Importing Libraries and Dataset

House Price Prediction using Machine Learning

Here we are using

Pandas – To load the Dataframe
Matplotlib – To visualize the data features i.e. barplot
Seaborn – To see the correlation between features using heatmap

Python3

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
 
dataset = pd.read_excel("HousePricePrediction.xlsx")
 
# Printing first 5 records of the dataset
print(dataset.head(5))

Output:

As we have imported the data. So shape method will show us the dimension of the dataset.

Python3

dataset.shape

Output:

(2919,13)

House Price Prediction using Machine Learning in Python

We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on.

Tags:

#python #AI-ML-DS #Machine Learning #Machine Learning #python

House Price Prediction using Machine Learning

Data Preprocessing

Importing Libraries and Dataset

Python3

Python3

House Price Prediction using Machine Learning in Python

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