Projects

LLM-Arxiv-HF

Large Language Models

Analyse how LLM works and how to train them with a particular dataset Arxiv on Hugging Face.

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NBD-HW1

Topology algorithm: Jellyfish and Fat-tree

Section 2: Implement the code for the two network types. Analyze the differences: Mean response time and Job running cost.

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BikeStoreDB-SQL

SQL / MySQL

Sample database for a retail bike store. Learning SQL and practicing querying relational databases.

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BikeStoreDB-NoSQL

NoSQL / MongoDB

Sample database for a retail bike store. Learning MongoDB and practicing querying, highlighting the differences with respect to a standard (SQL) relational database system

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MARVEL Social Network

Social Network Analysis.

Analyze Marvel hero and his link with Social Network techniques. In R language, Gephi (visualization)

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Clustering

Feature Engineering. Code Implementation. Characterizing Clusters.

Feature engineering in 2.1. Using MapReduce in the code implementation of K-means in section 2.3. Characterizing Clusters in 2.4

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Graph

Data pre-processing. Backend Implementation.

Data pre-processing in Point 1. Backend Implementation in Point 2.1 (package: Pandas, NetworkX, Numpy)

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Masters

Data Collection. Code Implementation. Problem Solving.

Data Collection in Point 1. Create functions in Python for Download and Transform HTML Page in CSV file (package: Pandas, BeautifulSoup).

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