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/wasifsohail5/amusic-ai_powered_musicrecommendationsystem
AMUSIC is an AI-driven music recommendation system that helps users discover personalized songs. Using Python, Streamlit, and Scikit-learn, it offers smart recommendations, advanced search, and interactive music insights. Users can save favorites, create playlists, and export data for a seamless music discovery experience.
joblib k-nearest-neighbours matplotlib minmaxscaler numpy pandas pickle plotly python scikit-learn seaborn streamlit
Last synced: 14 Oct 2025
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/hoyirul/flask-starter-fs
Flask-Starter-FS is a concise full-stack starter kit for Flask web development, offering quick setup and pre-configured settings for seamless integration of front-end and back-end components. Accelerate your full-stack web application development with Flask-Starter-FS.
flask machine-learning numpy pandas python sklearn
Last synced: 14 Apr 2026
https://github.com/grand-27-master/fingers-tap
A real-time multi-finger tap detection system
mediapipe numpy opencv python3
Last synced: 14 Apr 2026
https://github.com/ananupam/eda-titanic
An Exploratory Data Analysis project done on Titanic Dataset.
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/hossein-cod/parking-space-detection
Identifying empty spaces in the parking lot with openCV
cv2 jupyter-notebook numpy opencv pickle python
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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.
ai-governance drift-detection embeddings graphql llm numpy python rag sqlite strawberry-graphql vector-search
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https://github.com/ljubogdan/solar-cycle-lstm
This project predicts sunspot activity using an LSTM model for time series data. Built with TensorFlow and Keras, it uses Huber loss for outlier handling and MAE for performance evaluation. The dataset, sourced from Kaggle or SIDC, spans over 270 years of monthly sunspot data.
conv1d huber-loss-regression kaggle keras lstm machine matplotlib numpy pandas scikit-learn seaborn solar sunspots tensorflow time-ser
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https://github.com/al-ghaly/stock-market-simulation
Simulate and visualize stock market behavior
matplotlib numpy python python-visualization
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https://github.com/mbarbetti/hello-snakemake
Simple implementation of snakemake to sample and plot data
hello-world matplotlib numpy python snakemake
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https://github.com/deepcloudlabs/dcl702-2021-jul-12
DCL-702: Data Analytics using Python
data-analytics numpy pandas python3
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https://github.com/sharif-minhaz/rag-system
Ingest and vectorize content upon publication, store embedding, then retrieve and augment user queries with context to generate high-quality responses.
faiss flask mysql2 nodejs numpy rag react transformers
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https://github.com/navindafernando/lane-detection
Lane Detection with Image Feature Extraction Techniques :aerial_tramway:
image-feature-extraction kernel-filters machine-learning neighborhood numpy opencv sobel-filter
Last synced: 13 Apr 2026
https://github.com/saivarun2611/potato_disease_classifier
This project is a Potato Disease Classifier that uses a Convolutional Neural Network (CNN) to classify potato leaves as healthy, suffering from early blight, or late blight. The model helps in early detection of diseases, which can be crucial in maintaining crop health and yield.
cnn keras matplotlib numpy pandas python3 tensorflow
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https://github.com/samir-atra/experiments_and-_improvements
A repository showing the knowledge in some of the machine learning technologies there are.
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https://github.com/juzershakir/predicting_boston_housing_prices
Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
bias-variance boston-housing-price-prediction data-exploration decision-tree-regression gridsearchcv k-fold machine-learning matplotlib mlfnd model-evaluation model-validation numpy pandas python3 r2-score sklearn supervised-learning udacity-nanodegree
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https://github.com/bhuvantenguria/adobe-gensolve
Adobe-Gensolve
cv2 dotenv firebase-admin flask numpy pandas python react svgpathtools svgwrite
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https://github.com/harmanveer-2546/reducing-data-entries
Way to delete data entries from csv/excel file using. For excel file, use excel instead of csv in the code.
csv data data-entry delete-data excel numpy pandas python
Last synced: 05 May 2026
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/satyacoder29/crm-analytics-power-bi
CRM Analytics Dashboard – An interactive dashboard using Tableau, SQL, and Salesforce CRM Analytics (CRMA) to analyze sales performance, customer segmentation, and churn prediction. Features automated ETL pipelines, predictive analytics, and real-time insights for data-driven decision-making. 🚀📊
advanced-excel data-analysis data-cleaning data-collection data-transformation data-visualization matplotlib numpy pandas powerbi python seaborn sql tableau
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https://github.com/zombietdv/hm_gpt_v1.0
Homemade GPT( not that good ).
