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Car Price Prediction using DL #339
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Please assign me the issue, I'm working on it ! |
Can you please follow the issue template and share all the information regarding the project. From where you are fetching the dataset, what are the deep learning techniques you are going to use here, what sort of data visualizations should be done, these things should be mentioned while creating an issue. |
Updated! please check. @abhisheks008 |
This issue will be assigned to you @aaviiothic once you complete the assigned one. As per the code of conduct, one issue at a time for each contributor. |
can I work on this? |
Sorry @Nabanita29 as this issue is opened by a contributor, hence he/she will get the priority for working in this issue. You can create issues by your own. |
Hey! I'd like to work on this project. Dataset : https://www.kaggle.com/datasets/mayankpatel14/second-hand-used-cars-data-set-linear-regression Approach : Using KNN, Linear Regression and Random Forest Regressor model to predict the car prices. Full name : Mayank Thakur Approach for this Project : Using KNN and xgb.XGBRegressor, lgb.LGBMRegressor to predict price of cars. |
This project repository consists of projects based on Deep Learning techniques and methods. Try to solve this issue using DL methods not by simple ML methods. |
Hey! I'd like to work on this project. Dataset : https://www.kaggle.com/datasets/mayankpatel14/second-hand-used-cars-data-set-linear-regression Approach : Using ANN with 5-3-1 architecture Full name : Atri Chattopadhyay |
Hi @AtriChatterjee1, I have a suggestion. Can you use both the datasets, which is mentioned in the issue template and the one you used while posting the approach in the comment? That'll be a good combined and strong dataset to work on. Also try to use some different improvised algorithms to make this project unique from a normal ML project in terms of the usage of the models. I'd like to hear from you on this. |
Hi @abhisheks008 Can I take on this issue?I have worked on a similar case to detect house prices before. |
Hi @YashSachan2 can you please share your approach for solving this issue? Please try to use DL models as this repository contains projects which are mainly based on DL. |
Hey @abhisheks008 I would like to work on this. Dataset: https://www.kaggle.com/datasets/hellbuoy/car-price-prediction Approach: Use GRU, LSTM and a regular ANN. Full Name: Nihal T M Contest: SWOC24 |
Hey @abhisheks008 I would like to work on this. Dataset: https://www.kaggle.com/datasets/hellbuoy/car-price-prediction Approach: Use XGBoost, ANN,LSTM or rnn based approaches Full Name: Keshav Arora |
Hi @n1haldev and @CoderOMaster are you guys part of SWOC event? |
Full name : Soumik Banerjee Hi, Abhishek, |
Let the program start officially. Issues will be assigned after that. Till then go through the repository as well as the |
Ok. So how will we know about the assigned issues? |
I guess we will have a communication channel in Discord, through that we can communicate. |
Okay |
Hi @Soumiksb06 would you like to work on this issue based on the approach you have shared earlier? |
Yes sure! |
What will be your approach for solving this issue, what are the models you want to implement? |
I'll use LSTM, RNN, MLP and try others and find out the best fitted algorithm based on accuracy scores. |
Cool. Issue assigned to you @Soumiksb06. I have also updated the issue name, try to focus on DL models/methods instead of basic ML models. |
Yeah sure I mentioned DL models only. How can I contact you? on Linkedin or on Discord? |
Any platform you want. |
Car Price Prediction using DL #339
Deep Learning Simplified Repository (Proposing new issue)
🔴 Project Title : Car Price Prediction
🔴 Aim : Creating a ML project to predict the price of cars which depends on various factors such as brand, mileage, etc.
🔴 Dataset : https://www.kaggle.com/datasets/hellbuoy/car-price-prediction
🔴 Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.
📍 Follow the Guidelines to Contribute in the Project :
requirements.txt
- This file will contain the required packages/libraries to run the project in other machines.Model
folder, theREADME.md
file must be filled up properly, with proper visualizations and conclusions.🔴🟡 Points to Note :
✅ To be Mentioned while taking the issue :
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎
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