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/juanpablo70/pgad-nba-prediction-project
Programming for Data Analysis from Open Data Sources
data-science jupyter-notebook matplotlib mysql numpy pandas pymysql python scipy seaburn sqlalchemy
Last synced: 13 Apr 2026
https://github.com/thedevreda/python
My Full Backup Packagaes & Files Guide for Python 👷♂️
jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/anvesham/machinelearning_models_using_matlab
Stepwise Multiple Linear Regression (With Interactions) and Random Forest Regression on predicting the Productivity of the Garment Factory Workers
bagging-ensemble bayesian-optimization decision-trees jupyter-notebook machine-learning matlab multiple-linear-regression-model numpy python random-forest-regression
Last synced: 11 Apr 2026
https://github.com/georgiivoyakin/mirea-big-data
Python Big Data programming tasks for institute
apriori-algorithm apriori-algorithm-python fpgrowth jupyter-notebook numpy pandas plotly python python3 scipy sklearn
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https://github.com/camilajaviera91/prediction-of-housing-prices-using-linear-regression
This project provides tools to search for datasets on Kaggle, download and preprocess them, and perform predictions using a Linear Regression model. It includes interactive text-based user interfaces built with `curses`.
curses kaggle linear-regression matplotlib-pyplot mean-absolute-error mean-square-error numpy pandas pathlib python scikit-learn train-test-split
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https://github.com/sorna-fast/car-price-prediction-exercise-with-regression-model
Car price forecasting with one-variable, two-variable, three-variable, lasso, ridge, and elastic regression models
elastic-net grid-search-hyperparameters jupyter-notebook lasso-regression matplotlib numpy pandas pandas-dataframe pandas-python plotly regression regression-models ridge-regression
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https://github.com/aarryasutar/credit_eda
This project focuses on cleaning and analyzing a loan application dataset to gain insights into the factors influencing loan defaults. Through systematic data cleaning, visualization, and merging with previous application data, it provides a robust foundation for further predictive modeling.
binning boxplot correlation-matrix data-cleaning data-splitting dataframe feature-engineering heatmap jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 13 Apr 2026
https://github.com/m-rishab/housing-price-prediction
The Housing Price Prediction Accuracy Improvement project is a data-driven initiative focused on enhancing the precision and reliability of housing price predictions. This project encompasses a multidisciplinary approach, combining data science, machine learning, and real estate insights to optimize the accuracy of forecasts in the housing market.
gridsearchcv hyperparameter-tuning matplotlib matplotlib-pyplot numpy pandas pickle python3 randomforestregressor scipy sklearn
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https://github.com/vijaykumar1303/facial-emotion-recognition-system
Facial_Emotion_Recognition_System
cnn-classification git hyperparameter-tuning jupiter-notebook keras-tensorflow machine-learning numpy opencv pandas python sckiit-learn slack sql tenserflow-image-classifier
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https://github.com/fearless-spider/stooq-dax-seasonal
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numpy pandas python statistics
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https://github.com/elazzouzihassan/si-fraud-detection-prototype
Système de Détection des Fraudes avec Python (Prototype).
googlecolab matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/madhurimarawat/python-for-datascience
This repository contains programs in the python programming language.
array basic-programs conditional-statements csv-files data-structures datatypes exception-handling first-class-functions functions list looping-statements matplotlib numpy object-oriented-programming operators pandas priority-queue python-3 queue stack
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This is for my all machine learning code
analysis computer-vision matplotlib mysql nlp numpy pandas python
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In this repo File handling, Inventory management system and data toolkits resources are provided these are essential for managing, storing, and manipulating data in various formats, such as JSON files. JSON (JavaScript Object Notation), is widely used for data exchange due to its simplicity and readability. also File Handling included in this repo.
filehandling inventory-management json jupyter-notebook numpy os
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https://github.com/prithivsakthiur/qwen-image-edit-2509-loras-fast
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aoti diffusers diffusion-models flash-attention-3 huggingface-spaces huggingface-transformers kernel numpy peft python pytorch qwen-image-edit qwen-image-edit-2509 qwen2-5-vl qwen3-vl torch torchvision
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https://github.com/dipeshgoyal013/ipl_win_probability
A project which help you to check win probability of batting team in inning 2nd
machine-learning matplotlib numpy pandas python sklearn
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https://github.com/nafisalawalidris/tools-for-data-science
It covers popular languages (Python, R, SQL) and libraries (NumPy, Pandas) used in the field. The author shares their objectives of teaching data analysis, web development, and critical thinking skills. The repository also includes code examples, explanations of arithmetic expressions, and contact information for the author.
