To predict the price of the laptop as per the given configuration is the motive of this research work. If any student, working professional or in laptop manufacturing document process work this model will predict the price by their desired hardware specification. To achieve the best result did lot a of data cleaning, feature engineering, and EDA and also tried different regressors and classifiers. Result is compared in terms of market price and predicted price, difference between both will be less and accuracy should be high. This kind of machine learning model can be useful in many ways, for students, professional.
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Charde et al. (2022) studied this question.
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