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apache-flink-lab-3

Lab from university Big Data course

bayesian-methods-for-ml

coursera-introduce-in-ml

tasks from coursera course (Introduce into ML by Yandex and HSE)

deep_learning

tasks from coursera.org (Introduce into Deep Learning)

explore-movies-and-rec

dataset analysis from kaggle (wiki movie plots and IMBd ratings), rec sys based on sematic analysis, ratings analysis and some features (year, director etc)

hpc

HPC course

htwdsc

tasks from https://www.coursera.org/learn/competitive-data-science/

js-30-days

30 Day Vanilla JS Coding Challenge (https://javascript30.com/)

lab_optic_2

optical informatics lab: FFT for 1-d and 2-d, integral for 1-d

labs_acs

labs_graphics

labs_optic

lenta-ru-eda-and-topics

EDA, pre-processing text on the Russian language, find N-grams, and create topic models (LDA, pLSA) for lenta.ru news.

math_physics

расчёт динамического поля концентрации вещества на временном промежутке 0 < t < T

ml_ai_labs

University course ML & AI.

ml_tasks

includes: kaggle solutions; regression tasks, classification tasks, EDA.

movieretrieval

Movie recommender system based on NLP, in particular LDA and algorithms of semantic related terms (wordnet synsets)

quiz_app

based on React.js, includes SCSS

serverless-stack-api

Serverless backend of full-stack app (notes application). Includes AWS, Serverless framework

serverless-stack-client

Client part of full-stack Serverless app (notes application). Includes React.

stats-for-data-analysis

test tasks from https://www.coursera.org/learn/stats-for-data-analysis/

test