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
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https://github.com/mzayles/base_vendas_dataprep
💻📊✅ Curso de Programação em Python para Data Science | Preparando e tratando dados com Pandas e NumPy.
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accuracy-score confusion-matrix logistic-regression-algorithm matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn
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anaconda class classification-algorithm data-science dataanalysis kaggle machine-learning machine-learning-algorithms matpolotlib numpy pandas python python3 seaborn
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numpy pandas pickle streamlit-webapp svm-model
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artificial-intelligence collaborative-filtering content-based-filtering cosine-similarity data-preprocessing jupyter jupyter-notebook machine-learning matrix-factorization numpy pandas predictive-modeling python3 recommendation-system recommender-system scikit-learn sckit-surprise
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axios django django-rest-framework javascript keras matplotlib numpy pandas python react tensorflow yfinance
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machine-learning machinelearning matplotlib numpy pandas python scikit-learn
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https://github.com/prarthana-singh/potato-disease-classification-using-deep-learning
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agriculture cnn deep-learning image-classification keras machine-learning neural-network numpy pandas plant-disease-detection python3 streaming tensorflow
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matplotlib numpy pydantic scipy
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https://github.com/csengupta1101/housing-price-prediction
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jupyter-notebook matplotlib numpy pandas python python3 scikit-learn vscode
Last synced: 11 Apr 2026
https://github.com/otuemre/housepricingml
A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.
eda encoding evaluation-metrics kaggle-competition lightgbm-regressor machine-learning matplotlib-pyplot neural-networks numpy pandas preprocessing python ridge-regression scikit-learn seaborn tensorflow xgboost-regression
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fastapi h5py json matplotlib numpy pandas scipy
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coursera coursera-deep-learning deep-learning keras keras-tensorflow numpy python tensorflow
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https://github.com/ahmedabdalkreem/animals_classification
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classification cnn heatmap matplotlib mobilenet numpy opencv pandas pretrained-models python restnet
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https://github.com/rutujaingole/jailbreaking-deep-models
This repository contains the codebase for Jailbreaking Deep Models, which investigates the vulnerability of deep convolutional neural networks to adversarial attacks. The project systematically implements and analyzes Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and localized patch-based attacks on the pretrained
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data-science jupyter-notebook numpy pandas python pytorch scikit-learn
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This project involves Customer Segmentation using K-Means clustering to group customers based on Recency, Frequency, and Monetary (RFM) analysis from the Online Retail dataset. It also performs Sentiment Analysis on Amazon Product Reviews using Natural Language Processing techniques & Logistic Regression to classify reviews as positive or negative.
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Last synced: 07 May 2026
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https://github.com/4strium/predict-french-tv-audience
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https://github.com/prashhhant213/cardioflex-treadmill-analysis-using-descriptive-statistics-probability
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https://github.com/ahmedabdalkreem/skin-cancer
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https://github.com/louisblankemeier/numpytex
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https://github.com/azaz9026/machine_learning_algorithms
Machine learning algorithms are computational models that allow computers to understand patterns and forecast or make judgments based on data without the need for explicit programming. These algorithms form the foundation of modern artificial intelligence and are used in a wide range of applications, including image and speech recognition.
machine-learning machine-learning-algorithms numpy pandas python3 seaborn sklearn-library
Last synced: 12 Apr 2026
https://github.com/liviuxyz-ctrl/financialportofoliosimulator
FinancialPortfolio is your financial planning ally, helping you manage portfolios, calculate future values, and visualize performance, all with user-friendly ease🚀
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Optimizes stock portfolios using simulation and real-world constraints (SLSQP).
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Last synced: 12 Apr 2026