House rent prediction with machine learning

In recent times, finding the ideal housing option according to budget and preferences is such a hassle. The cost of house rent depends on many factors such as; the house size, number of bedrooms, locality, number of bathrooms, halls, and kitchen, furnishing status, and a lot more. With the use of appropriate machine learning algorithms, real estate owners can find the ideal house according to customers’ budgets and preferences with ease. The goal of this project is to: I. Implement a machine learning model capable of predicting the house rent for homes. <a href="https://medium.com/mlearning-ai/house-rent-prediction-with-machine-learning-2960d753e3ca">Website</a>