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https://github.com/yashaka/learncv
Toolset used in learning Computer Vision at R_D course
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https://github.com/alefair/ds
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ipython jupyter matplotlib numpy pandas python sklearn
Last synced: 15 Mar 2026
https://github.com/manuel-lang/numpymongo
A python package to export NumPy data to MongoDB
Last synced: 23 Feb 2026
https://github.com/hellymodikalpesh/numpy
This repository is designed as a comprehensive resource for learning the NumPy library. It covers nearly all functions and features of NumPy, providing a thorough exploration of its capabilities for numerical computing and data analysis.
Last synced: 28 Jan 2026
https://github.com/adriantomin/bulldozer-price-prediction
Predicting the Sale Price of Bulldozers Using Machine Learning 🚜💰 This project uses machine learning to predict bulldozer sale prices based on historical data from the Kaggle Bluebook for Bulldozers competition. The goal is to minimize the RMSLE between actual and predicted prices.
data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn
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https://github.com/shreshthvashisht/bank-loan-case-study
Risk Analytics using Python
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https://github.com/tugot17/neural-network-from-scratch
Simple neural network implemented from scratch using numpy package
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https://github.com/anhquoc533/neural-network
A Neural Network framework for building Multi-layer Perceptron model.
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https://github.com/gusenov/max-empty-rect-py
:black_square_button: Реализация на Питоне алгоритма поиска на изображении пустого прямоугольника максимальной площади.
algorithm empty-spot graphics numpy python python-image-library python-library rectangle-detection
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https://github.com/sonaligill/olympics-analysis
The outcome of this project is an interactive streamlit web application that visualizes the analysis of Olympic data while rendering different aspects of Olympic history, compare country performances, and gain insights into athlete demographics.
numpy plotly python scikit-learn scipy streamlit
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https://github.com/OneMoreDavid/python-like-a-boss
This is where I stash my Python study material.
data data-analysis data-engineering data-science data-visualization datascience ipynb ipynb-jupyter-notebook ipynb-notebook numpy pandas python python3
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https://github.com/bedirk/portfolio-projects
Data Analytics Portfolio Projects
dataanalysis excel mssqlserver numpy pandas powerbi python sql tableau
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Credit Card Fraud Detector is a React web app that predicts if a credit card transaction is fraudulent using a Python machine learning model. Users can input transaction data, and Flask facilitates communication between the backend and frontend. Backend files are located in the res folder. This app provides simple UI for user interaction.
fraud-detection machine-learning nodejs numpy pandas python reactjs sklearn-library
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https://github.com/slovnicki/matematicki-softver
homeworks and projects for Mathematical Software course
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https://github.com/dilkushsingh/iris-species-classifier
Used Random Forest Classifier Algorithm
huggingface-spaces numpy pandas python random-forest-classifier scikit-learn streamlit
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https://github.com/subh888999/car-prices--analysis-projects
This repository houses projects focused on data collection, assessment, cleaning, visualization, and analysis. It includes workflows and methodologies for handling data, from initial gathering and evaluation to processing, visualizing insights, and performing in-depth analysis
jupyter-notebook matplotlib numpy panda seaborn statistics
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https://github.com/deepankkartikey/ml-projects
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https://github.com/ramy-badr-ahmed/higgs-dataset-training
Training Higgs Dataset with Keras - https://doi.org/10.5281/zenodo.13133945
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https://github.com/jaypanchal9/fraud-detection-case-study
A comprehensive case study applying machine learning techniques to detect fraudulent transactions effectively.
machine-learning matplotlib numpy pandas python3 scikit-learn seaborn xgboost
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https://github.com/hercules-peters/learn-ml-with-me
Welcome to **ML-Journey**, my personal progress tracker for mastering machine learning! This repository showcases my projects, notebooks, and explorations as I advance my skills, starting with hands-on projects.
