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average-salary-prediction

In this IPython notebook was implemented time series analysis on dataset of average salary in Russia.

bagging-and-random-forest

The main purpose of the experiment represented in this notebook is to show how Decision tree and Random forest classifier algorithms depend from different hyperparameters and some approaches.

banners-placing

In this notebook we perform cluster analysis on Foursquare dataset to find the most optimal locations to place banners of Carnival Cruise Line company.

bsu-2degree-programming

Laboratories

central-limit-theorem

In this IPython notebook I have conducted an experiment, which confirmed CLT on Wigner semicircle distribution example.

cryptographical-methods-labs

data-analysis-in-credit-scoring-task

This preliminary data analysis purpose is to discover dependencies and correlations between target feature and another features in dataset. Comments are on Russian.

dijkstra

The shortest path in a weighted graph using Dijkstra algorithm. Designed as an olympic task

drinks

University project dedicated to polymorphism and inheritance

endjouy

Website designed using Bootstrap and JS.

facial-key-points-regression

Facial key points prediction using Regression CNN with STN implemented on PyTorch.

feedback-tonality-classifier

Feedback tonality classifier based on TfidfVectorizer and LinearSVC, trained on russian language feedback on smartphones. Interactive demo is attached too

iso-labs

University studies :)

labyrinth

University task, which requires breadth-first search algorithm. The idea is concluded in the searching for the shortest path in matrix filled with 1 and 0 (available path and wall) between two points. My solution based on the Lee algorithm. So, I write 1 and 0 in my matrix as -2 and -1, which helped me to calculate and write to the matrix distance from the start position to the current point

linked-list

Simple linked list designed by me on C before my studying on FAMCS has started. Compiled on GCC, using Cygwin

linreg-height-prediction

Task from Yandex & MIPT Machine learning and Data Analysis courses. Consists in training linear model on ready dataset of heigths and weights with linear regression algorithm.

linreg-stochastic-gradient-descent

IPython notebook with Yandex & MIPT ML and DA Courses task. There is an implementation of linear regression to the dataset of company incomes and expenditures on advertising of different types. The main purpose is to build linear model which predict income according to expenditures on TV, radio and newspaper advertising.

medical-diagnostical-system

Supervised learning system, which monitors patients condition, diagnoses diseases and makes decisions. Designed on C# with XML-serialization to collect data about patients and binary serialization to collect templates condition-desease

oledb-csharp-to-ms-access

University task devoted to creation of console application which has access to MS Access database using OLEDB and implements database query

operating-systems-bsu

Operating systems 2 course labs

pets

An university project dedicated to C# standart containers

rectangles

Baltic OI'2004 task which was assigned as an university project. Solution on C++

scikit-uplift

:exclamation: uplift modeling in scikit-learn style in python :snake:

taxi-plates-regex

University task dedicated to regular expressions

text-similarity

Code based on this IPython notebook will analyse a set of sentences and find numbers of sentences, which are most similar to the 0 sentence (numeration from 0). Presented sentences are transformed to vector space and then cosine distances are calculated.