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/davityak03/customer-churn-model-using-ann
ann elu keras leaky-relu matplotlib-pyplot numpy pandas prelu python seaborn
Last synced: 10 Apr 2026
https://github.com/shivsharcode/diabetes-prediction-new
DIABETES PREDICTION MODEL
flask jupyter-notebook logistic-regression machine-learning matplotlib numpy pandas python scikit-learn
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jupyter machine-learning matplotlib numpy pandas python scikit-learn
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https://github.com/reckonsys/datascience-docker
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https://github.com/the-developer-306/fake-review-detector
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https://github.com/sahilk12nayak/hyperspectral-corn-don-prediction-project
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matplotlib numpy pandas python scikit-learn seaborn tensorflow
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https://github.com/chandkund/sentiment-analysis-using-nlp
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IPython Notebook(s) demonstrating NumPy functionality.
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https://github.com/anarya22/accenture-north-america-data-analytics-and-visualization-job-simulation-on-forage
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analyzing-visualization data-cleaning data-visualization numpy pandas powerbi powerpoint-presentations
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https://github.com/als8446/tripleten-data-science-projects
Projects Overview Projects made in the Data Scientist course from TripleTen LatAm
data data-analysis hypothesis-tests machine matplotlib numpy pandas python scipy sklearn
Last synced: 10 Apr 2026
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https://github.com/darshanpakhale250-gif/customer-churn-prediction-ml
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colab-notebook customer-churn-analysis data-science decision-trees kaggle logistic-regression machine ml numpy pandas python random-forest
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https://github.com/kizman-23/supervised_models
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numpy pandas scikit-learn supervised-machine-learning
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https://github.com/venkat-0706/accenture-hackathon
Developing an e-commerce recommendation system involves utilizing technologies such as Python for programming, Pandas for data manipulation, SQL for database management, FastAPI for building APIs, PostgreSQL for data storage, and Docker for containerization.
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Text Generation using basic RNN from scratch using Python and Numpy.
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https://github.com/somyaaaaaa2004/travelling-sales-man-problem
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