This project scrapes and analyzes auction data from Christie's and Sotheby's using Python, Selenium, and Pandas. It explores factors influencing artwork prices, particularly auction house estimates and artist popularity (measured via Yahoo search trends). It includes multi-stage scrapers, data cleaning notebooks, and exploratory data analysis.

Statically Measure content egagement from followers

《C程序设计》课程笔记（附代码）

NLP text prediction script that uses neural network approach for autocompletion rather than traditional n-gram Hidden Markov Model approach.

Comprehensive analysis of Rome's climate (1950-2022) using data science and machine learning techniques.

AI-powered CSV data analysis tool with natural language queries using Groq's LLaMA-3, automated visualizations, and instant insights.

Notebook of Udemy's Course: ML&DS

C++ labs covering core concepts, data structures, and algorithms with examples

Examples based on CodeSignal Course

Java simulation of a delivery app using a custom generic min-heap. Built as part of a university Data Structures course.

Slide deck of presentation to AAS 2020, entitled, "Text-mining for Cohort Ascertainment and Analysis of Patients with EVA," given on Mar. 5, 2020.

prognozowanie cen samochodów

AI-powered resume analyzer that extracts skills, predicts job roles using NLP & ML, identifies skill gaps, and provides personalized course recommendations with an admin analytics dashboard.

A machine learning-based movie recommendation system implementing popularity-based, content-based, and collaborative filtering techniques using Scikit-Learn and Surprise.

A structured collection of Python Data Science learning notebooks covering Pandas, Data Analysis, Data Visualization, Regex, and real-world dataset exploration.

Análisis de siniestralidad y costos médicos con SQL (BigQuery) y Looker Studio. Enfoque en identificación de drivers de gasto y Health Data Analytics.

This repository is a curated blend of Python, SQL/NoSQL Learning Resources. It features hands-on tutorials using libraries like Pandas, NumPy, Matplotlib, and Seaborn, along with foundational DSA Code, Certifications, Hackathons and Co-Curricular Activities Files to support structured learning.

Cervical cancer risk analysis and predictive model over biopsy target.

Sales Forecasting using Machine Learning and Linear Regression