# Develop a python program that predicts the housing prices in variou...

## Question

Develop a python program that predicts the housing prices in various counties using linear regression.

## Solution Preview

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#   Importing required packages
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error
from sklearn.metrics import r2_score

#   This class contains various methods performing
#       - Reading data from file.
#       - Printing summary of the data
#       - Plotting data
#       - Fitting linear regression to predict house price of a county
class HousePriceLinearRegression:

#   Default constructor of the class,
#   it calls read_data method to get data from excel.
def __init__(self):

#   This method reads excel file, and stores the data in the instance variable.
skiprows=7)

#   This method displays the summary of the data
def print_summary(self):
try:
except:
print("Data is not available")

#   This method takes x, y, and predicted data as the required features,
#   and plots the scatter plot and fitted line on the plot.
def plot_data(self, x_data, y_data, pred, xlab="CA", ylab="Alameda"):
plt.scatter(x_data, y_data...

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