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/biantris/graph-python
Graph sin vs cos using matplotlib and numpy
matplotlib numpy python python3
Last synced: 21 May 2026
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
Last synced: 11 Apr 2026
https://github.com/mrarvind90/fcc-mean-var-std-calculator
A Python program to compute the mean, variance, standard deviation, maximum, minimum, and sum of a given list, both flattened and along specified axes using Numpy.
black freecodecamp freecodecamp-challenge freecodecamp-project numpy python3
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https://github.com/raghul-m/data-analysis-with-jupyternotebook-python
This repository consists of notebooks where I learned the basics of getting started with data analysis using Python libraries
beautifulsoup4 data-analysis-python eda jupyter-notebook matplotlib-python numpy pandas-python regular-expression seaborn-python webscraping
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https://github.com/algab/recommedation-content-based
Application of film recommendations from the IMDB database, using as a strategy the content-based recommendation
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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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https://github.com/zacheddy/imageclassifier
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https://github.com/sirinemaaroufi/arabic-sentiment-analysis
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https://github.com/amritakaur-08/smart_attendance_system
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https://github.com/apoorva-info/cognitive-load-using-blink-rates
Analyzing blink rates and task performance to measure cognitive load during digital span tasks using a custom Python tool.
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https://github.com/vmariiechko/python-image-processing
Raster graphics editor
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https://github.com/abhilash1910/deepgenerator
Sentence Sequence Transduction Library (Seq to Seq) for text generation using sequential generative Vanilla RNN using numpy
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https://github.com/kientech/crop-recommendation-with-machine-learning
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https://github.com/dyegopimentel/sentiment-analysis-and-wordclouds-in-python
We developed a sentiment analysis algorithm and at the end we bring a wordcloud to give an overview of what is being said about the topic we are analyzing.
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https://github.com/carlolepelaars/skq
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https://github.com/wyllduck/pygame_escapefromgaia
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https://github.com/thekartikeyamishra/voicecloner
The Voice Cloner is a Python-based project that leverages Tacotron 2 and WaveGlow models for text-to-speech (TTS) synthesis and basic voice cloning. This project supports 22 official Indian languages, including Sanskrit, making it versatile for multilingual text input.
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https://github.com/miladsade96/numpy_and_algebra
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https://github.com/ryanfranklin237/data-science-ml
trained ML and DL models to give accurate classifications,predictions and recommendations
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🦅 Artifical Swarm Intelligence
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https://github.com/hedriss10/projetc-cardio
"Analise de dados sobre saúde"
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https://github.com/zaaim-halim/image-processing
an implementation of different filters and operations on images using Numpy and little help from OpenCV and PILL
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https://github.com/ioangatop/machinelearning
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https://github.com/officiallyxenos/30-days-of-data-analysis-projects-
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https://github.com/fractalyze/zk_dtypes
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https://github.com/ksasi/boston_housing
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https://github.com/its-maneeshk/fake-product-detection-system
The Fake Product Review Detection System is a machine learning-powered web application designed to analyze and detect fake reviews on eCommerce platforms. It helps users identify whether a product has genuine or manipulated reviews by leveraging Natural Language Processing (NLP) and supervised learning models.
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https://github.com/rakibhhridoy/imageprocessing
Large amount of image processing is quite messy and time consuming,thus the working steps should be fast as well as accurate also. I've made sequential functions that is needed for processing data in TensorFlow and python. These functions made my work fast as it needed in commercial purposes.
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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/virajbhutada/article-recommendation-system
This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.
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https://github.com/florianwoelki/mnist_fashion_cnn
This is a classification problem based on the mnist fashion dataset. I've used a CNN to classify the images.
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https://github.com/jayanthpotluri5513/ml-project-on-iris-dataset-
In this machine learning project, we explore and analyze the famous Iris dataset. The goal of the project is to apply various machine learning techniques to classify the Iris flowers based on their measured features.
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https://github.com/KernFerm/PresFutImpactSim
This repository contains a Python simulation model that forecasts political, economic, and social factors under a hypothetical presidency. Users input initial values, and the model simulates their progression through defined interactions and random variations.
