/simple
+import numpy as np
+from datas import datas
+
+X=[]
+Y=[]
+cityMark={"吕梁":1,"太原":2}
+
+for item in datas:
+    single=[]
+    #城市
+    single.append(cityMark[item["city"]])
+    #面积
+    single.append(item["area"])
+    #房间数
+    single.append(item["rooms"])
+    #学区房
+    single.append(item["school"])
+    #装修
+    single.append(item["style"])
+    X.append(single)
+    Y.append(item["price"])
+X=np.array(X)
+Y=np.array(Y)
+
+theta=np.linalg.pinv(X.T.dot(X)).dot(X.T).dot(Y)
+print(theta.dot(np.array([1,120,2,1,1])))
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