Data Science Club ELTE
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MOL-BUBI-Analysis
MOL-BUBI-Analysis PublicIn this project, we will analyze the routes and usage patterns of MOL BUBI bicycles to identify the most frequently used routes and areas in Budapest. Help BKK identify roads and areas where additi…
Python 2
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clustering-visualizing-data-in-two-dimensions
clustering-visualizing-data-in-two-dimensions PublicClustering Data and Visualizing in 2D - An ELTE Data Science Club Project
Jupyter Notebook 1
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offline-online-anomaly-detection
offline-online-anomaly-detection PublicOffline & Online Anomaly Detection in Credit Card Data
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prompt-model-alignment-evaluation-system
prompt-model-alignment-evaluation-system PublicBuilding a Prompt-Model Alignment Evaluation System
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spotify-song-recommendation-system
spotify-song-recommendation-system PublicSpotify Song Recommendation System
Jupyter Notebook
Repositories
- Cinelink Public
Build a movie recommendation system using Neo4j and the TMDB API, combining user-movie graphs, machine learning, graph embeddings, and movie content to generate personalized recommendations. The project will also evaluate the system using metrics such as Precision@K, Recall@K, and NDCG and compare it with a simple baseline.
- MOL-BUBI-Analysis Public
In this project, we will analyze the routes and usage patterns of MOL BUBI bicycles to identify the most frequently used routes and areas in Budapest. Help BKK identify roads and areas where additional bicycle lanes or infrastructure may be needed. Use real-world data to discover mobility patterns and provide data-driven recommendations.
- clustering-visualizing-data-in-two-dimensions Public
Clustering Data and Visualizing in 2D - An ELTE Data Science Club Project
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