arithmetic-expressions data-analysis data-science data-visualization languages libraries matplotlib numpy pandas programming python r sql tools web-development
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https://github.com/aymen016/image-processing-algorithms
Explore Python-based image processing from scratch with core algorithms like interpolation, convolution, and filtering!
matplotlib numpy pillow python
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https://github.com/htlinh0604/invoice-data-extraction
This project demonstrates a classic OCR pipeline. This Flask app takes an image, applies an OpenCV preprocessing pipeline, and uses Tesseract OCR to digitize Vietnamese invoices (Bách Hóa Xanh)..
flask numpy ocr-recognition opencv pandas python regex tesseract-ocr
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https://github.com/ansub/mask-detection
A Mask Detection Application using Keras/TensorFlow and OpenCV.
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Python实现神经网络
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https://github.com/Tritonix711/FractureAI
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css cv2 flask gorq html javascript matplotlib npm numpy pandas pydantic python react scikit-learn torch torchvision ultralytics
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https://github.com/jswong65/machine_learning_nanodegree
Projects of Udacity Machine Learning nanodegree
machine-learning numpy pandas python scikit-learn scipy
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In this repo i developed predict a flight delay using machine learning.
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https://github.com/programmer-rd-ai/moviedatascraper
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A sophisticated machine learning solution to detect fake news using multiple classification algorithms. Identify the credibility of news articles with advanced text analysis techniques!
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Small Machine Learning library written in Python
algorithms machine-learning numpy python scipy
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https://github.com/harmanveer2546/credit-card-fraud-detection
The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.
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This repository to store my data analytics projects, showcasing my skills in SQL and Python.
data-analysis mathematics matplotlib numpy pandas portfolio probability python seaborn sql statistics
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https://github.com/rishraks/color-object-detection
This project enables real-time detection of user-defined color objects using a webcam. Users enter a color name, and the program identifies objects matching that color by converting it to its HSV range, applying a mask, and detecting contours. It's a practical tool for object tracking, sorting, and interactive applications.
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https://github.com/kunalshelke90/predict-bank-credit-risk-using-south-german-credit-data
This is an end-to-end ML project, which aims at developing a classification model for the problem of classifying a given customer profile into either of the risk category (safe or not safe). The final classifier used for this project is CatBoost classifier. Deployed in AWS.
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https://github.com/mansurpro/digitrecognizer
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backpropagation custom-dataset data-visualization deep-learning from-scratch gradient-descent handwritten-digit-recognition machine-learning minimal-dependencies mnist neural-network numpy python
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Machine Learning Application to predict House Prices
hands-on learning-by-doing machine-learning numpy pandas python scikit-learn
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https://github.com/neerajcodes888/diwali-sales-analysis
An open-source repository for sales data analysis. Dive into insightful trends, metrics, and visualizations to empower data-driven decision-making. Ideal for data analysts, business professionals, and enthusiasts seeking comprehensive sales insights. Clone, customize, and contribute to enhance your sales analytics journey.
data-science-projects data-visualization numpy pandas-dataframe python3 sales-analysis seaborn-plots
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https://github.com/camilajaviera91/clustering-first-approach
This code will help to understand, in a simple way, how the clustering model works. To achieve this, we will input certain variables (strings and integers), then plot them to visualize and analyze how the values are positioned.
