💫 About Me:

🌐 Blockchain Enthusiast | Aspiring Web3 Developer | JR Blockchain Dev

🚀 On a journey to master the art of blockchain and web3 technologies while contributing to the decentralized future. 🌟

As a JR Blockchain Dev, I'm committed to honing my skills in blockchain development, driven by a passion for revolutionary technology. I thrive on learning, staying up-to-date with the latest trends, and actively contributing to this transformative space.

My educational foundation, including the completion of Patrick Collins' Full Course for Foundry and Blockchain Development, serves as a stepping stone to my ongoing journey. I'm not just a student; I'm a builder, exploring the limitless potential of DApps and the web3 ecosystem.

Join me on this exciting adventure as we shape the future of blockchain and web3 technology. Together, we'll redefine the digital landscape and build a decentralized tomorrow that empowers everyone.

Let's code, innovate, and decentralize! 🌐🚀

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Kaccatur's Projects

awesome-css-learning

A tiny list limited to the best CSS Learning Resources

cs-video-courses

List of Computer Science courses with video lectures.

device-failure-analysis

To build a predictive model using machine learning to predict the probability of a device failure. When building this model, be sure to minimize false positives and false negatives. The column you are trying to Predict is called failure with binary value 0 for non-failure and 1 for failure.

easy2pay

dApp for faciitating p2p payments in different tokens (for a fixed value) | Built with Scaffold-ETH 2 | Hardhat and Next.js

effective-targetting-of-advertisments

A Machine Learning project which will help us to predict the number of clicks on a particular ad on the websites.

first_dapp

I made my first dApp with the help of LearnWeb3DAO and it was fun to learn

grip_tsp

The Sparks Foundation - GRIP Data Science & Business Analytics Intern Task 1: Prediction using Supervised Machine Learning Predict the percentage of an student based on the number of study hours. Find the predicted score if a student studies for 9.25 hrs/day. This is a simple linear regression task as it involves just two variables.

ml-basics

Exercise notebooks for Machine Learning modules on Microsoft Learn

quillaudit_auditor_roadmap

This repository contains a mindmap and stepwise resource to get started with Smart Contract Auditing. If you find anything missing or want to update existing resources, feel free to create a pull request.

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