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This project aims to detect fraudulent transactions in the Ethereum blockchain using machine learning algorithms. Fraud detection is crucial for maintaining the integrity and security of the blockchain, and can help prevent financial losses due to fraudulent activity.

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fraud-detection fraud-prevention ml fraudulent-transactions

etherium-fraud-detection's Introduction

Keshav25-2002

Hello and welcome to my GitHub profile! I'm Keshav, a software developer, pursued my Bachelor's degree in Computer Applications. While I may be relatively new to the world of data science & Web Development, I am excited about the potential of this field to transform industries and improve people's lives.

Although I am still learning, I have a strong foundation in programming languages such as HTML,CSS,BS5,JavaScript, Python, ML,Natural Language Processing,MongoDB,Mysql server, and Deep Learning. I have completed several courses on data analysis and machine learning. I am eager to continue building my skills and knowledge in these areas, and I am excited about the prospect of contributing to meaningful data science projects.

As a student, I am used to working hard and collaborating with others, and I am excited to connect with like-minded individuals in the data science community. I am always looking for opportunities to learn and grow, and I am eager to take on new challenges.

Thank you for visiting my profile, and please feel free to reach out to me if you have any questions or would like to collaborate on a project. I look forward to connecting with you!

Skills: Python / Machine Learning / Deep Learning / NLP / Feature Engineering

๐Ÿ’ซ About Me:

๐Ÿ”ญ Iโ€™m currently working on Full Stack Web DEv Projects

๐ŸŒ Socials:

LinkedIn

Git Stats

๐Ÿ’ป Tech Stack:

Languages:

c cplusplus python

Data Scraping:

bs selenium

Databases:

sqlite mysql

ML/DL:

numpy pandas matplotlib seaborn scikit_learn pyspark nltk tensorflow pytorch tensorflow

Frameworks:

django flask

Clouds:

gcp heroku

Softwares:

git anaconda

Web Development:

html5 css3 php

๐Ÿ“Š GitHub Stats:



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