gasimv Goto Github PK
Name: Gasym A. Valiyev
Type: User
Company: Bauman MSTU
Location: Moscow
Blog: [email protected]
Name: Gasym A. Valiyev
Type: User
Company: Bauman MSTU
Location: Moscow
Blog: [email protected]
"This GitHub repository contains a customer churn prediction model for Beta Bank. The goal is to predict whether a client will leave the bank in the near future based on historical data. The project aims to achieve an F1-measure value of at least 0.59 and also measures AUC-ROC for comparison."
"Проект по обучению модели линейной регрессии на данных о жилье в Калифорнии в 1990 году. Цель проекта - предсказать медианную стоимость домов в жилых массивах на основе различных признаков, таких как местоположение, возраст жилья и доход жителей."
"Data analysis of borrower reliability for the credit department of a bank. The project investigates whether a client's marital status and the number of children impact loan repayment. The results will inform the construction of a credit scoring model."
"Проект по созданию системы оценки риска ДТП для каршеринговой компании. Система предсказывает вероятность ДТП с повреждением автомобиля на основе исторических данных и факторов, таких как состояние дороги и возраст автомобиля, и предоставляет рекомендации водителю при выборе маршрута."
"ML model for determining the market value of used cars for the "Not Bit, Not Painted" used car sales service. The project involves building a prediction model to estimate car prices based on technical characteristics, equipment, and prices of other cars. The focus is on model quality, training time, and prediction time."
"This GitHub repository contains a solution to protect clients' personal data for the insurance company "Though the Flood." The project involves developing a data transformation method that preserves machine learning model quality while safeguarding personal information."
"Проект по определению возраста покупателей в сетевом супермаркете 'Хлеб-Соль' с использованием компьютерного зрения для анализа и улучшения взаимодействия с клиентами и контроля продажи алкоголя."
"Django Dynamic Blog: A feature-rich blog application built with Django, incorporating advanced functionalities like SEO optimization, commenting, tagging, and full-text search."
"Django-based social website project, featuring user registration, authentication, profiles, and social interaction features."
"Intent Recognition for Document Retrieval: A voice-assisted system designed to aid citizens in obtaining specific documents from a government agency. Built using Azerbaijani language data, the system employs Machine Learning models to accurately identify user intentions from spoken requests, streamlining the document retrieval process."
"An in-depth exploratory data analysis of advertisements for the sale of apartments in St. Petersburg and neighboring settlements. The project aims to determine the market value of real estate by conducting data analysis and identifying parameters that affect property prices."
"Product Matching, Similarity Search and Learning-to-Rank (L2R) Project"
"GitHub repository for analyzing revenue differences between Megaline's "Smart" and "Ultra" tariff plans using 2018 data from 500 users, along with hypothesis testing."
"This GitHub repository contains a classification model to predict whether a customer should be offered the "Smart" or "Ultra" tariff based on their behavior data. The goal is to achieve a classification accuracy of at least 75% using a dataset of customer behavior who have already switched to these tariffs, without requiring data preprocessing."
"Data analysis of user behavior and music preferences in Moscow and St. Petersburg using real Yandex Music data. The project aims to test hypotheses related to user activity, genre preferences, and how they differ between the two cities."
"Классификация токсичных комментариев для интернет-магазина "Викишоп" для обеспечения безопасности и качества контента."
"Для сети отелей "Как в гостях" необходимо разработать систему прогнозирования отказов от бронирования с возможностью предложения клиентам внести депозит в случае риска отмены, с целью минимизации убытков от отмененных броней, исследовать признаки "ненадежного" клиента, и оценить выгодность внедрения такой системы."
"Проект по анализу данных выполненный для Министерства культуры Российской Федерации и направленный на исследование рынка российского кинопроката, а также анализа фильмов, получивших государственную поддержку."
"Azerbaijani Legal Acts Search Engine (ALASE) - ALASE is an AI-powered semantic search engine designed to retrieve relevant Azerbaijani legal documents based on natural language queries."
"An in-depth analysis of StackOverflow data, focusing on user behavior, engagement, and trends within the StackOverflow community. Explore user cohorts, retention rates, and more to gain valuable insights into the world of programming and knowledge-sharing."
"Проект нацелен на создание нейронной сети для точного прогнозирования температуры звезд на основе данных об их характеристиках с использованием обсерваторных данных и методов машинного обучения."
"A machine learning project to predict customer churn for the telecom operator TeleDom, utilizing data analysis and predictive modeling to aid in customer retention strategies."
"In this project, we aim to develop a Proof of Concept (PoC) for an on-demand image search system that allows photographers to search for photos based on text descriptions, while adhering to legal restrictions and evaluating the feasibility of creating such a service."
"Разработка модели для прогнозирования количества заказов такси на следующий час."
"Predicting prices of second-hand cars using data analysis and machine learning techniques."
"This GitHub repository contains a model for choosing the best location for drilling a new well for the mining company GlavRosGosNeft. The project involves training models for three regions, calculating potential profits, and assessing risks using the Bootstrap technique to determine the region with the highest average profit and acceptable risk."
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