Mobile Price Classification is a machine learning project that predicts the price range of a mobile phone based on various features such as battery power, RAM, internal memory, etc. This project involves building and training machine learning models using classification algorithms.

Kaggle notebook link: https://www.kaggle.com/ranodeepbanerjee/mobile-price-classification

The dataset used for this project is publicly available on Kaggle and can be accessed at the following link: https://www.kaggle.com/iabhishekofficial/mobile-price-classification.

The following libraries are used in this project:

• pandas
• numpy
• matplotlib
• seaborn
• sklearn

Mobile Price Classification is an interesting machine learning project that involves building and training classification models to predict the price range of a mobile phone. Through this project, I have learned how to preprocess and visualize data, train and test various machine learning models, and evaluate the performance of the models.