This repository contains various data science projects that demonstrate different techniques, tools, and approaches used in data analysis, machine learning, and data visualization. Each project is contained in a separate Jupyter Notebook and explores a unique dataset or problem domain.
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01-gradebook - Description: This project involves analyzing a gradebook dataset, exploring students' performance across different assessments, and identifying trends and patterns.
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02-covid_vax - Description: This project examines COVID-19 vaccination data, analyzing vaccination rates across different countries and regions, and exploring correlations between vaccination and case rates.
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03-topics - Description: The first part of a series on topic modeling, this project involves extracting topics from a corpus of text using various techniques such as Latent Dirichlet Allocation (LDA).
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04-language-models - Description: This project explores the use of language models in natural language processing, focusing on tasks such as text generation, sentiment analysis, and more.
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05-topics-II - Description: The second part of the topic modeling series, building on the previous project to refine and improve the topic extraction methods.
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DCvsMarvel.ipynb - Description: A comparative analysis between DC and Marvel comics, looking at trends in characters, storylines, and other attributes that define these two iconic franchises.
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nbasports.ipynb - Description: This project involves analyzing NBA data to uncover insights about player performance, team statistics, and game outcomes.
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spotifytrends.ipynb - Description: An exploration of Spotify data, focusing on trends in music listening habits, popular genres, and the impact of various factors on music popularity.