Supervised Machine Learning Analysis Using Classification Models

Mobile Price Prediction uses machine learning to estimate smartphone price ranges based on features like RAM, battery, camera, storage, and connectivity, helping users and businesses make informed pricing decisions.

All the assignments I did at HUFLIT in Machine Learning

Design and Train the Perceptron (MLP) model with Mobile price Dataset (Classification Project)

My implementations for the Artificial Intelligence projects at Mugla Sitki Kocman University

In the Mobile Price Classification project, I built a predictive model to categorize mobile phones into different price ranges based on their features by applying machine learning techniques.

A simple mobile price prediction classifier

📱 Predict smartphone prices using machine learning based on features like RAM, battery, camera, and storage to support informed pricing decisions.

Here we use basic ML models to learn from already categorized mobile phone prices and then predict prices of mobile phones not introduced to its learning scheme.

mobile-price-prediction-using-svm

Practicing dockers using a simple ML model

Machine learning project to classify mobile phone prices based on hardware specifications like RAM, battery, and processor.

A beginner-friendly Machine Learning project using K-Nearest Neighbors (KNN) to classify mobile phones into low, medium, and high price ranges based on RAM, storage, and battery.

Mobile Price Prediction

Mobile Price Prediction using KNN