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-numerical-methods-

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

Anomaly Detection of Network Packets using GAN and Random forest

buryat-russian-machine-translation

Machine translation from buryat to russian and vice versa

coursera-data-science-specialization

Tasks I completed and materials from specialization https://www.coursera.org/specializations/machine-learning-data-analysis

coursera-spbu-course

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

delivery-service-database

A project I made for university. I created a database for an imaginary delivery company.

document-classification-spbu

Homeworks for spbu course "document classification". Includes Python and algorithmic, machine learning and natural language processing tasks.

hopfield-network

Hopfield networks are first reccurent networks made in 1982. I tested the architecture on MNIST dataset.

image-classification-cats-and-dogs-

Using convolutional neural networks for binary image classification.

inverse-pendulum-dqn

I started studying unsupervised learning, specifically, deep Q networks. I tried to figure out how agents work.

more.hack4_solution

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.

programming-basics-tasks

Basic programmes on C++ I made when I was learning programming in 2019-2020

saranaabidueva

statistics-university-projects

These are projects I've done on R and Excel for my university statistics course. I checked hypotheses about distribution laws, parameters evaluation.

string-matching-algorithms

I made a presentation on string matching algorithms in university, so I wrote a few of them on python.

vaccination-telegram-channel

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.