This repo contains a regression analysis of crime rates in the Boston area.

HH applicant data research, cleaning and outliers detecting

Supporting site for the Pawsey 2023 summer internship showcase event

High Accuracy of NBA game outcome & team performance prediction and outstanding player detection.

Hello! This is My Portfolio Website

Analyzing spotify data with computers

Customer Segments - Machine Learning Nanodegree from Udacity

Supplementary materials for the Meta-survey on outlier and anomaly detection paper.

A classification task where LDA and DBSCAN are combined to perform crucial Intraclass outlier detection; then ad hoc feature selection process is executed to reduce the highly dimensional (continuous and discrete) feature space.

A sight on my work

Ergebnisse der Datenanalyse vom Feinstaub Hackathon 2018 der Stuttgarter Zeitung

This repo contains code, a presentation, and a project report regarding suicide rates in the US from 1985 - 2015

Analysis of resumes from the site hh.ru.

Демонстрация применения методов преобразования и очистки данных на примере данных резюме на HeadHunter

A collection of projects where I worked on building anomaly detection pipelines. This rep covers code for EDA, outlier detection, and stock analysis.

Machine Learning for Data Science lecture at Freie University Berlin during WiSe21/22

University of Utah—MKTG 66420 | Taken: Fall 2020

Данный проект направлен на применение различных методов по предобработке данных

This solution performs Anomaly Detection with Statistical Modeling on Spark. The detection is based on Z-Score calculated on cpu usage data collected from servers.

Time series anomaly detection and change-point on the univariate (potentially multivariate case) for time series economic data from LA concerning unemployment