diff --git a/7.5/__pycache__/datas.cpython-312.pyc b/7.5/__pycache__/datas.cpython-312.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..779d9e27d345705c5486bbec18da4744f6858016
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..5a56bcf2b8b74999a58ffb7d01b881d1038bda90
--- /dev/null
+++ b/7.5/datas.py
@@ -0,0 +1,76 @@
+datas=[
+    {
+        "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": 135,
+        "rooms": 3,
+        "school": 1,
+        "style": 1,
+        "price": 8300
+    },
+    {
+        "city":"吕梁",
+        "area":110,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":8200
+    },
+    {
+        "city": "吕梁",
+        "area": 130,
+        "rooms": 3,
+        "school": 2,
+        "style": 2,
+        "price": 6500
+    },
+    {
+        "city": "吕梁",
+        "area": 140,
+        "rooms": 3,
+        "school": 1,
+        "style": 1,
+        "price": 8600
+    },
+    {
+        "city": "太原",
+        "area": 110,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 8200
+    },
+    {
+        "city": "太原",
+        "area": 130,
+        "rooms": 3,
+        "school": 2,
+        "style": 2,
+        "price": 6500
+    },
+    {
+        "city": "太原",
+        "area": 140,
+        "rooms": 3,
+        "school": 1,
+        "style": 1,
+        "price": 8600
+    },
+]
+#a1*1+a2*2+a3*3+a4*4+a5*5
+#[a1,a2,.....]
\ No newline at end of file
diff --git a/7.5/predict.py b/7.5/predict.py
new file mode 100644
index 0000000000000000000000000000000000000000..f0e9faa49b1cc12c14f18900522a3a5281c41f39
--- /dev/null
+++ b/7.5/predict.py
@@ -0,0 +1,18 @@
+import numpy as np
+from datas import datas
+X=[]
+Y=[]
+cityMark={"吕梁":1,"太原":2}
+for item in datas:
+    signal=[]
+    signal.append(cityMark[item["city"]])
+    signal.append(item["area"])
+    signal.append(item["rooms"])
+    signal.append(item["school"])
+    signal.append(item["style"])
+    X.append(signal)
+    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])))