Mobile Price Prediction using Ml

Keywords: Mobile Price Prediction, Machine Learning, Algorithms, Prediction

Background

Mobile price classification is a crucial task in machine learning and data analysis, as it aims to predict the price range of a mobile phone based on its features. However, with the ever-growing diversity and complexity of mobile phones in the market, accurately determining the appropriate price range has become increasingly challenging. To address this issue, the abstract introduces a mobile price classification system that leverages machine learning algorithms to predict the price range of mobile phones.

Aim & Objectives

Aim
To categorize mobile phones based on their prices, enabling consumers to make informed purchasing decisions.
Objective
• Data Cleaning and checking the null values
• Checking the outliers and imputation
• Data visualization
• Building the machine learning model
• Hyper parameter tuning

Research Methodology

Classification Algorithms like KNN, SVM, DT, AdaBoost

Software & Tools

Jupyter, Google Collab

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