HH applicant data research, cleaning and outliers detecting
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Updated
Apr 6, 2024 - HTML
HH applicant data research, cleaning and outliers detecting
Supplementary materials for the Meta-survey on outlier and anomaly detection paper.
Supporting site for the Pawsey 2023 summer internship showcase event
Analysis of resumes from the site hh.ru.
Данный проект направлен на применение различных методов по предобработке данных
Демонстрация применения методов преобразования и очистки данных на примере данных резюме на HeadHunter
Time series anomaly detection and change-point on the univariate (potentially multivariate case) for time series economic data from LA concerning unemployment
Machine Learning for Data Science lecture at Freie University Berlin during WiSe21/22
University of Utah—MKTG 66420 | Taken: Fall 2020
A collection of projects where I worked on building anomaly detection pipelines. This rep covers code for EDA, outlier detection, and stock analysis.
This repo contains a regression analysis of crime rates in the Boston area.
This repo contains code, a presentation, and a project report regarding suicide rates in the US from 1985 - 2015
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.
Analyzing spotify data with computers
Customer Segments - Machine Learning Nanodegree from Udacity
Ergebnisse der Datenanalyse vom Feinstaub Hackathon 2018 der Stuttgarter Zeitung
High Accuracy of NBA game outcome & team performance prediction and outstanding player detection.
Creating Customer Segments - 4th project for Udacity's Machine Learning Nanodegree
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