https://github.com/timdev-r/user-generated-data-analysis
Projects from User-Generated Data Analysis Class. JKU 2023.
https://github.com/timdev-r/user-generated-data-analysis
Last synced: over 1 year ago
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Projects from User-Generated Data Analysis Class. JKU 2023.
- Host: GitHub
- URL: https://github.com/timdev-r/user-generated-data-analysis
- Owner: TimDev-r
- Created: 2023-05-23T11:45:07.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-08-22T17:01:56.000Z (almost 3 years ago)
- Last Synced: 2025-01-29T06:41:00.188Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 6.51 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Project from the 'User-Generated Data Analysis' Class (JKU 2023)
Welcome to the repository for my assignments and projects from the 'User-Generated Data Analysis' class at JKU in 2023. 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.
## Table of Contents
- [Introduction](#introduction)
- [Projects](#projects)
- [Technologies](#technologies)
- [Setup](#setup)
## Introduction
In 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.
## Projects
1. **RecSys Basics**
- Description: Introduction to Recommender Systems and their basic concepts.
- Tags: Recommender Systems, Data Analysis, Machine Learning
2. **Collaborative Filtering + Implicit Feedback**
- Description: Exploring collaborative filtering techniques with a focus on implicit feedback data.
- Tags: Collaborative Filtering, Implicit Feedback, Data Mining
3. **Model-based approaches**
- Description: Implementing and evaluating model-based approaches for user-generated data analysis.
- Tags: Model-based Methods, Data Analysis, Machine Learning
4. **Evaluation**
- Description: Evaluating the performance of different user-generated data analysis methods.
- Tags: Performance Evaluation, Metrics, Data Analysis
5. **Popularity bias evaluation**
- Description: Investigating and addressing popularity bias in user-generated data.
- Tags: Bias Analysis, Data Mining, User Behavior
6. **Challenge**
- Description: Addressing a real-world challenge using techniques learned in the course.
- Tags: Applied Data Analysis, Problem Solving, Practical Application
## Technologies
- Python
- Jupyter Notebooks
- Pandas
- Matplotlib
## Setup
To clone this repository:
```bash
git clone https://github.com/TimDev-r/User-Generated-Data-Analysis.git