MOBILE SALES ANALYSIS AND PREDICTION USING DATA SCIENCE

This project explores the application of data science techniques to analyse and predict mobile phone sales trends. With the rapid growth of the of the smartphone industry and increasing consumer choices, understanding sales patterns has become essential for manufacture, retailers, and marketers to make informed business decisions. The study involves collecting historical sale data along with relevant feature such as brand, price, range, specification (RAM, storage, camera, battery), customer rating, and seasonal trends. Exploratory data analysis (EDA) is performed to identify key factors infusing sales performance, followed by data preprocessing technique including handling missing values, incoding categorical variables, and feature scaling.