Comparison of different classification algorithms for the purpose of finding the best machine learning algorithm for mobile price prediction. This repository comprises of the dataset which has been used , the python notebook file which comprises of the project code , and a project paper.
Dataset Link: https://www.kaggle.com/iabhishekofficial/mobile-price-classification?select=train.csv
Python Notebook file: The notebook file consists of the machine learning code exhibited comprising of the classification models. The models used are Logistic Regression, Support Vector Machine, XGBoost, Decision Trees, K-Nearest Neighbors.
Project Paper: The project paper comprises of an abstract, literature review, methodology, results, futurework, references, and conclusion.