Projects in Awesome Lists tagged with csv-dataset

A curated list of projects in awesome lists tagged with csv-dataset .

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https://github.com/stefanb/gurs-rpe

Slovenija - Register prostorskih enot / Slovenia - Register of Spatial Units (CC-BY 4.0, Geodetska Uprava RS)

address-dataset addresses administrative-areas administrative-divisions administrative-units csv-data csv-dataset geojson-data map municipalities municipality-map opendata school-district settlements slovenia slovenija spatial-data statistical-area streets

Last synced: 17 Sep 2025

https://github.com/mevdschee/postcodes-nl-geo

Dutch postcodes in CSV format (7zip) and MySQL import script (with geo)

csv-dataset dataset mysql nederland netherlands postcode postcodes

Last synced: 24 Apr 2026

https://github.com/syarwinaaa09/analyzing-students-mental-health

data-driven exploration into student mental health trends using survey data

csv-dataset data-analysis education jupyter-notebook mental-health-awareness pandas psychology student-mental-health visualization

Last synced: 11 Sep 2025

https://github.com/leosolar8/stock-price-prediction-ai-model

This project shows how to use a special type of AI called Long Short-Term Memory (LSTM) to predict stock prices. The project is split into two main parts: Training the AI Model and Making Predictions (Inference)

ai csv-dataset data-science data-visualization deep-learning finance financial-data forecasting keras lstm machine-learning python rnn stock-market stock-prediction tensorflow time-series time-series-forecasting

Last synced: 08 Apr 2026

https://github.com/chubek/roff-dossier

A dossier on the ROFF page formatting and typesetting language

csv-dataset documents groff linux-manpages markdown nroff posix roff troff typesetting unix-manpages

Last synced: 19 Jul 2025

https://github.com/zuhairzia/titanic-survival-project

This is a Titanic Survival Prediction Model developed using Python, Pandas, Scikit-learn, and Jupyter Notebook. The model predicts whether a passenger survived the Titanic disaster based on features such as age, gender, and passenger class.

csv-dataset flask jupyter-notebook matplotlib numpy pandas pandas-library python scikit-learn seaborn streamlit