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The purpose of this project is to create a database that provides the fund management firm with the strategies to filter their clients based on their portfolio and investment interests in order to propose an optimal investment plan.
The goal of our project is to predict the application status of H-1B applicants based on existing data. We have used Random Forest, Gradient Boosting, and DNN algorithms to predict our result and also compared the performance of these models.
AWS Step function/docker/python performance/GCP de-identification
Segmenting customers into different categories, Building a dynamic pricing model and demanding forecasting, Predicting the next purchase date, Building the dashboard for the Nike marketinfg team
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.