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: 2026-07-02 00:21:34 UTC
- JSON Representation
https://github.com/naharashu/num.js
Fast and big library for mathematics and science work(analog of numpy for js)
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Last synced: 07 May 2025
https://github.com/jhonatanthiago/projeto_inteligencia_artificial_em_python
Python IA: Inteligência Artificial e Previsões
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https://github.com/rabbicse/face-app
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https://github.com/wauro21/smcc
SMCC (SMC_core) allows for direct communication and control of the Serial-Motor-Controller project via Python-code.
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https://github.com/drcbeatz/aynm-data
Python scripts for data cleaning and processing for AYNM (Pandas/NumPy/Selenium/AWS Textract)
automation aws-textract csv data-analysis data-cleaning ipynb numpy ocr pandas python reverb selenium shopify webscraping xml
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https://github.com/ahasannn/real-time-expression-detector
A Real Time Expression Detector using Python and Machine Learning
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https://github.com/kientech/diabetes-prediction-with-machine-learning
The Diabetes Prediction with Machine Learning project aims to predict the likelihood of an individual developing diabetes based on various health parameters and demographic information.
fastapi machine machine-leaning matplotlib mongodb numpy pandas python reactjs seaborn
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https://github.com/SerratoTech/Python3-for-Finance
Investment fundamentals & data analytics exercises
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https://github.com/gokulgowthams/smart-premium
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https://github.com/alicbm/learnlytics-code
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https://github.com/prajwalchapke055/sih-1505---smart-india-hackathon-2023
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https://github.com/ahmednurabdii/data-analytics-portfolio-superstore
My first portfolio project showcasing data cleaning, analysis, and visualization of Superstore sales data.
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https://github.com/Udacity-MachineLearning-Internship/finding_donors
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https://github.com/gokulgowthams/clickstream-customer-conversion
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Genetic algorithm to iteratively generate an image resembling an original image
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A small code for understanding linear regression.
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Analyzes housing data from Beijing city
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https://github.com/gaurav9364/credit-card-fraud-detection
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Explore the Essay Quality Prediction project—a machine learning model that predicts essay quality based on typing behaviors. Leveraging a Random Forest Regressor, this tool provides insights into writing processes. Connect with me on LinkedIn and find more projects on GitHub. Happy coding! 📝✨
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How to handle missing or incomplete data
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https://github.com/xmcp/waver
Wave file generator
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A Python-based application for generating various types of charts and graphs from user-input data.
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https://github.com/akku-1206/zomato_scrapping
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https://github.com/bestmahdi2/uni__pythonsupportvectormachinesbinaryclassification
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https://github.com/amir78729/numpy-image-manipulation
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https://github.com/2000pawan/data_science.
Complete Data Science, NumPy, Pandas, Matplotlib, Seaborn, Statistics, Power Bi, Machine Learning.
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https://github.com/FredStober/cpp2numpy
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https://github.com/yash-rewalia/stock-closing-price-prediction-using-regression
The ultimate business objective is to leverage the regression model to provide accurate predictions of the closing price of AMRN stock, enabling stakeholders to make well-informed investment decisions, manage risks effectively, optimize portfolios, Early warning systems to alert any fraud cases and align investment strategies with financial goals.
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https://github.com/hokagem/damagedlogginganalyzer
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https://github.com/islam-hady9/heart-attack-analysis-prediction-using-ann
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https://github.com/wkrzywiec/polish-crops
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time series analyse with python language
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https://github.com/santoshn86/image-classification
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Template alur kerja machine learning.
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https://github.com/karan-malik/fakenewsdetection
Using Machine Learning and NLP to segregate the unreliable and reliable news articles
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https://github.com/burhanahmed1/data-analysis-with-python
Data-Acquisition and Basic Insights, Data Wrangling, Exploratory Data Analysis (EDA), and Training Prediction Models(Machine Learning) on two datasets.
data-analysis data-aquisition data-insights data-science data-wrangling dataanalytics datascience-machinelearning eda exploratory-data-analysis machine-learning-models matlpotlib numpy pandas practice-programming prediction-model python scikit-learn scikitlearn-machine-learning seaborn
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https://github.com/vinicius999/eda-basketball-streamlit
Simple web application for viewing, filtering and analyzing Basketball data using Stremlit.