array cluster clustering dictionaries matplotlib numpy pandas python
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adf breusch-pagan cointegration lasso-regression linear-regression matplotlib-pyplot numpy pandas random-forest ridge-regression seaborn sklearn
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data-visualization numpy pandas python sklearn streamlit
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https://github.com/avs123a/image-color-spaces-morphology-demo
Simple demo that shows extracting RGB and HSV channels, converting from RGB to HSV and reverse converting. There are 4 main morphological operations used: erosion, diletion, opening and closing image
demo image-processing jupyter-notebook numpy opencv python3
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accuracy chart jupyter keras matplotlib numpy pandas py python sklearn tensorflow
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https://github.com/babak2/synthea-data-analysis
Synthea Data Analysis
data-analysis data-visualization jupyter-notebook jupytext matplotlib numpy pandas python3 seaborn synthea
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https://github.com/amirhnajafiz-university/s7dc01
Final project of Data Communications course
data-communication matplotlib modulation numpy python scipy signal signal-processing
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https://github.com/mahboobehad/ocausal
Outlier Causal Relations
causality-analysis datamining networkx notebook numpy outlier-detection python
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matplotlib numpy pandas-library streamlit
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analysis-tool data-manipulation numpy numpy-arrays numpy-matrix python
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https://github.com/nirmalyabag20/diabetes-prediction-using-machine-learning
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decision-tree-classifier jupyter-notebook kneighborsclassifier logistic-regression matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn svc
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https://github.com/34j/numpy-flint-arb
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acb arb arbitrary-precision array-api flint interval-arithmetic mpmath numpy
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https://github.com/datarohit/fifa-2020--data-analysis
This is dataset is from Kaggle.com which contains data of 18000+ fifa players with more than 100 features about them for analysis. Simple analysis performed on this Dataset.
exploratory-data-analysis exploratory-data-visualizations matplotlib-pyplot numpy pandas seaborn
Last synced: 10 Apr 2026
https://github.com/prathameshdhande22/data-visualization-tutorial
Repository Contains all the stuff required for Data Visualization. Numpy Tutorial, Pandas Tutorial, Matplotlib Tutorial, Seaborn Tutorial
data-visualization jupyter-notebook matplolib numpy pandas pandas-dataframe python seaborn tutorial
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https://github.com/arjunan-k/netflix_analysis
Exploratory Data Analysis on Netflix Movies & TV Shows.
matplotlib numpy pandas plotly seaborn
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https://github.com/imaginesamurai/advanced-vision-system
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camera computer-vision cv2 cv2-library night-vision night-vision-camera night-vision-goggles numpy opencv opencv-python python python3 real-time realtime stable supoort thermal thermal-camera thermal-images video
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https://github.com/mohd-tahzeeb-khan/reverse_dcf-calculator-and-vistualization
This Dashboard is Developed by me. I had Applied for Internship in which i had to develop this Dashboard to showcase my skill and talent.
beautifulsoup bs4 dash dashboard dataframes flask numpy pandas plotly plotly-dash plotly-express python requests shares stock-market
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https://github.com/skywalkerSam/ML-101
Getting started with AI & ML!
ai-ml jupyter-notebooks matplotlib ml ml-framework numpy pandas python3 scikit-learn tensorflow
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https://github.com/prashver/customer-segmentation
This project utilizes unsupervised machine learning to segment bank customers for targeted marketing campaigns. It covers tasks like data exploration, determining optimal clusters, and applying k-means for segmentation. Ideal for marketing departments in banking and retail industries.
customer-segmentation matplotlib numpy pandas seaborn sklearn
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https://github.com/carlthome/ipytoolbox
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ipython jupyter matplotlib numpy
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https://github.com/savernish/forgenn
forgeNN is a in-development purpose‑built neural network framework combining a transparent NumPy autograd engine with a Keras‑like API and performance oriented primitives. Developed by a college student with an ambitious feature pipeline.
artificial-intelligence deep-learning keras machine-learning mlp-networks neural-network numpy pytorch tensorflow tensors
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deep-learning dropout-keras earlystopping keras-tensorflow matplotlib-pyplot neural-networks numpy pandas seaborn tensorflow-models
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cosinewave frame grid image imagetk labels matplotlib-pyplot numpy numpy-arrays numpy-library photoimage pil python3 sinewave spyder tkinter tkinter-gui window
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https://github.com/fayzi-dev/machin_learning
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Investigate the film industry to gain sufficient understanding of what attributes to success and in turn utilize this analysis to create actionable recommendations for companies to enter the industry.
business business-analytics dataanalysis datetime matplotlib numpy pandas python seaborn
Last synced: 11 Apr 2026
https://github.com/apoorva-info/eye-blink-detetction
Blink Detector Sensitive to Facial Orientation
mediapipe numpy opencv python3
Last synced: 28 Apr 2026
https://github.com/parneet-sandhu/virtual-try-on
This project uses OpenCV, Mediapipe, and NumPy to create an interactive virtual try-on experience. The application overlays a virtual accessory (e.g., glasses) onto the user's face using webcam input and allows users to control the brightness of the camera feed and capture screenshots using hand gestures.
computer-vision mediapipe numpy opencv python tkinter
Last synced: 19 Jan 2026
https://github.com/nemeslaszlo/sale-price-of-bulldozers
The goal of predicting the sale price of bulldozers. How well can we predict the future sale price of a bulldozer, given its characteristics previous examples of how much similar bulldozers have been sold for? (Archive kaggle competition)
matplotlib numpy pandas random-forest-regressor regression scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/qua77i20/ai2
A simple single-layer neural network (perceptron) built in Python. Demonstrates backpropagation training from scratch for beginners.
