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: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/gyselle-marques/face-detection
Machine Learning: Face Detection System created using OpenCV.
colab-notebook face-classification face-detection machine-learning numpy open-cv-face-detection opencv opencv-python python
Last synced: 13 Apr 2026
https://github.com/theblueberrycompendium/keras-movie-classification
This is an basic application that uses Keras
ai keras-tensorflow numpy python3 simple-project
Last synced: 13 Apr 2026
https://github.com/adityashinde716/generating-images-with-gan-generative-adversarial-network-
Built a image generator deep learning model using GAN (Generative Adversarial Network) using MNIST dataset for generation.
adam-optimizer batchnormalization binarycrossentropy checkpoint deep-learning deep-learning-algorithms discriminator gan generative-adversarial-network generator glob imageio keras machine-learning matplotlib neural-network numpy os tensorflow
Last synced: 07 Oct 2025
https://github.com/disney35/stock-prices-dashboard
A dashboard to analyze, predict, and visualize stock prices using Python & LSTM
ema jupyter-notebook keras macd matplotlib-pyplot mfi numpy pandas python rsi scikit-learn sma streamlit tenserflow yfinance
Last synced: 12 Apr 2026
https://github.com/patilsukanya/assignment-06.-logistic-regression
Used libraries and functions as follows:
classifier concatination confusion-matrix eda linear-models logistic-regression logistic-regression-algorithm logit-model matplotlib-pyplot numpy one-hot-encoding pandas python roc-auc-score roc-curve seaborn
Last synced: 05 Oct 2025
https://github.com/akashash01/support_vector_machine
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data-science datavisualization machine-learning numpy pandas python sklearn svm-classifier
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https://github.com/hotequil/image-processing
Image processing.
jupyter-notebook matplotlib numpy opencv python
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https://github.com/ashishgoswami13/handgesture_recognition
Real-time hand gesture recognition using computer vision and deep learning. Collect gesture images, train a model with Google Teachable Machine, and classify gestures live for applications like drone control or human-computer interaction.
computer-vision cvzone handgesture-recognition keras numpy python teachable-machine
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https://github.com/christabelsakyi/tsec
This project implements a time series forecasting solution for predicting electricity consumption based on historical data. It provides multiple model options, a Flask API for deployment, and visualization tools.
facebook numpy pandas python sklearn time-series-analysis
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https://github.com/prarthana-singh/bangalore-house-price-predictor
🏡 Bangalore House Price Prediction – A Machine Learning model to predict house prices in Bangalore using real estate data. Built with Linear Regression, Python, Pandas, NumPy, and Scikit-Learn.
data-analysis eda house-price-prediction linear-regression machine-learning numpy pandas python real-estate regression scikit-learn
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https://github.com/pedasoft-consult/employee-attrition-prediction
This project implements a machine learning pipeline for predicting employee attrition using HR data. The system analyzes various factors that contribute to employee turnover and provides predictions to help HR departments take preventive measures.
joblib numpy pandas python3 sklearn streamlit
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https://github.com/yahiazakaria445/arabic-answer-grading-using-sequence-models
An NLP project on Arabic data using LSTM model
matplotlib nltk numpy pandas scikit-learn tensorflow
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https://github.com/thkox/uni_2023-content-based-image-retrieval
This project is a team assignment for the "Image Analysis" course, offered in the 7th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.
7th-semester cartesian-product content-based-image-retrieval department-of-informatics hyperedge-similarity-calculation hypergraph image-analysis matplotlib networkx numpy python rank-normalization scipy torchvision university-of-piraeus
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https://github.com/miladsade96/scwp
Scientific Computing with Python
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https://github.com/manjotkaurgill/agritech
Enter details of your soil and weather, and find best suitable crop for farming. With our advanced AI system, you can make informed decisions and optimize your agricultural practices.
flask generative-ai insight-generation machine-learning matplotlib mongodb nextjs numpy pandas python scikit-learn seaborn
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https://github.com/greatepee/book-recommendation-system
Book Recommendation System
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https://github.com/piyushxbhardwaj/credit-card-fraud-detection
In this project, we focus on developing a machine learning model to detect fraudulent transactions within credit card data. Credit card fraud poses a significant challenge to financial institutions and consumers globally, with traditional rule-based detection systems often struggling to adapt to new fraud tactics.
matplotlib numpy pandas python scikit-image seaborn
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https://github.com/rachakondaganesh/superstore-sales-data-analysis-project
Analyzed retail sales data to uncover key business insights using Python and Power BI. Explored patterns in profit, sales, and customer segments across regions. Built interactive dashboards to visualize trends, identify top-performing categories, and highlight areas for improvement in shipping and discount strategies.
dashboard exploratory-data-analysis matplotlib-pyplot numpy pandas powerbi seaborn
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https://github.com/nikhleshshukla123/web-scraping-using-python
scrapes multiple pages of Amazon search results using python.