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https://github.com/earth-app/doc2lora
Generate LoRA Adapters from documents
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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/nitsc/spell-from-threebodytrilogy
Implemented the process of extrapolating from Gaia stellar data, to 3D visualizations, to three-views, to three-view signals, to three-view audio of signals, and even their inversions. This project proves the feasibility of the Logic (Luoji)'s “spell” from “The Three Body Problem” trilogy.
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https://github.com/cskhomo/scientific-python
Scientific Computation, Data Analysis using Python, Bash, SQL for FreeCodeCamp Courses.
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https://github.com/savitar-hub/image-classification
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This project aims to predict Prices of House. It involves several key stages, including data preprocessing, feature engineering, model selection, and evaluation. The goal is to develop a model that provides accurate and reliable price predictions based on the given features.
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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
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https://github.com/cchandre/confkam
Conjugation method in configuration space for invariant tori of Hamiltonian systems
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https://github.com/anish202020/data-analysis-and-machine-learning-basic-programs
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https://github.com/antonvagabond/maze
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https://github.com/dmarks84/ind_project_california-housing-data--kaggle
Independent Project - Kaggle Dataset-- I worked on the California Housing dataset, performing data cleaning and preparation; exploratory data analysis; feature engineering; regression model buildings; model evaluation.
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https://github.com/geetisha/advanced-eda-and-text-mining
Advanced EDA and Text Mining
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https://github.com/geetisha/web-scraping-and-sentiment-analysis
Web Scraping and Sentiment Analysis
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https://github.com/pavankethavath/dominos---predictive-purchase-order-system
This advanced forecasting tool leverages Prophet, ARIMA, SARIMA, and LSTM models to predict daily sales for 32 pizzas and 64 ingredients. With Prophet achieving the lowest MAPE, it ensures accurate demand forecasts, optimized inventory, and efficient purchase planning, reducing waste, preventing stockouts, and enhancing supply chain efficiency.
arima deep-learning eda exploratory-data-analysis forecasting lstm machine-learning mape matplotlib minmaxscaling numpy pandas prediction python sarimax seaborn seasonality tensorflow time-series
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https://github.com/moustafamohamed01/moustafamohamed01
Software Engineering Student | Specializing in Machine Learning, Deep Learning, and Generative AI
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https://github.com/tawabshakeel/neural-networks-using-keras
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https://github.com/iamshatha/disease-symptom-analysis
The data file defines the relationship between different symptoms and possible diseases
analysis dataset disease matplotlib numpy python symptoms
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https://github.com/tristan296/deepplate
A custom-trained YOLOv11-based license plate detection with PaddleOCR for accurate ANPR.
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https://github.com/sourabh-kumar04/numpy-basic
Numpy-Basic is a structured learning repo covering NumPy from basics to advanced. It includes arrays, indexing, reshaping, filtering, vector ops, angle functions, stats, and .npy file handling. Each concept is explained with code, examples, and Matplotlib visualizations in both light and dark modes. Ideal for students and data learners.
data-analysis data-science data-visualization learning learning-resources machine-learning matplotlib numerical-computing numpy python python-library python-programming
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https://github.com/uhstray-io/pyrizon
Data Collection, Analysis, Mapping, Pipelining & Transformation, & API using Python
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https://github.com/msthamizh/singapore-resale-flat-prices-predicting
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https://github.com/tasninanika/heart-disease-analysis
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https://github.com/sumitgirwal/drinks-dataset-data-analysis
A drinks dataset from Kaggle. Applying analysis using Python, NumPy, Pandas, Matplotlib.
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https://github.com/pooranjoyb/autoencoder-colorization
Autoencoder for Image Colorization
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https://github.com/nikorasu/snakeai
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https://github.com/xaxtric7/learn-numpy
🧮 Welcome to my NumPy Practice repository! This repo contains my hands-on learning, notes, and code experiments as I dive into the fundamentals and advanced features of NumPy – a powerful library for numerical computing with Python.
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https://github.com/santiagoenriquega/custom_ensemble_learning
This repository focuses on building a random forest classifier and regressor as well as a gradient boosted regressor, building them from scratch using only NumPy for faster array processing.
