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/utkarsh251106/tracking-with-yolo
This project uses YOLOv8 and DeepSORT to detect and track children and adults in video streams. It assigns unique IDs, handles re-tracking after occlusions, and outputs an annotated video with labeled bounding boxes.
computer-vision deep-learning deepsort machine-learning numpy opencv python torch ultralytics yolov8
Last synced: 30 Jan 2026
https://github.com/isk-daniar/-contrast-improvements-on-pil
Contrast improvements on PIL
Last synced: 10 Jun 2026
https://github.com/nishthasharma-22/binary-black-hole-merger-gravitational-waves-simulation
Repository of all astronomy related projects, including: Gravitational Waves graph from binary black hole merger
astrophysics blackhole-merger gravity-simulator matplotlib numpy python scipy
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https://github.com/thavinduushan/object-detection
Application developed for real-time object detection and counting utilizing COCO dataset
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https://github.com/apuravdivekar2032/real-estate-price-prediction
A real estate price prediction website developed using Python with Numpy and Pandas for data cleaning Matplotlib for data visualization and scikit-learn for model building, featuring a Flask server to handle HTTP requests and integrates a user-friendly UI built with HTML, CSS, and JavaScript
flask html-css-javascript jupyter-notebook matplotlib numpy pandas pycharm python3 sklearn vscode
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Machine Learning: Rotulação de uma base de dados e aplicação de transfer learning com a rede YOLO.
brazilian-portuguese coco coco-dataset colab-notebook dataset dio-bootcamp image-classification machine-learning neural-network numpy object-detection python transfer-learning yolo
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matplotlib numpy pandas python scikit-learn
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numpy opencv opencv-python pycharm vscode
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This Jupyter Notebook implements a tool to check whether two sentences are paraphrases by analyzing their semantic similarity using NLP techniques. It provides a similarity score and a binary decision to indicate if the sentences are paraphrases.
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Analysis of COVID-19 infection rates in various countries, correlating them with factors such as GDP per capita and social support.
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This repository contains the analysis and visualization of data from a home cleaning services dataset. The project provides valuable insights into revenue generation, customer trends, and regional performance, helping businesses make data-driven decisions.
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machine learning-powered energy consumption prediction system that analyzes historical data to forecast future energy usage trends, optimizing efficiency and sustainability.
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Sign Language Recognition using Deep Learning : ~ Built a model to recognize American Sign Language (ASL) for letters A–Z and digits 1–9 ~ Achieved ~89% validation accuracy using a Convolutional Neural Network (CNN) ~ Used data augmentation techniques to improve generalization ~ Visualized predictions to test the model on real samples
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https://github.com/ashithapallath/comparison-of-ssd-sad-in-motion-estimation-of-video-coding
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https://github.com/hariprasath-v/machinehack_analytics_olympiad_2023
Create a machine learning model to determine the likelihood of a customer defaulting on a loan based on credit history, payment behavior, and account details.
binaryclassification catboost exploratory-data-analysis machine-learning numpy pandas python scikit-learn shap
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https://github.com/barraharrison/seoul-bike-sharing
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https://github.com/elijah-1994/modelling-airbnbs-property-listing-dataset
Training and Evaluating classification and regression model use cases on the Airbnb dataset.
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https://github.com/ashkarin/rawimage
Read and write RAW images (or data arrays) without a headache.
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PhD Technical Paper 1 - Phase 2 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available
data-pipelines data-science data-visualization machine-learning matplotlib-pyplot numpy pandas-dataframe python scipy-stats sklearn statistics
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https://github.com/abeertechcamus/documentdata
The dataset was cleaned and queried using Python inside Jupyter Notebook and visualizes using PowerBI Document Data Analysis Projects
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https://github.com/harmanveer-2546/campus-placement-prediction
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https://github.com/riyajain255/customer-segmentation-for-e-commerce
This project analyzes online retail data to segment customers using K-Means clustering and build classification models to predict those segments based on purchasing behavior.
