House price prediction is a classic problem in the field of machine learning and data analysis. In this analysis, we will use the Linear Regression algorithm to predict house prices based on a single variable, typically an attribute that has a strong correlation with the target variable (price). Linear Regression aims to establish a linear relationship between the input variable and the target variable.

• Python
• Machine learning

• Download the dataset from Google Drive.

• The above prediction says that, if the area of the house is 3300(sqr ft) then the price of the house will be 628715.75342466(US $)