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https://github.com/muhkartal/fr-photo
face-recognition system works on images first of all you need to register valid image as recognition
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https://github.com/itssahilwhat/ai-fundamentals
A curated collection of fundamental AI concepts, algorithms, and code implementations — including Machine Learning, Deep Learning, and Computer Vision — built from scratch and with practical examples.
computer-vision deep-learning machine-learning numpy pandas python pytorch scikit-learn
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https://github.com/stavrosarm/mathematics_algorithms
Fundamental algorithms of Linear Algebra , Numerical Analysis and Calculus in Python and Julia.
calculus julia-language linear-algebra numerical-analysis numpy python
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https://github.com/keyurparalkar/breast-cancer-detection
Predict whether the cancer is benign or malignant
gradient-descent logistic-regression machine-learning numpy
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https://github.com/thkox/uni_2023-compression-and-object-removal
This project is a team assignment for the "Multimedia Systems" course, offered in the 6th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.
2023 6th-semester colorama compression-algorithm department-of-informatics heapq lossless-compression-algorithm motion-compensation multimedia-systems numpy object-removal opencv-python pickle python scipy-stats university-of-piraeus
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https://github.com/shishirshekhar/penguin_app
This is a penguin species prediction web app
data-science logistic-regression ml numpy pandas python python3 random-forest-classifier streamlit streamlit-application streamlit-webapp support-vector-machine
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https://github.com/oleksiilatypov/mlzoomcamp-capstone01
mlzoomcamp capstone project
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https://github.com/karishmagupta05/airbnb-data-scraping-and-analysis
This project involves web scraping Airbnb listings using Python and BeautifulSoup, followed by data analysis with Pandas. The goal is to extract meaningful insights from the data, clean and preprocess it, and visualize the results using libraries like Matplotlib and Seaborn.
beautifulsoup4 matplotlib numpy pandas python scraping seaborn visualization
Last synced: 15 Apr 2026
https://github.com/amruta33/credit_card_analysis
The loan providing companies find it hard to give loans to the people due to their insufficient or non-existent credit history. Because of that, some consumers use it as their advantage by becoming a defaulter.
Last synced: 15 Apr 2026
https://github.com/farha-dahman/investigate_dataset
Investigate [No-show appointments] Dataset
data-analyst jupyter-notebook matplotlib numpy pandas python
Last synced: 15 Apr 2026
https://github.com/singhvishal003/sales-data-analysis
Data Analysis according to sale data.
matplotlib numpy pandas seborn
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https://github.com/samiyaalizaidi/nn-ml-homeworks
Homework solutions for CPE-4903: Neural Networks & Machine Learning at Kennesaw State University.
machine-learning machine-learning-workflow neural-networks numpy scikit-learn
Last synced: 15 Apr 2026
https://github.com/arv-anshul/campusx-graphs
Contains all the graphs provided by CampusX to learn Statistics and Algebra with some added feature.
algebra campusx-dsmp data-science matrix numpy statistics streamlit vizualisation
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https://github.com/anshpg/exploration-in-image-processing-digit-image-generation
This project, developed by Anshuman Pattnaik, explores image processing techniques using Python libraries such as pandas, numpy, matplotlib, and cv2 (OpenCV). The primary objective of the project was to delve into image processing with a focus on creating a unique dataset and algorithm for image generation.
cv2 image-generation image-processing ipynb-jupyter-notebook matplotlib-pyplot numpy opencv pandas
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https://github.com/chandkund/sentiment-analysis-on-movie-reviews
Project on Sentiment Analysis of Movie Reviews using K-means clustering. This project clusters movie reviews based on their sentiment scores to understand audience reactions. Includes data preprocessing, feature selection, model development, and visualization.