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Last synced: 07 Apr 2026
https://github.com/dkealvaro/mnist
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https://github.com/vartikaraj2512/animalclassification
🐾 Animal Classification: Classify 28K animal images into 10 categories using CNNs with Transfer Learning. 📥 Load & extract data, 🔄 preprocess images, 🧠 train models (VGG-16 & ResNet50), and 📈 plot performance. Libraries: OpenCV (BGR), TQDM (progress bars), Categorical (one-hot encoding). 🛠️ Install: pip install tensorflow numpy opencv-python
classification cnn kaggle machine-learning numpy opencv pandas tensorflow
Last synced: 20 Jan 2026
https://github.com/szilagyipeter99/imageprocessing
This repository contains the examples discussed in the Image processing practices.
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https://github.com/kentlouisetonino/sw-statistics-calculator
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https://github.com/mr-chang95/ibm_recommendation_system
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experimental-design ibm-watson machine-learning numpy pandas recommendation-engine recommendation-system udacity-data-science-nanodegree
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https://github.com/gandhasiri-rahul-mohan/association-rules-2-my-movies
Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots
apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-learning
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https://github.com/mrarvind90/fcc-mean-var-std-calculator
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Last synced: 19 May 2026
https://github.com/algab/recommedation-content-based
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https://github.com/adolbyb/data-science-python
An Introduction to Data Science and Data Visualization with the FAU Data Science and Machine Learning Club
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Last synced: 13 Apr 2026
https://github.com/buathiertom/pictures-stacking
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https://github.com/vmariiechko/python-image-processing
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https://github.com/abhilash1910/deepgenerator
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https://github.com/reusjimenez/python-data-analysis
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https://github.com/ioangatop/machinelearning
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https://github.com/rakibhhridoy/imageprocessing
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https://github.com/medyessinkhlif/medclaimml
An AI-powered machine learning application designed to process healthcare reimbursement claims. It analyzes medical documents, client information, insurance policies, and legal regulations to predict accurate reimbursement amounts, ensuring efficiency, compliance, and fraud detection.
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Task 01: Predict the percentage of an student based on no of study hours with Supervised Machine Learning
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https://github.com/shahin-ro/table-detection
Python tool for table extraction & Persian OCR. Uses OpenCV for table detection, Tesseract for text extraction, & Pandas for data output. Visualizes cells & text. Ideal for Persian documents! 📄✨
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https://github.com/jayanthpotluri5513/ml-project-on-iris-dataset-
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https://github.com/rushikeshbihade/django_bsased_dataanalyzer_webapp
Data Analyzer is a Django web application that enables users to upload CSV files, perform data analysis using pandas and numpy, and view results and visualizations on an interactive web interface. It simplifies data analysis by offering a user-friendly platform for data upload, processing, and visualization.
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https://github.com/aisurjyasamantaray/customer-purchase-analysis
This project involves an in-depth analysis of customer purchasing behavior and sales performance to drive business insights and strategies.
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https://github.com/reddyprasade/bicycle-sharing-system-in-us
A bicycle-sharing system, public bicycle system, or bike-share scheme, is a service in which bicycles are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" and return it at another dock belonging to the same system. Docks are special bike racks that lock the bike, and only release it by computer control. The user enters payment information, and the computer unlocks a bike. The user returns the bike by placing it in the dock, which locks it in place. Other systems are dockless. For many systems, smartphone mapping apps show nearby available bikes and open docks.
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https://github.com/cskhomo/scientific-python
Scientific Computation, Data Analysis using Python, Bash, SQL for FreeCodeCamp Courses.
numpy postresql shell-scripting
Last synced: 14 May 2025
https://github.com/khadkarajesh/wine-prediction
White and Red Wine classification using logistic regression
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Last synced: 08 Apr 2026
https://github.com/theanujsinha01/rainfall-prediction-using-machine-learning
This project predicts whether it will rain or not based on weather features like pressure, humidity, dew point, cloud cover, sunshine, wind direction, and wind speed. We use a Random Forest Classifier, a popular ML algorithm, trained on historical weather data. The model learns patterns and helps us forecast rain chances.
classification data-analysis eda machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn supervised-learning
Last synced: 11 Apr 2026
https://github.com/kostasereksonas/ids_test
Code for intrusion detection system based on "Intrusion Detection System Using Machine Learning Algorithms" tutorial on Geeksforgeeks and Intrusion Detection on NSL KDD Github repository.
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Last synced: 08 Apr 2026
https://github.com/cchandre/confkam
Conjugation method in configuration space for invariant tori of Hamiltonian systems
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Last synced: 06 May 2026
https://github.com/davityak03/animal-image-classification-using-cnn
Animal image classification using Convolutional Neural Networks (CNNs) involves training a model to recognize and categorize different animal species based on their images. The CNN architecture excels at automatically extracting features from images, such as shapes and textures, which are crucial for accurate classification.
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Last synced: 08 Apr 2026