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https://github.com/zakintaliban/indonesia-train-passenger-forecasting
A project to analyze and forecast train passenger numbers in Indonesia using Python, Pandas, and Scikit-learn.
bps data-analysis data-science dataanalysis datascience forecasting indonesia kereta-api machine-learning machinelearning numpy pandas python scikit-learn scikitlearn seaborn time-series
Last synced: 29 Apr 2026
https://github.com/kushalagarwalla/netflix-movie-data-analysis
🚀 Netflix Data Analytics Project 🎬📊 | Analyzed 9K+ movies to uncover insights on genres, popularity, votes & release trends. Includes EDA, KPIs & visualizations using Python (Pandas, NumPy, Matplotlib, Seaborn). Supports data-driven content & engagement strategy.
data-analysis data-visualization jupyter-notebook numpy pandas python seaborn
Last synced: 06 May 2026
https://github.com/samiksha29-patil/flipkart-mobiles-data-analysis-visualization-in-python
This project analyzes Flipkart Mobiles Dataset to extract useful insights about mobile phones, their pricing, ratings, discounts, and customer reviews. The analysis and visualization are done using Python to understand market trends and customer preferences.
data-analysis data-visualization matplotlib numpy pandas python seaborn
Last synced: 04 May 2026
https://github.com/makcoder-2004/exploratory-data-analysis-projects
This repository features Exploratory Data Analysis (EDA) projects using Python, Pandas, NumPy, Matplotlib, and Seaborn to clean, explore, and visualize data. The goal is to uncover patterns, trends, and insights through statistical analysis and clear visualizations, preparing datasets for deeper analysis or modeling.
csv-files dataframes jyputer-notebook matplotlib numpy pandas seaborn
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https://github.com/4ngelojr/ai-ml-cheatsheets
🗂️ Access essential AI and ML concepts with quick-reference cheatsheets for effective learning and project implementation.
bigdata cheatsheet computer-science convolutional-neural-networks data-science deep-learning dl excel hadoop keras linux neural-networks numpy pig plotly probability sql statistics
Last synced: 01 May 2026
https://github.com/vitor-ace/sunspots-data-analysis
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data-analysis data-visualization debbuging error-handling file-handling matplotlib-pyplot numpy pandas python
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https://github.com/jaketherealone/machinelearningtoolset
Collection of primary tools used in the field of machine learning - Written for numpy projects
machine-learning numpy python toolset
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https://github.com/shotadft/vecposlib
This is a library that enables vector calculations in Python.
math math-library numpy python python-lib python-library python3
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https://github.com/rarawe/taskly
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celery flutter-app hacktoberfest numpy pandas pydata queue queue-workers queued-jobs redis redis-queue scikit-learn scipy task-runner
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https://github.com/har8899/students-scores
Data Analysis with Python
dataanalysis dataframe matplotlib numpy python seaborn
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https://github.com/mirzaazwad/tymbert
TYMBert is our submission for NCIM 2025, a spam classifier that makes use of knowledge distillation to compress the model while preserving accuracy
bert huggingface-transformers knowledge-distillation machine-learning matplotlib numpy pandas python3 scikit-learn tiny-bert torch
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https://github.com/stefagnone/text_adventure_game
A text-based adventure game project using Python fundamentals
matplotlib numpy pandas python r scikit-learn seaborn sql
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https://github.com/nandit123/python_on_excel
Data Analysis using python libraries on excel data
csv data-analysis data-science fill fluctuations graph numpy python python-library
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https://github.com/rajireddy15/employee-attrition-prediction-hr-analytics-
Employee Attrition Prediction (HR Analytics) helps organizations analyze employee data, identify factors driving turnover, and predict attrition using machine learning and visual dashboards, enabling data-driven HR decisions and retention strategies.
data-cleaning data-collection data-manipulation data-preprocessing data-science data-visualization eda feature-engineering imbalanced-data machine-learning mysql-database numpy pandas
Last synced: 04 May 2026
https://github.com/ajxxxs/spotify-music-analysis
spotify Music (web scraped playlists ) analysis (over 3 states) , trends, features and a music recommendation system.
