diff --git a/7.5/__pycache__/datas.cpython-312.pyc b/7.5/__pycache__/datas.cpython-312.pyc
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Binary files /dev/null and b/7.5/__pycache__/datas.cpython-312.pyc differ
diff --git a/7.5/datas.py b/7.5/datas.py
new file mode 100644
index 0000000000000000000000000000000000000000..74ec37d25780324857a277f1c122da2270ebbe90
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+++ b/7.5/datas.py
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+#模拟太原和吕梁的房价的数据 预测系统
+#怎么模拟 城市 面积 户型 是不是学区房 装修的风格
+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":130,
+        "rooms":3,
+        "school":1,
+        "style":1,
+        "price":8500
+    },
+    {
+        "city": "吕梁",
+        "area": 135,
+        "rooms": 3,
+        "school": 1,
+        "style": 1,
+        "price": 8300
+    },
+    {
+        "city": "吕梁",
+        "area": 140,
+        "rooms": 3,
+        "school": 1,
+        "style": 1,
+        "price": 8600
+    },
+    #模拟的吕梁第三类房子
+    {
+        "city":"吕梁",
+        "area":130,
+        "rooms":3,
+        "school":2,
+        "style":2,
+        "price":6500
+    },
+    {
+        "city": "吕梁",
+        "area": 135,
+        "rooms": 3,
+        "school": 2,
+        "style": 2,
+        "price": 6300
+    },
+    {
+        "city": "吕梁",
+        "area": 140,
+        "rooms": 3,
+        "school": 2,
+        "style": 2,
+        "price": 5600
+    },
+    #模拟的太原第一类房子
+    {
+        "city":"太原",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":10000
+    },
+    {
+        "city": "太原",
+        "area": 100,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 9800
+    },
+    {
+        "city": "太原",
+        "area": 100,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 9200
+    },
+    #模拟的太原第二类房子
+    {
+        "city":"太原",
+        "area":130,
+        "rooms":3,
+        "school":1,
+        "style":1,
+        "price":10500
+    },
+    {
+        "city": "太原",
+        "area": 135,
+        "rooms": 3,
+        "school": 1,
+        "style": 1,
+        "price": 10300
+    },
+    {
+        "city": "太原",
+        "area": 140,
+        "rooms": 3,
+        "school": 1,
+        "style": 1,
+        "price": 10600
+    },
+    #模拟的太原第三类房子
+    {
+        "city":"太原",
+        "area":130,
+        "rooms":3,
+        "school":2,
+        "style":2,
+        "price":8500
+    },
+    {
+        "city": "太原",
+        "area": 135,
+        "rooms": 3,
+        "school": 2,
+        "style": 2,
+        "price": 8300
+    },
+    {
+        "city": "太原",
+        "area": 140,
+        "rooms": 3,
+        "school": 2,
+        "style": 2,
+        "price": 8600
+    },
+]
\ No newline at end of file
diff --git a/7.5/predict.py b/7.5/predict.py
new file mode 100644
index 0000000000000000000000000000000000000000..0b82091cd8053403e0296f24b569c65ba1cab7ea
--- /dev/null
+++ b/7.5/predict.py
@@ -0,0 +1,23 @@
+import numpy as np
+from datas import datas
+X=[]
+Y=[]
+cityMark={"吕梁":1,"太原":2}
+for item in datas:
+    single=[]
+    single.append(cityMark[item["city"]])
+    single.append(item["area"])
+    single.append(item["rooms"])
+    single.append(item["school"])
+    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([2,100,2,1,1])))
+
+
+
+