diff --git a/7.5/__pycache__/datas.cpython-312.pyc b/7.5/__pycache__/datas.cpython-312.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..e75cd804250d35e30bfd5e4a63407b8fb4dd3063
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..dc4384ee7a0fd4da4903e6ccc55ccec5697f4928
--- /dev/null
+++ b/7.5/datas.py
@@ -0,0 +1,58 @@
+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":8000,
+},
+{
+    "city":"太原",
+    "area":"100",
+    "rooms":"2",
+    "school":"1",
+    "style":"1",
+    "price":8000,
+},
+{
+    "city":"吕梁",
+    "area":"200",
+    "rooms":"2",
+    "school":"1",
+    "style":"0",
+    "price":9000,
+},
+{
+    "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":8000,
+},
+{
+    "city":"吕梁",
+    "area":"100",
+    "rooms":"2",
+    "school":"1",
+    "style":"1",
+    "price":8000,
+}
+]
\ No newline at end of file
diff --git a/7.5/predict.py b/7.5/predict.py
new file mode 100644
index 0000000000000000000000000000000000000000..ce599595853ef371aa098a083a5d7581dcaf012b
--- /dev/null
+++ b/7.5/predict.py
@@ -0,0 +1,29 @@
+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, dtype=float)
+Y = np.array(Y, dtype=float)
+print(X)
+print(Y)
+theta = np.linalg.pinv(X.T.dot(X)).dot(X.T).dot(Y)
+print(theta)
+
+prediction = theta.dot(np.array([2, 100, 2, 1, 1]))
+print(prediction)