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3 years ago

Housing Data-Price Prediction

  • In the dataset we have various features which are associated with the proce of a house.

  • In reality, a real estate agent predicts price of a house based on features of house. These include: Lot size, Neighbourhood, Number of bedrooms, Swimming pool, etc.

  • Based on past data of house sells price and features, we build a model to predict price of a house which will help a realtor to predict the price of a house.

Importing Library

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

Importing dataset

df = pd.read_csv("C:\\Users\\Ashish Gupta\\Desktop\\Python\\DATA copy\\Ames_Housing_Data.csv")