I am a 4th grade student in Saint-Petersburg State University. I am deeply keen on studying data science, especially natural language processing.
You can contact me via:
Name: Sarana Abidueva
Type: User
Company: Tinkoff
Bio: SPbU student, who wants to be a solid data scientist.
Location: Moscow
These are my university projects on the discipline "Numerical methods". I implemented various algorithms of numeric calculations such as: interpolation, approximation, integral calculation, solving equations, solving systems of linear algebraic equations (SLAE), minimization of quadratic function
Anomaly Detection of Network Packets using GAN and Random forest
Machine translation from buryat to russian and vice versa
Tasks I completed and materials from specialization https://www.coursera.org/specializations/machine-learning-data-analysis
I practiced NLP on a course. There are some pieces of code I used while completing course https://www.coursera.org/learn/vvedeniye-v-nauku-o-dannykh
A project I made for university. I created a database for an imaginary delivery company.
Homeworks for spbu course "document classification". Includes Python and algorithmic, machine learning and natural language processing tasks.
Hopfield networks are first reccurent networks made in 1982. I tested the architecture on MNIST dataset.
Using convolutional neural networks for binary image classification.
I started studying unsupervised learning, specifically, deep Q networks. I tried to figure out how agents work.
Our solution to VTB data hackathon. We provided a solution to two tasks: trend extraction from news and giving digests according to professions buhgalter and businessman.
Basic programmes on C++ I made when I was learning programming in 2019-2020
These are projects I've done on R and Excel for my university statistics course. I checked hypotheses about distribution laws, parameters evaluation.
I made a presentation on string matching algorithms in university, so I wrote a few of them on python.
I extracted data from Telegram channel https://t.me/GamCOVIDVac about volunteers who tried vaccination in Russia. I made preprocessing of dataset such as normalization, lemmatization, tokenization, stop-words removal. The following work is to create an nlp model that would make sentiment analysis answering the question, are vaccines are good for health, or not, and which ones.
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.