NumPy
NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/Verozavr/taxi-data-analytics-project
Data analytics and visualization projects in Python
challenge data-analitics data-analysis-python data-analytics data-science data-science-projects data-visualization matplotlib numpy pandas project projects python seaborn taxi-data training-project
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https://github.com/jessicahora/series_temporais
Análise de Series Temporais do Consumo de Energia da Alemanha.
numpy pandas python time-series-analysis
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https://github.com/naveen88112/clustering_customer_invoice_data
Customer Invoice Data Clustering This project uses clustering methods on customer invoice data for segmentation analysis. It preprocesses data, normalizes features, and uses K-Means and DBSCAN to cluster customers according to spending habits and shared locations.
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https://github.com/saifalibaig/covid-19-infection-rate-analysis-using-python
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https://github.com/bhanuprakashnani/scit-tasks
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Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t
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https://github.com/geetu040/fetcher
AI GAME: We have a random maze and 2 agents at random places. You control the Fetcher and find the way through the maze to get ot the target. You can automate the Fetcher to use trained models that help Fetcher fetch the target by itself. The models are based on deep neural networks, implemented by tensorflow and Keras API. The models are so efficiently trained, they find ways through the maze without hitting the walls and have an accuracy of more than 99%
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numpy opencv-python pycharm-ide
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https://github.com/azaz9026/data_cleaning
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https://github.com/niteshchawla/logistics-nn-regression
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