In this project, I have created simple model which predict the price of the house on the basis of it's area.

Using machine learning Algorithms to predict house prices as a way to discover investment opportunities

House price prediction involves analyzing data points to estimate the value of a residential property using statistical techniques such as regression analysis and machine learning algorithms. It is useful for both buyers and sellers in making informed decisions based on market trends and property values.

Python linear regression model for predicting housing prices.

In this notebook, I extensively use plotly along with seaborn and matplotlib for data visualization and Machine learning Algorithms to 'predict house prices in Ames'.