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https://github.com/melihcanndemir/3d-fractal-explorer
Interactive 3D visualization tool for exploring the mesmerizing world of Mandelbrot and Julia fractals. Built with Python, OpenGL and PyQt5, offering real-time animation and intuitive controls.
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https://github.com/elhariri78/case-study-a-better-smoker-detector
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Last synced: 09 Apr 2026
https://github.com/sarah-ribeiro/curso-pandas-alura
A comprehensive project comprising numerous exercises developed within an Alura course focused on Pandas.
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Last synced: 01 Aug 2025
https://github.com/athul64/exploratory-data-analysis
To preprocess and analyze the given employee dataset, present the findings graphically, and derive meaningful insights to help better understand the company’s workforce.
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Last synced: 25 Feb 2026
https://github.com/gourab-sinha/machine_learning
This repository consists of Machine Learning Concepts and Projects.
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https://github.com/ayaanjawaid/vizualite
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https://github.com/bessarodrigo/dataviz_sales_retail
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Last synced: 09 Apr 2026
https://github.com/kientech/calories-burnt-prediction-with-machine-learning
The Calories Burnt Prediction with Machine Learning project aims to predict the number of calories burned during physical activities based on various factors such as duration, activity type, age, weight, and more.
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https://github.com/louis-finegan/convection-diffusion-models-finite-difference-method-python3
Applying the finite-difference method to the Convection Diffusion equation in python3. Examples included: One dimensional Heat equation, Transport equation, Fokker-Plank equation and some two dimensional examples.
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https://github.com/nelsontanko/face-recogition-system
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https://github.com/vortexv7/engagevision-yt
Thumbnail Engager is a Streamlit-based web app that uses AI to analyze YouTube thumbnails, providing actionable feedback to improve engagement. Upload a thumbnail to get insights on its strengths, weaknesses, and tips for maximizing views. Perfect for creators looking to optimize their visuals!
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https://github.com/shriram-vibhute/data-analysis
This repository offers a comprehensive collection of data analysis techniques using NumPy Pandas, Matplotlib and Seaborn.
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https://github.com/ahammadshawki8/numpy-journey
🎉 Welcome to the journey with NumPy! From this repository, You can learn all about Numpy. ✔
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https://github.com/theanujsinha01/customer-segmentation-using-k-means-clustering
This project focuses on customer segmentation using the K-Means clustering algorithm. A user-friendly Streamlit dashboard allows users to upload their own dataset, choose any two numeric features (like age, income, or spending score), and perform clustering. The app dynamically visualizes customer groups, recommends the best number of clusters
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https://github.com/willprice/arsenal
Personal arsenal of python utilities
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https://github.com/tynab/lottery
Xổ số kiến thiết
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https://github.com/paulo-santos-ds/rotatividade_de_clientes
A operadora de comunicações InternetGO está interessada em prever a rotatividade de seus clientes (churn). Se for identificado que um usuário está planejando trocar de operadora, a empresa poderá oferecer códigos promocionais e opções de planos especiais para evitar a perda desse cliente.
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https://github.com/arunagirinathan-k/text-classifier-using-nlp_techniques
A Text Classification using NLP Techniques.
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https://github.com/shreeparab1890/movie-recommender-system
This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.
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Last synced: 09 Apr 2026
https://github.com/ankushmallick1100/Diabetes-Prediction-of-Females-using-Maching-Learning-Techniques
This is a machine learning project that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LRwith CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library. Paper is ongoing.
classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier
Last synced: 29 Sep 2025
https://github.com/RedInfinityPro/Laser-Strategy
Rating: (8/10): Is an interactive graphical simulation using Pygame library, featuring laser and detector dynamics. It includes pathfinding, collision detection, and dynamic object interactions. The game allows dragging, checking for collisions, and updating object states.
math numpy pygame random sys time
Last synced: 30 Sep 2025
https://github.com/malwarebo/carcinet
Basic breast cancer detection using Machine Learning
deep-learning keras machine-learning matplotlib numpy python3 scipy tensorflow
Last synced: 09 Apr 2026
https://github.com/matheussc017/irisclassification_sklearn
Application of Machine Learning technique to classify 3 types of iris flower
data-science machine-learning numpy pandas python
Last synced: 09 Apr 2026