From 79beebdb567ff8c06f5ec27990e16dadf64f5898 Mon Sep 17 00:00:00 2001
From: unknown <2102736938@qq.com>
Date: Fri, 5 Jul 2024 18:38:38 +0800
Subject: [PATCH] =?UTF-8?q?=E5=A7=9A=E7=BF=94=E5=AE=87=E7=9A=84=E4=BD=9C?=
 =?UTF-8?q?=E4=B8=9A?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 7.5/datas.py   | 161 +++++++++++++++++++++++++++++++++++++++++++++++++
 7.5/predict.py |  38 ++++++++++++
 2 files changed, 199 insertions(+)
 create mode 100644 7.5/datas.py
 create mode 100644 7.5/predict.py

diff --git a/7.5/datas.py b/7.5/datas.py
new file mode 100644
index 0000000..1bab1ab
--- /dev/null
+++ b/7.5/datas.py
@@ -0,0 +1,161 @@
+#经验就是来源于数据
+#大数据    爬虫
+#模拟太原和吕梁房价
+#怎么模拟    城市   面积   户型   是不是学区房 1,2   装修风格 1,2
+datas=[
+    #模拟的吕梁的第一类房子
+    {
+        "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
+    },
+    #第二类房子
+{
+        "city":"吕梁",
+        "area":130,
+        "rooms":3,
+        "school":1,
+        "style":1,
+        "price":8500
+    },
+{
+        "city":"吕梁",
+        "area":130,
+        "rooms":3,
+        "school":1,
+        "style":1,
+        "price":8300
+    },
+{
+        "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":7800
+    },
+    #第三类房子
+{
+        "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":8200
+    },
+{
+        "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
+    },
+    #太原的第一类房子
+{
+        "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
+    },
+{
+        "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":7800
+    },
+    #第二类
+{
+        "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":8200
+    },
+{
+        "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
+    },
+    #第三类
+{
+        "city":"太原",
+        "area":150,
+        "rooms":2,
+        "school":2,
+        "style":2,
+        "price":8300
+    },
+{
+        "city":"太原",
+        "area":130,
+        "rooms":2,
+        "school":2,
+        "style":2,
+        "price":8200
+    },
+{
+        "city":"太原",
+        "area":140,
+        "rooms":3,
+        "school":2,           #3000+1400+3000+2600+3000
+        "style":2,
+        "price":8600
+    },
+#  3000    10   1000   1300   1500
+#  太原2   100    3      1      1
+#  城市x1    面积x2    房间数量x3    学区房x4    装修x5
+#  a1x1+a2x2+a3x3+a4x4+a5x5=y
+#  数据模型   机器学习   机器学习软件开发
+]
\ No newline at end of file
diff --git a/7.5/predict.py b/7.5/predict.py
new file mode 100644
index 0000000..e7a8656
--- /dev/null
+++ b/7.5/predict.py
@@ -0,0 +1,38 @@
+#先安装一个科学计算的框架  pip install numpy
+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([2,100,2,1,1])))
+
+
+
+
+
+
+
+a=np.array([[1,2,3],[1,2,3],[1,2,3]])
+b=np.array([1,2,3])
+#奇异矩阵
+#求    点乘    转置    逆
+print(a.T)
+print(a.dot(b))
+print(np.linalg.pinv(a))
\ No newline at end of file
-- 
Gitee