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:
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.
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = pd.read_csv("C:\\Users\\Ashish Gupta\\Desktop\\Python\\DATA copy\\Ames_Housing_Data.csv")