Context: Bob has started his own mobile company. He wants to give tough fight to big companies like Apple,Samsung etc.
He does not know how to estimate price of mobiles his company creates. In this competitive mobile phone market you cannot simply assume things. To solve this problem he collects sales data of mobile phones of various companies.
Bob wants to find out some relation between features of a mobile phone(eg:- RAM,Internal Memory etc) and its selling price. But he is not so good at Machine Learning. So he needs your help to solve this problem.
In this problem you do not have to predict actual price but a price range indicating how high the price is
This is the API of mobile price classification project. the data is not included here, just the model and frontend of the API.
This project is ready to be deployed.
if you are intrested in seeing the amazing work done on the data, you should check out the notebook on kaggle: notebook link on kaggle: https://www.kaggle.com/code/adhammostafa/epsilon-ai-graduation
if you are intrested in quick walkthrough the project, please check out the video on youtube: video link: