Topic: statstics Goto Github
Some thing interesting about statstics
Some thing interesting about statstics
statstics,Little python 3 script, take an export file of Revolut and draw some meaningfull plots using plot.ly API, print some informations about the spendings and write a report in Markdown format.
User: atthom
statstics,Machine learning for credit card default. Precision-recalls are calculated due to imbalanced data. Confusion matrices and test statistics are compared with each other based on Logit over and under-sampling methods, decision tree, SVM, ensemble learning using Random Forest, Ada Boost and Gradient Boosting. Easy Ensemble AdaBoost classifier appears to be the model of best fit for the given data.
User: ava33343
statstics,Dashboard for home devices
User: elcresh
statstics,Course Materials I taught/TA-ed/led at NYU. Courses are primarily about various topics of Statistics.
User: jayrcausal
statstics,Final Degree Project: Analyzing MANETs Routing Protocols emulated with Mininet WiFi
User: klego
statstics,Collection of exercises related to data analysis
User: sebastiansauer
Home Page: https://datenwerk.netlify.app/
statstics,Complete 1 Week to understand Role of Statistics to play with data.
User: teche74
statstics,Utilizing R created and analyzed datasets to review and validate their statistical similarities
User: whartzler
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.