Pinned Repositories
helius-ws-client
Simple websockets client to stream all transactions data on a given account using Helius RPC
phoenix-onchain-market-maker
On-chain program that manages user quotes on Phoenix
phoenix-trading-bot
Simple trading bot on Phoenix
pitchdeckuploader
A web application for startups to store their pitch deck and maintain it's version history.
polynifty
A decentralized NFT marketplace to buy and sell ERC721 NFT tokens on Polygon Mainnet.
polynifty-frontend
Front-end of the Polynifty NFT marketplace
react-dapp
savings-account-vault-client
Rust client to interact with the Savings account vaults. Uses Solana non-blocking RPC client.
savings-account-vaults
A simple vaults implementation where user creates saving account vaults for a token and get paid interest on Solana,
Top-5000-Youtube-channels-Data-Engineering
Socialblade is a well known company which maintains statistics of YouTube channels, Instagram accounts and many more. Their website features a page which shows Top 5000 YouTube channels and some basic information about them. I wanted to use those values for performing EDA, so I decided to scrap it. The data contains Socialblade Rankings of top 5000 YouTube channels. The data can be used for finding useful insights and the revealing possible correlations between the features of the channels and their respective rankings. Note: This work is not sponsored by Socialblade and is just one of an outcome of a fun project made using Data Science technologies. The project does not aim at violation of any policies or privacy since the data on the website is publicly available.
mmdhrumil's Repositories
mmdhrumil/Top-5000-Youtube-channels-Data-Engineering
Socialblade is a well known company which maintains statistics of YouTube channels, Instagram accounts and many more. Their website features a page which shows Top 5000 YouTube channels and some basic information about them. I wanted to use those values for performing EDA, so I decided to scrap it. The data contains Socialblade Rankings of top 5000 YouTube channels. The data can be used for finding useful insights and the revealing possible correlations between the features of the channels and their respective rankings. Note: This work is not sponsored by Socialblade and is just one of an outcome of a fun project made using Data Science technologies. The project does not aim at violation of any policies or privacy since the data on the website is publicly available.
mmdhrumil/Basics-of-Data-Science-with-Python
The repository contains notes about basic concepts required to get started with Machine Learning and Data Science.
mmdhrumil/c2c2017
Course material and references for Campus To Corporate course, 2017.
mmdhrumil/VAST-Challenge-2014
VAST Challenge 2014 - Crime case Analysis