Add files via upload

Author: aman64039

2Bostondata.py

@@ -0,0 +1,71 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Created on Fri Jun 28 16:18:11 2019
+
+@author: aman
+"""
+
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+
+#from pandas.plotting import scatter_matrix
+
+
+dataset=pd.read_csv("/home/aman/ML/DataSet/housing.csv")
+dataset.head()
+
+X = dataset.iloc[:,[0,1,2,3,4,5,6,7,9]].values
+y = dataset.iloc[:,8].values
+
+#pd.plotting.scatter_matrix(dataset)
+
+
+dataset.isnull().sum()
+
+
+#dataset["total_bedrooms"].isnull().sum()
+
+
+
+
+from sklearn.preprocessing import Imputer
+im=Imputer(missing_values="NaN",strategy="median")
+X[:,[4]]=im.fit_transform(X[:,[4]])
+
+from sklearn.preprocessing import LabelEncoder
+lib=LabelEncoder()
+X[:,8]=lib.fit_transform(X[:,8])
+
+from sklearn.preprocessing import OneHotEncoder
+one =OneHotEncoder(categorical_features=[8])
+X=one.fit_transform(X)
+X = X.toarray()
+
+
+from sklearn.linear_model import LinearRegression
+linreg=LinearRegression()
+linreg.fit(X,y)
+linreg.score(X,y)
+
+from sklearn.preprocessing import StandardScaler
+sc=StandardScaler()
+X = sc.fit_transform(X)
+
+
+from sklearn.model_selection import train_test_split
+X_train,X_test,y_train,y_test=train_test_split(X,y)
+
+from sklearn.linear_model import LinearRegression
+lin=LinearRegression()
+lin.fit(X_train,y_train)
+
+
+ypred=lin.predict(X_test)
+
+lin.score(X_test,y_test)
+
+
+from 
+#if radj is negetive then the model you created is not eliiglible for the prediction