diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..4c3f3e8ac229f085dc25577e25776800fece6f32
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,2 @@
+# created by virtualenv automatically
+*
diff --git a/1.py b/1.py
new file mode 100644
index 0000000000000000000000000000000000000000..bb135e44853ddcf4176051f6467fc28c584dab76
--- /dev/null
+++ b/1.py
@@ -0,0 +1,34 @@
+import numpy as np
+import pandas as pd
+from sklearn.datasets import load_boston
+from sklearn.model_selection import train_test_split
+from sklearn.linear_model import LinearRegression
+from sklearn.metrics import mean_squared_error
+
+# 加载波士顿房价数据集
+boston = load_boston()
+X = boston.data
+y = boston.target
+
+# 将数据转换为DataFrame格式，方便查看
+df = pd.DataFrame(X, columns=boston.feature_names)
+df['PRICE'] = y
+
+# 划分训练集和测试集
+X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
+
+# 创建并训练线性回归模型
+model = LinearRegression()
+model.fit(X_train, y_train)
+
+# 预测测试集的价格
+y_pred = model.predict(X_test)
+
+# 计算均方误差
+mse = mean_squared_error(y_test, y_pred)
+print(f'Mean Squared Error: {mse}')
+
+# 使用模型预测一个样本的价格
+sample = X_test[0]
+predicted_price = model.predict([sample])
+print(f'Predicted Price for the sample: {predicted_price[0]}')
\ No newline at end of file
diff --git a/pyvenv.cfg b/pyvenv.cfg
new file mode 100644
index 0000000000000000000000000000000000000000..f70ecc84312fc0226e0a70f412e2f7ecbd439b3e
--- /dev/null
+++ b/pyvenv.cfg
@@ -0,0 +1,8 @@
+home = D:\Python
+implementation = CPython
+version_info = 3.13.0.beta.3
+virtualenv = 20.24.5
+include-system-site-packages = false
+base-prefix = D:\Python
+base-exec-prefix = D:\Python
+base-executable = D:\Python\python.exe