Found 62 repositories(showing 30)
mbsoroush
This project it about predicting the price range of a mobile phone by building a model that takes into account various features provided in the dataset.
im45145v
No description available
akii180499
In this project we used feature selection algorithm in order to determine the price of the mobiles. This was our major project
Akshat-Saxena
Supervised Machine learning to predict the price of the mobile
Frontend code for mobile price prediction
Jaya1701madhu
Mobile price prediction is a machine learning task that builds a model to predict a mobile phone's price range based on its features like RAM, battery, storage, camera, screen size, and other specifications.
itsbalihere
this is a mobile price prediction model but note this is for prictic not a real world project
kotesh1234
No description available
manavgakhar
Mobile Price Prediction Dataset from Kaggle
GiravenaSreeja
No description available
Manojkhandelia24
No description available
Simr96
No description available
thanhleesenpai
No description available
Pragaeasu5
No description available
samarla
No description available
jayesh-marathe
No description available
rammalali
No description available
adimalhotra11
Predicts price Prediction Using Random Forest Regressor
achalurs
🧠 Predict mobile phone prices using Machine Learning and Streamlit | Accuracy: 96.5% | Created by Achal Urs S
praneethramk
No description available
Ipriyankrajai
No description available
Nikhilpoloju
This project predicts the price range of mobile phones using machine learning models built in R. The dataset includes various mobile specifications (RAM, battery power, screen size, etc.) and a target label — price range (0–3), representing increasing price categories.
RTRenjith
No description available
Namraa310806
No description available
ajithcl
Model for finding the relationship between phone components and price range of mobile phones,
Nayemur-Shahriar
No description available
SumukhaVenkatesh
No description available
VellankiSaiKiran
Predicted the price of mobiles with the help mobile features like RAM & ROM .
ravinnd3
No description available
angadsidhu02
Mobile Price Prediction within a range that is 0,1,2,3 using logistic regression (Classification). It uses many input features for example battery health, 4g or 3g, wifi , clock speed, memory etc. It will be helpful to provide a range into the price of the mobile. 0: very low priced, 1: low priced, 2: medium priced, 3: High priced.