From 7206c0fe458e80cefb9970a51335a030f268e5f9 Mon Sep 17 00:00:00 2001
From: Parvezi123 <39627199+Parvezi123@users.noreply.github.com>
Date: Sun, 20 Oct 2019 11:38:48 +0530
Subject: [PATCH] Create LinearRegression_Parvezi123.py

---
 LinearRegression_Parvezi123.py | 39 ++++++++++++++++++++++++++++++++++
 1 file changed, 39 insertions(+)
 create mode 100644 LinearRegression_Parvezi123.py

diff --git a/LinearRegression_Parvezi123.py b/LinearRegression_Parvezi123.py
new file mode 100644
index 0000000..e8e0aab
--- /dev/null
+++ b/LinearRegression_Parvezi123.py
@@ -0,0 +1,39 @@
+#Import the libraries required
+import numpy as np
+import matplotlib.pyplot as plt
+import pandas as pd
+
+#Importing the excel data 
+dataset = pd.read_excel('D:\MachineLearing\Machine Learning A-Z Template Folder\Part 2 - Regression\Section 4 - Simple Linear Regression\CricketChirpsVs.Temperature.xls')
+
+x = dataset.iloc[:, :-1].values
+y = dataset.iloc[:, 1].values
+
+#Split the data into train and test dataset
+from sklearn.cross_validation import train_test_split
+x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=1/3,random_state=42)
+
+#Fitting Simple Linear regression data model to train data set
+from sklearn.linear_model import LinearRegression
+regressorObject=LinearRegression()
+regressorObject.fit(x_train,y_train)
+
+#predict the test set
+y_pred_test_data=regressorObject.predict(x_test)
+
+
+# Visualising the Training set results in a scatter plot
+plt.scatter(x_train, y_train, color = 'red')
+plt.plot(x_train, regressorObject.predict(x_train), color = 'blue')
+plt.title('Cricket Chirps vs Temperature (Training set)')
+plt.xlabel('Cricket Chirps (chirps/sec for the striped ground cricket) ')
+plt.ylabel('Temperature (in degrees Fahrenheit)')
+plt.show()
+
+# Visualising the test set results in a scatter plot
+plt.scatter(x_test, y_test, color = 'red')
+plt.plot(x_train, regressorObject.predict(x_train), color = 'blue')
+plt.title('Cricket Chirps vs Temperature (Test set)')
+plt.xlabel('Cricket Chirps (chirps/sec for the striped ground cricket) ')
+plt.ylabel('Temperature (in degrees Fahrenheit)')
+plt.show()