matplotlib numpy panda scikit-learn seaborn
Last synced: 28 Jul 2025
https://github.com/arijitdas0211/live-image-capture-and-emotion-detection
colab-notebook numpy pandas python scipy
Last synced: 29 Jul 2025
https://github.com/morsalinislamshapon/diabetes-prediction-systemv3
This repository contains a machine learning model that predicts diabetes using user health data. It features an interactive web interface built with Streamlit and provides insights into model predictions through SHAP and permutation importance. 🐙🌟
jupyter-notebook machine-learning matplotlib numpy pandas plotly randomforestclassifier sckit-learn seaborn streamlit-webapp
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https://github.com/ledsouza/MedPhys-BI
Aplicativo desenvolvido para gestão e análise de dados do Serviço de Física Médica em Medicina Nuclear do HCPA
aws boto3 cloud-computing cloud-run docker dotenv gcp mongodb numpy os pandas plotly pymongo python s3 streamlit terraform vitrinedev yaml
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https://github.com/youssefali11997/free-style-coding
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bash javascript numpy python3 ruby-on-rails scripts vuejs
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https://github.com/vigneshvaranasi/breast_cancer_detection
This project employs machine learning, focusing on Logistic Regression, to detect breast cancer using tumor-related features. The dataset is preprocessed, and the model achieves 100% accuracy on the test set. The goal is to gain insights into breast cancer factors and provide an effective detection solution.
jupyter machine-learning matplotlib numpy pandas python scikit-learn
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https://github.com/sakshithbillava/expense-manager
A web-based expense tracking app built with Python and Streamlit, featuring real-time updates, data visualization, user authentication, and MongoDB integration.
authentication data-visualization expense-manager matplotlib mongodb numpy pandas personal-finance python streamlit webapp
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The project explores multiple machine learning algorithms and evaluates their performance using various metrics, such as accuracy and confusion matrices. The models tested include Logistic Regression, K-Nearest Neighbors (KNN), Naive Bayes, and Support Vector Machine (SVM). In addition, regularization techniques (L1, L2) are used to avoid overfit.
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https://github.com/celineboutinon/chicken-run
OpenClassrooms Data Analyst 2022-2023 - Projet 9
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https://github.com/owenl0000/housepricesproject
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https://github.com/blinksta1ker/co2-prediction
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https://github.com/klima7/numpynet
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https://github.com/mrandolph95/grad-projects
Projects completed during my ASU grad program for Social Data Science.
beautifulsoup nltk numpy pandas regression-analysis sckiit-learn seaborn selenium
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https://github.com/mrmalik2512/catsvsdog.github.io
A CNN model integrated with flask backend the project is trained on image data of dogs and cats and integrated with a website predicts the given image is dog or a cat
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https://github.com/gitluffywd/advanced_video_stabilization_and_roi_pixel_analysis
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"Heart Attack Risk Prediction" uses machine learning to estimate the likelihood of a heart attack based on user-provided data like physical attributes, symptoms, and medical history. This system enables remote screening, identifying high-risk individuals, and easing medical system burdens by providing early, data-driven health risk assessments.
boruta knn-algorithm matplotlib numpy pandas python scikit-learn
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https://github.com/wasifsohail5/virtual_mouse
Virtual Mouse is an AI-powered, gesture-based control system that replaces traditional peripherals with hand movements. Using MediaPipe for hand tracking and PyAutoGUI for cursor control, it enables seamless clicking, scrolling, and navigation through simple gestures. Experience a futuristic, touchless interaction with your PC! 🚀🖱️
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https://github.com/azaz9026/eda
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We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.
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https://github.com/akshatkmistry/parkinsons_disease_predictor-voice_measures
This project implements a machine learning system to detect Parkinson's disease using voice measurements. The application uses a Random Forest classifier trained on voice feature data to predict the likelihood of Parkinson's disease with high accuracy (94%).
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https://github.com/kasraskari/tumor-predict
Streamlit app for predicting tumor malignancy using logistic regression.
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Sistema de scoring que clasifica ciudades francesas para inversión en segundas viviendas según perfil de riesgo(alto, moderado y bajo). Evalúa ratios clave en áreas como demanda, disponibilidad, infraestructura, demografía y precios.
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https://github.com/jim-by/scrape_analysis_books
Scraping book data from the website books.toscrape.com and performing analysis on the collected data.
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https://github.com/alyssahusna44/poai-image-classification
An implementation of an AI model that classifies animal subspecies. The project involved data preparation, model training using ResNet50, DenseNet121, and MobileNetV3, and evaluation using metrics: accuracy and mAP. 🗂️
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Last synced: 09 Apr 2026