İkinci el araç ilanlarını alıcı gözünden değerlendiren tarayıcı uzantısı: fiyat konumu, kilometre yorumu ve pazarlık hedefi. Analiz sizin tarayıcınızda, kendi yapay zekâ anahtarınızla üretilir.
This repository contains the codebase used in the research conducted for the paper titled "Benchmarking Cryptocurrency Forecasting Models in the Context of Data Properties and Market Factors." The study involved a rigorous assessment of thirteen different time series forecasting models over twenty-one cryptocurrencies and four distinct time frames.
Data Science Portfolio
AI-powered framework for analyzing salvage and damaged vehicles at Brazilian auctions (Copart Brazil, Sodré Santoro, and others). Combines automated data collection, a parts price database, and structured prompts to help buyers make faster, better-informed bidding decisions.
围绕《三角洲行动》游戏子弹物价的端到端预测与决策系统:抓取/清洗价格时间序列,用 TimeXer(PyTorch,含外生变量)预测未来 168 小时价格,并自动生成倒卖买卖计划;Node.js(Express) 在线服务 + Chart.js 可视化。
An analysis of house prices in Beijing
Back-end server for price analytics platform, enables tracking of sales statistics for various products and product clusters across different countries
Finds underpriced used electronics in Bahrain, checks the numbers, and sends promising deals to Telegram.
Monatliche Aufschlüsselung deutscher Tankstellenpreise (Diesel/Super E5) in Energiesteuer, CO2-Abgabe, Rohöl Brent, MwSt und Raffinerie-Marge. Daten: Bundeskartellamt MTS-K via Tankerkönig + EIA/CrudePriceAPI Brent. DuckDB + GitHub Pages.
A car price analysis tool with brand comparisons, trend tracking, and interactive visualizations. Built with Python and Streamlit
This project analyses data extracted from an e-commerce website to provide key insights into the current state of the company's products.
Analysed 370k+ eBay car listings using Python, Pandas, and Matplotlib. Cleaned messy real-world data, removed outliers, explored relationships between price, mileage, age, and brand, identified value-retaining manufacturers, and built a simple vehicle price estimator using historical listing data.
Explore cryptocurrency market trends with Python using unsupervised learning techniques. Using Jupyter Notebooks to implement K-means clustering and Principal Component Analysis (PCA) to analyze and predict price trends of cryptocurrencies over 24-hour and 7-day periods.
Analyzes price patterns for opportunities
Exploring Japanese grape prices through variety systems and physical appearance using interpretable models.
Расширение для анализа цены и рисков лотов Lolzteam Market
Local Pokemon card auction scanner with market-value reporting and a loopback dashboard
An interactive dashboard for analyzing used car sales data across various US states with dynamic visual analytics
Data analysis project exploring discount strategies and product segmentation on 7ドル.8M revenue dataset — uncovering insights on seasonal demand and margin impact.
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