adarsh-jha Goto Github PK
Name: Brown_Baluc
Type: User
Name: Brown_Baluc
Type: User
Code for the 2023 Amazon ML Challenge
An automated web scrapper that retrieves data from HTML tables on websites and concatenates them with a pre-existent CSV file.
Blockchain for File integrity check
Collection of LeetCode questions i've done
Training and realtime object detection using YoloV7
For Flipkart Grid 4.0
This code can be use to find an optimal weighting allocation across S&P500 stocks over a historical lag period. It is setup to download most recent s&p500 data (this step can be commented out) and optimize historical day to yesterday's date (yesterday would be an out-of-sample date) The Algorithm takes each stock, within the s&p 500, and submits the following limit orders: 1) Bid Limit order: mean-alpha std deviations 2) Off Limit order: mean+alpha std deviations The historical performance of each bidding strategy over the past 'hist_lag' period is treated as individual strategy within a portfolio basket of strategies. The algorithm assigns a weighting, between 0 and 1, to each individual strategy, so that the Mean-Variance criteria over the entire portfolio basket of strategies is optimized. This code applies a unique approach to this optimization (see optimization section), using ideas from dynamic programming, to quickly compute the optimization of a large portfolio matrix The optimal allocation, determine over the previous hist_lag period, is then applied the next day 'out of sample'. This procedure is iteratively backtested from the 'begin_date' to the 'end_date'; the daily % return performance is computed and stored.
A smart cart that, based on past order history, can predict future orders and create a smart order basket for the customer - selecting the items required in advance and enabling a faster buying experience.
During my Virtual Training with JP Morgan I worked on an interface with a stock price data feed of two stocks that can be used to compare the stocks.
Machine learning approach to predict the engagement score of the video on the user level without any data points regarding the video/content itself
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.