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https://github.com/gherrada22/spanish-sign-translator
This project uses Python and the OpenCV and MediaPipe libraries to detect and translate signs in real time.
language matplotlib mediapipe numpy opencv pycharm-ide python python3 spanish-language toml
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https://github.com/bhavnanahar/coral_project
ChatGPT said: This project analyzes and predicts the health of coral reefs in the Florida Keys by examining coral cover and species richness trends over time.
colab-notebook matplotlib numpy pandas plotly python random-forest scikit-learn seabo
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https://github.com/gojoel/brockton-data-analysis
Analyzes police logs from the city of Brockton, MA and attempts predictive analysis.
data-science exploratory-data-analysis geopy machine-learning matplotlib numpy pandas seaborn
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https://github.com/tuokri/rs2simlib
Python library for Rising Storm 2: Vietnam physics objects simulation and automated data collection.
numba numpy physics rising-storm-2-vietnam simulation unreal-engine-3
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https://github.com/gopikrsmscs/mycinepick-recommendation-system
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https://github.com/tnel7/data-science-yandex-practicum
Проекты из Яндекс Практикума "Специалист по Data Science"
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https://github.com/paulokarabyna/ml-foundations-day1
🔧 Set up a Python environment and practice linear algebra with NumPy while plotting vectors and reflections in this Day 1 ML foundations starter repository.
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https://github.com/chandkund/housing-price-prediction
Predict housing prices using the Boston Housing Dataset. Covers data loading, cleaning, preprocessing, EDA, normalization, standardization, and regression models (Linear Regression, Decision Tree, Random Forest, Extra Trees). Evaluated with Mean Squared Error (MSE). Tech: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.
data-science data-visualization matplotlib numpy pandas pyhton sklearn sklearn-library sklearn-metrics
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https://github.com/adi3042/diamond_price_prediction
🔮💎 Explore the Diamond Price Oracle! Predicting diamond values based on your preferences and market trends. Your ultimate tool for informed decisions in the diamond world. Join us for the future of pricing! 💎✨🚀 #DiamondPredictor
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https://github.com/psgebeline/b2_plotter
A simple Python package for use by Belle II analysts to make various plots out of pandas dataframes and numpy arrays.
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https://github.com/anjaliwork20/heart-failure-prediction
Heart Failure Prediction in Humans
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https://github.com/ljadhav25/false-alarm-detection
The data was first pre-processed and analysis libraries like Numpy and Pandas were used to make it ready to be utilized by a machine learning algorithm.Problems like standard scaling, categorical data and missing values were handled with appropriate techniques. Then, we used LogisticRegression model.
flask flask-api logestic-regression numpy pandas pkl pycharm-ide python
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https://github.com/venkat-a/python-eda-exploratory-data-analysis-
This project focuses on conducting exploratory data analysis (EDA) using Python. Utilizing powerful libraries such as Pandas for data manipulation and Plotly for interactive visualization, the project aims to uncover insights from datasets through comprehensive analysis and visualization techniques.
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https://github.com/salma-mamdoh/the-android-app-market-on-google-play-project
My project aims to practice Data Analysis and Data Visualization on DataCamp
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https://github.com/akshay-kamath/anomaly_detection
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https://github.com/allanreda/automated-k-means-clustering-engine
An interactive K-Means clustering tool built with Flask and Scikit-Learn, supporting Excel file uploads, cluster analysis, and data export, deployed on Google Cloud Run via Docker with CI/CD integration.
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https://github.com/alisonmitchell/titanic
Exploration of a subset of the Titanic passenger manifest to create a predictive classification model to determine which passengers were more likely to survive.
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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
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https://github.com/fairlytales/machine_learning
Workbooks for machine learning and neural network courses, textbooks, etc.