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Last synced: 15 May 2026
https://github.com/kwanit1142/sars-cov-2-detection-radiology-based-multi-modal-multi-task-framework
Keras-based Implementation for "SARS-CoV-2 Detection: Radiology based Multi-modal Multi-task Framework" (Accepted in 45th IEEE EMBC 2k23)
gans keras matplotlib numpy opencv os pandas pillow scipy sklearn tensorflow transfer-learning wasserstein-distance
Last synced: 14 Apr 2026
https://github.com/g-eoj/cv-tl-keras
Use the cross validation functions from scikit-learn to evaluate image classification transfer learning with Keras models.
cross-validation keras numpy scikit-learn transfer-learning
Last synced: 10 Apr 2026
https://github.com/hokagem/byakuganvisualizer
The ByakuganVisualizer repository hosts a Python tool designed to compare images and highlight their differences. It simplifies the process of identifying disparities between images, making it ideal for tasks like testing and quality assurance. Moreover, it offers a color filter that can be used to correct images for color-blind users.
color-blind color-correction colorblind image-manipulation numpy pillow
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https://github.com/nolan-lwin/bells-palsy-ml-research
A Machine Learning Model to Grade the Severity of Bell's Palsy
artificial-intelligence dlib healthtech jupyter-notebook machine-learning matplotlib numpy opencv pandas python research scikit-learn scipy
Last synced: 17 Aug 2025
https://github.com/serhatderya/fall_detection
This project implements a computer vision-based fall detection system using deep learning techniques. The system can detect whether a person has fallen in images or video frames.
ai artificial-intelligence artificial-neural-networks computer-vision deep-learning deep-neural-networks deeplearning falldetection matplo neural-network numpy opencv pil pillow pytorch tensorflow yolo yolov5 yolov8
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https://github.com/smallgig/pickomino
Reinforcement Learning Environment with Gymnasium API
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https://github.com/pradipece/two_dimensional_data_visualization
This repository for different kinds of Data science and Machine learning project
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https://github.com/ivangael/objects_detection_with_neural_network_training_visualization
Real-time Object Detection and Neural Network Training Visualization
keras matplotlib neural-network neural-network-training neural-network-visualizations numpy object-detection opencv python tensorflow ultralytics
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https://github.com/rixiiz/using-knn-to-predict-the-obp-of-mlb-players
Using KNN to predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season
artificial-intelligence dataset f1-score jupyter-notebook knn-regression machine-learning matplotlib mse numpy pandas python scikit-learn supervised-learning
Last synced: 05 Apr 2026
https://github.com/nirmalyabag20/loan-status-prediction-using-machine-learning
This project focuses on predicting the loan status (approved or not approved) based on various applicant details. The goal is to develop a machine learning model that accurately classifies whether a loan should be approved, helping financial institutions make informed lending decisions.
matplotlib numpy pandas python scikit-learn seaborn support-vector-machine
Last synced: 19 Jan 2026
https://github.com/kishlayjeet/zomato-data-exploration
In this project, we will be exploring a dataset containing information on various restaurants and their ratings, location, and other attributes.
data-analysis eda matplotlib numpy pandas zomato-data-exploration
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https://github.com/techassi/hfu-imgcomp
Image processing and computer graphics SOSE 22
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https://github.com/palak-463/tablataalrecognitionsystem
Software built using Python which makes use of CNN and FNN to detect the Taals of the Tabla, an Indian classical music instrument. 🎛️
cnn deep-learning flask fnn librosa numpy os pickle python scikit-learn
Last synced: 11 Apr 2026
https://github.com/vidhi1290/zomato-data-analysis
Zomato Data Analysis - Explore the world of Zomato restaurant data through Python and data analysis. Uncover trends and insights using Pandas for data manipulation and Matplotlib for visualization. Join us in this journey to reveal the hidden stories within the data!
data-analysis data-analysis-python data-science data-visualization dataprocessing machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn zomato-data-analysis
Last synced: 11 Apr 2026