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/priyanshulathi/air-quality-index-prediction
Machine learning based air quality index prediction using environmental and pollutant data to classify and forecast pollution levels.
machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 19 Jan 2026
https://github.com/bharath-tars/deeptumor2.0
DeepTumor2.0 is a project aimed at developing a flask webapp with robust front end and highly trained model using tensorflow in the backend with several features like with automatic html template reporting. **NOTE: DeepTumor2.0 has been moved from Azure to On-Render to save costs**
css datetime docs flask github html javascript keras numpy onrender os pandas python sheety smtp tensorflow
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https://github.com/sweta2501/ml
Consist of ML projects based on Python along with DataSheets
machine-learning matplotlib-pyplot numpy pandas python seaborn sklearn sklearn-model
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https://github.com/ramchaik/cinebrain
CineBrain uses ML & NLP to analyze movies and recommend similar ones based on user preferences through cosine similarity.
cosine-similarity flask htmx kaggle machine-learning movie-recomendation-system nlp nltk numpy pandas sklearn tailwind tmdb tmdb-api unsupervised-learning vectorization
Last synced: 19 Jan 2026
https://github.com/jatin-mehra119/paris_housing_price-kaggle-
Paris Housing Price Kaggle Competiton
data data-visualization kaggle-competition machine-learning numpy pandas predictive-modeling scikit-learn
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https://github.com/lorenzorottigni/ml-breast-cancer
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ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines
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https://github.com/saifalibaig/covid-19-death-rate-analysis-using-python
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https://github.com/ricardorobledo/paymentcardfrauddetection2025
Comparative analysis of probabilistic classification models for credit card fraud detection, focusing on model calibration and threshold optimization in highly imbalanced datasets.
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https://github.com/sultanazhari/game-trend
Ice as a online store Video Games want to know a new trend of video game to help them prepare a video games which is more profitable to sell. As a data Analyst we're giving a trend of video game by genre, platform, console and the others clasification.
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cbow jupyter-notebook matplotlib nlp nltk numpy pandas python tf-idf
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https://github.com/chandkund/ev-market-segmentation
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https://github.com/jlmsc/gaussian-elimination
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algorithms back-substitution educational gaussian-elimination linear-algebra linear-systems math matrix numerical-methods numpy pysimplegui python row-echelon-form scientific-computing sympy
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https://github.com/semanurbilada/chatbot
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https://github.com/wasifsohail5/amusic-ai_powered_musicrecommendationsystem
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https://github.com/farhad-here/predict_student_performance
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classification data-analysis data-visualization linear-regression machine-learning numpy pandas postgresql powerbi scikit-learn streamlit
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https://github.com/yulia-momotyuk/dla-data-analysis-practice
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analytics data-analysis data-visualization excel mysql numpy pandas postgres powerbi python seaborn sql tableau
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https://github.com/shuyib/pimadlkeras
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diabetes hidden-layers keras-neural-networks matplotlib-figures model-validation numpy pima-indians-dataset prediction predictive-modeling python-3-5 seaborn
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https://github.com/mlicamele/neural-network
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gradient-descent matrix-computations neural-networks numpy python
Last synced: 12 Apr 2026
https://github.com/chirindaopensource/search_benford_law_compatibility
End-to-End Python scalable forensic accounting toolkit implementing Benford's Law analysis for FTSE financial data. Delivers automated anomaly detection with Chi-Squared/MAD testing, comprehensive validation pipelines, and risk-based prioritization of investigative resources. Replicates Ausloos et al.'s (2025) methodology with full reproducibility.
academic-research anomaly-detection benfords-law chi-squared-test data-validation econometrics financial-analysis financial-data forensic-accounting fraud-detection ftse goodness-of-fit jupyter-notebook numpy pandas python reproducible-research risk-management scipy statistical-testing
Last synced: 12 Apr 2026
https://github.com/kostadinlambov/bitcoin-and-stock-market-correlation
This study uses a quantitative research design to analyze the relationship between Bitcoin prices and the stock market over the past five years with the S&P 500 Index serving as a proxy for the stock market.
bitcoin data-science jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-stats seaborn sp500-data-analysis
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https://github.com/kriss024/python
Python for Data Science
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https://github.com/harmanveer-2546/reducing-data-entries
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https://github.com/satyacoder29/crm-analytics-power-bi
CRM Analytics Dashboard – An interactive dashboard using Tableau, SQL, and Salesforce CRM Analytics (CRMA) to analyze sales performance, customer segmentation, and churn prediction. Features automated ETL pipelines, predictive analytics, and real-time insights for data-driven decision-making. 🚀📊
advanced-excel data-analysis data-cleaning data-collection data-transformation data-visualization matplotlib numpy pandas powerbi python seaborn sql tableau
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https://github.com/yashaka/learncv
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https://github.com/alefair/ds
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ipython jupyter matplotlib numpy pandas python sklearn
Last synced: 15 Mar 2026
https://github.com/harmanveer-2546/nba-homecourt-advantage-data-analysis
In this repo we're diving into NBA game data to explore the phenomenon of home court advantage.