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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
Last synced: 14 Apr 2026
https://github.com/probokrishnacahya/machine_learning
IMT01306601-A Machine Learning
ipynb machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/omcodewizard/nasa-battery-analysis
This repository contains code for analyzing battery data from NASA's battery testing dataset. The analysis involves processing battery impedance, electrolyte resistance, and charge transfer resistance across charge/discharge cycles to track the aging and performance of various batteries.
battery-impedence nasa-battery-dataset numpy pandas plotly python
Last synced: 09 May 2026
https://github.com/sudarshanc00/smishing
This project aims to classify text messages to detect potential smishing (SMS phishing) attacks. Using machine learning, the project provides a classifier that can differentiate between legitimate messages and smishing attempts, helping to prevent scams.
nltk numpy pandas python scikit-learn scipy
Last synced: 14 Apr 2026
https://github.com/ashutosh65000/invisible-cloak
Have you watched the Harry potter movie? The Invisible Cloak scene pushed me to make this small code.
image-processing numpy opencv-python
Last synced: 19 Apr 2026
https://github.com/chandkund/ev-market-segmentation
This project focuses on segmenting the Electric Vehicle (EV) market in India to identify key customer groups based on their preferences, behaviors, and demographics.
machine-learning matplotlib numpy pandas seaborn sklearn visualization
Last synced: 19 Jan 2026
https://github.com/umesh-01/python
Python is a programming language that lets you work more quickly and integrate your systems more effectively. Python is used for web development, AI, machine learning, operating systems, mobile application development, and video games.
ai application-development artificial-intelligence deep-learning machine-learning matpotlib ml nlp numpy open-source pandas python python-framework python-libraries python3 web-development
Last synced: 07 Apr 2026
https://github.com/sayidmushtaq/reportcard
Tracking and analyzing student grades. It calculates averages, identifies top performers, and generates performance reports with ease.👨🏼🎓👨🏼🎓
begginer-project numpy reporting-tool
Last synced: 27 Jan 2026
https://gitlab.com/DLR-SY/boxbeam
Boxbeam is a legacy Fortran tool translated to python. It calculates effective beam properties of composite cross sections comprised of rod-like elements.
Last synced: 12 Oct 2025
https://github.com/angelarreola/ai_notes
Notas de la materia "Inteligencia Artificial" para su posterior extraccion mediante algun modelo de lenguaje que nos permita dar respuestas personalizadas con base a la informacion presente en este repositorio.
ai matplotlib numpy pandas phaserjs python scikit-learn
Last synced: 21 Jan 2026
https://github.com/petcareai/dba
PetCare DBA Admin é um sistema web avançado desenvolvido especificamente para a administração e gerenciamento de bancos de dados da plataforma PetCare. Esta ferramenta foi criada para simplificar e otimizar o trabalho de administradores de banco de dados (DBAs) em clínicas veterinárias, hospitais veterinários e sistemas de gestão pet.
api dba front-end-development git numpy pandas-dataframe petcareai ploty postgresql python shell-script sql startup streamlit streamlit-webapp supabase supabase-auth supabase-db supabase-storage virtualenv
Last synced: 14 Apr 2026
https://github.com/abhishekyadav915/multiple_disease_prediction_using_ml
Developed a web-based application for predicting the likelihood of multiple diseases using machine learning models with accuracy up to 95%.
colab-notebook logistic-regression numpy pandas python3 sklearn spyder-python-ide streamlit-web streamlitcloud svm-classifier
Last synced: 05 May 2026
https://github.com/helabenkhalfallah/art-bloom
ArtBloom is a backend application designed for art enthusiasts and researchers.
analytics backend-api numpy pandas-python python recommendationsystem
Last synced: 22 Jan 2026
https://github.com/polyee99/kaggle-titanic-data-analytics
Jupiter notebook to predict the outcome of passengers who died or not in the tragical Titanic event.
data eda jupiter-notebook matplotlib numpy pandas python regression-analysis test-train-split visualization
Last synced: 05 Feb 2026
https://github.com/hansalemaos/cirdhighspeedcoverter
High speed conversion of IP addresses represented in CIDR notation into their corresponding start and end IPs, along with their respective subnet masks.
cidr data-manipulation ip-addresses ip-conversion network network-management network-security numpy pandas subnet-mask
Last synced: 27 Jan 2026
https://github.com/avik-pal/kaggle-titanic
Predicting whether a given set of people survive on the Titanic
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https://github.com/grand-27-master/fingers-tap
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Last synced: 14 Apr 2026
https://github.com/aqueeqazam/student-placements-using-machine-learning-and-flask
Through the use of Flask and machine learning, I show how to implement the student placement prediction model.
flask machine-learning numpy pandas
Last synced: 14 Apr 2026
https://github.com/mizcausevic-dev/embedding-drift-graph
Track how entity embeddings drift across encoder model versions. SQLite store + Strawberry GraphQL API. Cosine drift events computed automatically on every record. Reference impl for RAG/eval pipelines re-encoding their corpus.
