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@article{158273,
        author = {Parmeshwar Manegopale and Komal Nerpagar and Sanal Sawant and Madhuri Shinde and Kunal Chandarkar},
        title = {Laptop Prediction & Comparison using Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {9},
        pages = {174-179},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=158273},
        abstract = {The laptop price predictor project is a project that aims to predict the price of laptops. The project will be divided into 3 parts, each having its own specific tasks. The first part is to create a model that predicts the price of laptops based on various factors such as the size of screen and CPU speed. The second part is to test this model on real data collected from different websites. Finally the third part is to present our results and discuss how we built this model in order to make it more accurate.

Laptop price predictor is a tool which predicts the price of laptops. it consists of a series of algorithms that predict the price of laptops on the basis of their features and specifications. The results obtained by this project are in close agreement with those obtained using other prediction methods such as neural network and support vector machine (SVM).},
        keywords = {Machine Learning Random Forest},
        month = {},
        }