analysis homecourt learning-curve linear-models logisticregression metrics model-selection nba nba-analytics nba-stats numpy pandas preprocessing seaborn sklearn standardscaler
Last synced: 06 Feb 2026
https://github.com/hellymodikalpesh/numpy
This repository is designed as a comprehensive resource for learning the NumPy library. It covers nearly all functions and features of NumPy, providing a thorough exploration of its capabilities for numerical computing and data analysis.
Last synced: 28 Jan 2026
https://github.com/pradeep31747/smartsuggest-personalized_product_recommendations
This project implements a personalized product recommendation system using machine learning techniques to enhance user experience and drive engagement.
jupyter-notebook keras numpy pandas pyhton scikit-learn sql tensorflow vscode
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https://github.com/shreshthvashisht/bank-loan-case-study
Risk Analytics using Python
data-cleaning data-imputation data-normalization data-standardization exploratory-data-analysis jupyter-notebook loan-analytics loan-default-prediction matplotlib-pyplot numpy pandas python-data-analysis python-data-science risk-analysis seaborn-plots
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https://github.com/tugot17/neural-network-from-scratch
Simple neural network implemented from scratch using numpy package
from-scratch neural-network numpy python
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https://github.com/ggrbill/phd-plot-scripts
My personal plot scripts used to generate graphs for my PhD Thesis
hacktoberfest matplotlib numpy python
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https://github.com/gusenov/max-empty-rect-py
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algorithm empty-spot graphics numpy python python-image-library python-library rectangle-detection
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https://github.com/rezasharifi82/lesson_extractor
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https://github.com/asut00/Machine-Learning-Program_42AI
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https://github.com/nordszamora/ds-ml-projects
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https://github.com/lavkalsi/creditcardfrauddetector
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fraud-detection machine-learning nodejs numpy pandas python reactjs sklearn-library
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https://github.com/alejandro945/insurance-risk
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https://github.com/subh888999/car-prices--analysis-projects
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https://github.com/matheusafonseca/c213-trabalho-1
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A comprehensive case study applying machine learning techniques to detect fraudulent transactions effectively.
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https://github.com/martincastroalvarez/search-keras-gensim-elasticsearch
Search Engine using Word Embeddings, GloVe, Neural Networks, BART and Elasticsearch
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Last synced: 15 Apr 2026
https://github.com/ljadhav25/decision-tree-random-forest-algorithm-data-science-
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Last synced: 15 Apr 2026
https://github.com/tamk-kol/project_orbital_data_analysis
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matplotlib numpy pandas scikit-learn
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https://github.com/hossein-cod/practicing-deep-learning
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https://github.com/ayuub34/siesta-smart
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Alignment of an unaligned image with a base/reference image using feature detection, feature matching, and homography in OpenCV.
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mlzoomcamp capstone project
cnn-classification flask numpy tensorflow
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https://github.com/karishmagupta05/airbnb-data-scraping-and-analysis
This project involves web scraping Airbnb listings using Python and BeautifulSoup, followed by data analysis with Pandas. The goal is to extract meaningful insights from the data, clean and preprocess it, and visualize the results using libraries like Matplotlib and Seaborn.
beautifulsoup4 matplotlib numpy pandas python scraping seaborn visualization
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https://github.com/bearddan2000/python-web-3d-matplotlib-line-parametric-curve-graph
A demo of creating a 3d line parametric curve graph.
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Last synced: 15 Apr 2026
https://github.com/nmerka/practicum_rep
Проекты курса Аналитик данных (Яндекс.Практикум)
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Last synced: 31 Jan 2026
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Investigate [No-show appointments] Dataset
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Number statistics app in Jupyter Notebook
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Last synced: 15 Apr 2026
https://github.com/codehub001/age-and-gender-detection
This AI-powered project detects faces and predicts age & gender from images or video streams using OpenCV and deep learning. 🧠💡 🔹 Face Detection 👀 🔹 Gender Classification 🏷️ (Male/Female) 🔹 Age Estimation 📊 (from predefined age groups) 🔹 Live Video & Image Support 🎥🖼️
argparse deep-learning numpy opencv pretrained-model python
Last synced: 15 Apr 2026