Closed abhisheks008 closed 2 years ago
Name: Jahnavi Pravaleeka Battu GitHub ID: jahnavibattu02 Approach: I will try to implement 3-4 algorithms and compare all the algorithms to find out the best fitting algorithm for the model. What's your participant role: ☑ JWOC 2022 Participant.
Issue assigned to you @jahnavibattu02
ML-Crate Repository (Proposing new issue)
:red_circle: Project Title : Ethereum Fraud Detection :red_circle: Aim : Create a ML model which will detect the real/fake transactions of Eth. :red_circle: Dataset : https://www.kaggle.com/vagifa/ethereum-frauddetection-dataset :red_circle: 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.
Hello, ML-Crate contributors, this issue is only for the contribution purposes and allocated only to the participants of SWOC 2.0 Open Source Program and JWOC '22 Open Source Program.
📍 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.:red_circle::yellow_circle: Points to Note :
:white_check_mark: To be Mentioned while taking the issue :
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