data-science eda jupyter-notebook machine-learning matplotlib numpy pandas preprocessing python sklearn
Last synced: 01 Feb 2026
https://github.com/danish-jamil-01/kidney-tumor-detection
Demonstrating how changes in input image resolution affect the algorithm's output
disease-prediction imbalanced-learn ipynb-jupyter-notebook jupiter-notebook kidney-disease-prediction matplotlib matplotlib-figures matplotlib-pyplot numpy numpy-python opencv opencv-python pandas pandas-python pathlib python scikit-image seaborn seaborn-python tensorflow
Last synced: 01 Feb 2026
https://github.com/shreenidhi7700/rice-leaf-disease-prediction-using-convolutional-neural-network
Classifying images of rice leaf disease plants into various disease categories using Convolutional Neural Network
convolutional-neural-networks efficientnet inceptionv3 jupyter-notebook keras machine-learning matplotlib numpy os python resnet50 seaborn shutil-python tensorflow transfer-learning xception
Last synced: 07 Feb 2026
https://github.com/nits2612/data-science-projects
Portfolio of data science projects completed by me during PGP AI/ML, self learning, and hobby purposes.
data data-science dataanalysis deep deep-learning keras machine-learning matplotlib numpy opencv pandas python scikit-learn seaborn surprise-python tensorflow transfer-learning
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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/saumyajeet-varma/braintumor-ml-integrated-webapp
flask numpy python tensorflow venv
Last synced: 01 Feb 2026
https://github.com/legendarym4x/data_science
Data Science Course
jupyter-notebook keras matplotlib nltk numpy pandas scikit-learn spacy tensorflow
Last synced: 02 Feb 2026
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.
bootcamp data-analysis data-science education jupyter machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 01 Jun 2026
https://github.com/oislen/randomtelecompayments
An application for randomly generating telecommunication payment data.
data-simulation multiprocessing numpy pandas payments python qmarkdown random-number-generation telecommunications unittests
Last synced: 15 Apr 2026
https://github.com/sharkb8t/credit-risk-classification
Demonstrates my abilities to use Jupyter Notebook with scikit-learn to train and evaluate a machine learning model.
jupyter-notebook numpy pandas pathlib python scikit-learn
Last synced: 15 Apr 2026
https://github.com/linggarm/evolutionary-algorithms
Collection of codes of Evolutionary Algorithms college course (Knapsack Problem & Travelling Salesman Problem)
ant-colony-optimization evolution-strategies evolutionary-algorithms evolutionary-programming genetic-algorithms genetic-programming knapsack-problem matplotlib numpy particle-swarm-optimization python travelling-salesman-problem
Last synced: 15 Apr 2026
https://github.com/olfabelhadj/gestion-d-une-boutique-avec-python
OpenClassrooms parcours Data Analyst Projet 6
matplotlib-pyplot numpy pandas plotly-express plotly-graph-objects seaborn
Last synced: 15 Apr 2026
https://github.com/coueghlani/nlp
Proyecto de Procesamiento de Lenguaje Natural y Análisis de Datos
mineria-de-datos nlp nlp-machine-learning nltk numpy procesadores-de-lenguajes sklearn spacy
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https://github.com/smahala02/materials-science-introduction
Introduction to Materials Science concepts using Python for array manipulation and visualization with NumPy and Matplotlib.
data-visualization materials-science matplotlib numpy python scientific-computing
Last synced: 09 Feb 2026
https://github.com/ryancswallace/npdb
Parallel NumPy-like interface for large n-dimensional arrays on disk.
mapreduce-designpatterns numpy numpy-arrays parallel-computing python
Last synced: 09 Feb 2026
https://github.com/hansalemaos/all_against_all
Each item of a list against all others
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https://github.com/sahilk12nayak/data-capstone-projects-using-python-libraries
In this data project we will focus on exploratory data analysis. This project utilizes Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn for data manipulation, analysis, and visualization.
matplotlib numpy pandas seaborn
Last synced: 15 Apr 2026
https://github.com/mahmud-kandawala/simulating-covid-19-python-
This repository contains a Python program that simulates the spread of COVID-19 using Numpy and Matplotlib for calculations and visualization. The simulation offers an interactive way to understand virus dynamics and the impact of epidemiological parameters.