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https://github.com/yulia-momotyuk/dla-data-analysis-practice
This repository contains my homework assignments completed during the "Data Analyst in IT" course at Data Loves Academy.
analytics data-analysis data-visualization excel mysql numpy pandas postgres powerbi python seaborn sql tableau
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https://github.com/icepanorama/internship-visualizations-and-demonstrations
A collection of some of the programs that I've written over the course of my internship.
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https://github.com/kriss024/python
Python for Data Science
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https://github.com/atul-maurya-30/galaxy
Galaxy Classification is a machine learning project focused on classifying galaxies into two subclasses: 'STARFORMING' and 'STARBURST'. This project demonstrates data preprocessing, model training, and evaluation using advanced machine learning techniques and Python libraries.
flask machine-learning matplotlib numpy pandas python regression-classification seaborn sklearn
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https://github.com/apbetioli/neural-network
A simple neural network implementation
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https://github.com/luliatuccu/weather_analysis
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https://github.com/jsd115/tensorflow_bankfrauddetection
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https://github.com/ggrbill/phd-plot-scripts
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https://github.com/OneMoreDavid/python-like-a-boss
This is where I stash my Python study material.
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https://github.com/tanzim-prog/sentiment_analysis_ml_stringdata
The motive of this project is to find out the customer satisfaction of some residential hotels of Dhaka.
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https://github.com/hygull/pyrandocs
A repository (pyrandocs i.e. Python's v2/v3 random documents/files) containing different Python v2/v3 based resources (files/documents etc.) from random topics. A project to try different Python's features.
base64 beautifulsoup class exception-handling hashlib json jwt-authentication loops matplotlib nltk numpy pandas python2 python27 python3 requests searching time-complexity urllib urllib2
Last synced: 15 Apr 2026
https://github.com/legendarym4x/data_science
Data Science Course
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https://github.com/davityak03/english-audio-to-hindi-text-using-pretrained-model
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https://github.com/vladimiracunadev-create/python-data-science-program
Python Data Science Program — 197 clases en 9 partes. Pauta avanzada derivada de Géron, VanderPlas, Huyen, ISLP y Barocas/Hardt/Narayanan. Recurso personal de aprendizaje, enseñanza y mejora continua.
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Last synced: 01 Jun 2026
https://github.com/murugavl/forage_tata_genai_powered_data_analytics
This repository showcases my work from the TATA GenAI Powered Data Analytics Virtual Experience on Forage, where I applied data cleaning, analysis, and visualization techniques to derive actionable business insights.
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Dostoevskian agent-based simulation: seven literary archetypes as a unified reward decomposition. Anti-optimisation, dignity-as-utility, ideological cascade, gambler-ruin — pre-registered H1-H4 with bootstrap CI / BH-FDR / Cliff's delta.
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https://github.com/josttim/timelined_array
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https://github.com/manasashetty01/regulatory-affairs-of-road-accidents
Regulatory Affairs of Road Accidents in Million-Plus Cities (India, 2020)
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https://github.com/brendandasilva/applieddatascience
4 projects from Applied Data Science
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https://github.com/crispengari/netflix-statistics
This is the visualisation of two categories of netflix movies which are: * movies * tv shows
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Last synced: 27 Apr 2026
https://github.com/lupin3000/tello-python
Python application to control the DJI Tello Drone with different controllers.
debian dji-sdk djitellopy drone dualsense-controller evdev hidapi macos numpy opencv python stadia-controller tello unihiker
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https://github.com/saptarshi11/diamlp---diabetes-classification-with-multilayer-perceptron
Diabetes Classification using Multilayer Perceptron (MLP) is a binary classification problem where the goal is to predict whether a patient has diabetes (positive class) or not (negative class) based on a set of biomedical features or risk factors.
artificial-neural-networks binaryclassification machine-learning mlp-classifier numpy seaborn
Last synced: 27 Apr 2026
https://github.com/moonmoonsamal/data-driven-google-ads-for-listing-sites-analysis
Analyzed Google Ads performance to identify top channels, keywords, and geographical impact
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https://github.com/gyselle-marques/calculodemetricas-desafiodio
Machine Learning: Cálculo de Métricas de Avaliação de Aprendizado em Python.
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Last synced: 27 Apr 2026