This use case regards predicting the price of a house using machine learning basics. In this example, a person is planning to sell his house but is unable to decide on a selling price. Problem statement - “predict the price of a house using machine learning basics, implemented in Python.” Which algorithm should you use for this use case?. 🔥 Edureka Machine Learning Certification training (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/masters-program. Airbnb Price Prediction Using Machine Learning and Sentiment Analysis. Pricing a rental property on Airbnb is a challenging task for the owner as it determines the number of customers for the place. On the other hand, customers have to evaluate an offered price with minimal knowledge of an optimal value for the property. This paper aims to. House Price Prediction Using Machine Learning and Neural Networks Abstract: Real estate is the least transparent industry in our ecosystem. Housing prices keep changing day in and day out and sometimes are hyped rather than being based on valuation. Predicting housing prices with real factors is the main crux of our research project. Predict. Now that we’ve trained our regression model, we can use it to predict new output values on the basis of new input values. To do this, we’ll call the predict () method with the input values of the test set, X_test. (Again: we need to reshape the input to a 2D shape, using Numpy reshape .) Let’s do that:.