Machine learning plays a major role in past years in image detection, spam reorganization, normal speech command, product recommendation, and medical diagnosis. Present machine learning algorithm helps in enhancing security alerts, ensuring public safety, and improve medical enhancements. Machine learning system also provides better customer service and safer automobile systems. Designing an effective machine learning model for the prediction of regression and classification problems is a tedious endeavor. Significant time and expertise are needed to customize the model for a specific problem. A significant way to reduce the complicated design is by using Automated Machine Learning (AML) that can intelligently optimize the best pipeline suitable for a problem or dataset. This study utilizes machine learning algorithms as a research method that develops housing price-prediction models. In that point, a housing cost prediction model to support a house vendor or a real estate agent for better information based on the valuation of the house is recommended.