{"id":24775063,"url":"https://github.com/timdev-r/user-generated-data-analysis","last_synced_at":"2025-03-23T23:27:57.844Z","repository":{"id":168616586,"uuid":"644376197","full_name":"TimDev-r/User-Generated-Data-Analysis","owner":"TimDev-r","description":"Projects from User-Generated Data Analysis Class. 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In this course, I've explored various aspects of analyzing user-generated data and gained valuable insights into understanding trends and patterns in user-generated content. This repository showcases my efforts and learning throughout the semester.\n\n## Table of Contents\n\n- [Introduction](#introduction)\n- [Projects](#projects)\n- [Technologies](#technologies)\n- [Setup](#setup)\n\n\n## Introduction\n\nIn the 'User-Generated Data Analysis' class at JKU, I've worked on several assignments and projects that delve into the analysis of user-generated content. This repository is a collection of those projects, each designed to showcase my understanding of different techniques and methodologies for analyzing data that originates from user-generated sources.\n\n## Projects\n\n1. **RecSys Basics**\n   - Description: Introduction to Recommender Systems and their basic concepts.\n   - Tags: Recommender Systems, Data Analysis, Machine Learning\n\n2. **Collaborative Filtering + Implicit Feedback**\n   - Description: Exploring collaborative filtering techniques with a focus on implicit feedback data.\n   - Tags: Collaborative Filtering, Implicit Feedback, Data Mining\n\n3. **Model-based approaches**\n   - Description: Implementing and evaluating model-based approaches for user-generated data analysis.\n   - Tags: Model-based Methods, Data Analysis, Machine Learning\n\n4. **Evaluation**\n   - Description: Evaluating the performance of different user-generated data analysis methods.\n   - Tags: Performance Evaluation, Metrics, Data Analysis\n\n5. **Popularity bias evaluation**\n   - Description: Investigating and addressing popularity bias in user-generated data.\n   - Tags: Bias Analysis, Data Mining, User Behavior\n\n6. **Challenge**\n   - Description: Addressing a real-world challenge using techniques learned in the course.\n   - Tags: Applied Data Analysis, Problem Solving, Practical Application\n\n## Technologies\n\n- Python\n- Jupyter Notebooks\n- Pandas\n- Matplotlib\n\n## Setup\n\nTo clone this repository:\n   ```bash\n   git clone https://github.com/TimDev-r/User-Generated-Data-Analysis.git\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftimdev-r%2Fuser-generated-data-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftimdev-r%2Fuser-generated-data-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftimdev-r%2Fuser-generated-data-analysis/lists"}