Last synced: 16 Apr 2026
https://github.com/carterbox/libimage
Provides large (2k) test images as NumPy arrays.
Last synced: 15 Apr 2026
https://github.com/mariam-zaidi/bike-sharing-prediction-model
Build a multiple linear regression model for the prediction of demand for shared bikes.
linear-regression matplotlib numpy pandas rfe seaborn sklearn
Last synced: 09 Feb 2026
https://github.com/harmanveer-2546/statistics-for-machine-learning
Statistical tools help you clean and organize your data. You can identify outliers, manage missing values, and ensure your data is in a format that the ML algorithms can understand.
inline matplotlib matplotlib-styles numpy pandas probability python seaborn statistics
Last synced: 18 Apr 2026
https://github.com/baschin1103/neural-network-building-in-python
In this repository is a programm with a pretrained artificial neural network from Building AI. The network predicts the price of a cabin based on it's attributes.
bias building-ai forward-pass functioning identity linear-combinations neural-network numpy python regression relu
Last synced: 16 Apr 2026
https://github.com/foggysmile/ml_labs_itmo
Лабораторные работы по машинному обучению
bert decision-trees jupyter-notebook machine-learning numpy pandas random-forest xgboost
Last synced: 11 Feb 2026
https://github.com/puureya2/catalogue-price-scraper
Scrape & store product prices with Selenium & BeautifulSoup4. Visually represent data with MatPlotLib,Personal Project
beatifulsoup4 chrome-webdriver matplotlib numpy pandas python python-csv selenium webscraping
Last synced: 16 Apr 2026
https://github.com/cherukuri-thanu/conjoint-analysis-netflix
This repository contains configuration files for performing conjoint analysis on Netflix survey data.
conjoint-analysis logistic-regression matplotlib-pyplot netflix numpy pandas squantify statsmodels
Last synced: 16 Apr 2026
https://github.com/mindkerchief/baselineml
A collection of machine learning task performed during my studies in computer science major in intelligent system.
decision-tree dummy gaussian-mixture-models kmeans-clustering linear-regression logistic-regression machine-learning matplotlib numpy pandas random-forest scikit-learn seaborn tensorflow
Last synced: 16 Apr 2026
https://github.com/karthikarajagopal44/numpy-beginner-to-advanced
This repository is designed to help you master NumPy, the fundamental package for scientific computing with Python. Whether you are just getting started or looking to refine your skills with advanced techniques, this repo covers a comprehensive range of topics and functionalities. It covers the range of topics from beginner to advance.
data-science numpy numpy-library numpy-tutorial python
Last synced: 16 Apr 2026
https://github.com/walkerdustin/python-linear-regression
simple linear regression in python based on coursera andrew ng course
ai linear-regression machine-learning ml numpy python
Last synced: 05 May 2026
https://github.com/bharatsharma07/ipl-analysis
This project provides insights into the IPL's historical data, helping to identify trends, player performance, and team strategies.
data-visualization ipl-data-analysis numpy pandas python
Last synced: 16 Apr 2026
https://github.com/shakhthi/mlproject
This project is an end-to-end ML solution that predicts math scores from student attributes. It starts with ingesting and preprocessing data, followed by feature engineering to pinpoint key predictors. A robust model is then trained and fine-tuned before being seamlessly deployed to deliver real-time predictions.
jupyter-notebook matplotlib-pyplot numpy pandas python3 seaborn sklearn
Last synced: 16 Apr 2026
https://github.com/ankit21111/carpredict
This project predicts car prices using machine learning models, including Simple and Multiple Linear Regression. It covers data acquisition, feature selection, and optimization techniques like Ridge Regression. The best model, Multiple Linear Regression, achieved an R² score of 0.84. Check out the full analysis in the repository!
data-analysis data-visualization matplotlib numpy pandas pyhton scipy seaborn sklearn
Last synced: 16 Apr 2026
https://github.com/tzepart/choosing-oil-region
Choosing and initialisation a machine learning model that will help determine the region where production will bring the greatest profit with the least risk of loss.
matplotlib ml numpy pandas seaborn sklearn
Last synced: 16 Apr 2026
