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/anag0es/projetos-ml
Este é um lugar onde guardo vários projetos para entender como funciona a aprendizagem de máquina. Cada projeto é uma forma de praticar o que estou aprendendo nos meus estudos.
artificial-intelligence crisp-dm data-science deep-learning learning machine-learning neural-network numpy pandas prediction-model python
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https://github.com/separatrixxx/aviahack5
✈️ Aviahackathon 5
fastapi http-server numpy pandas pyside6 python react sqlite3 tailwind-css typescript
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https://github.com/rishieeee/spam-email-classifier
A simple machine learning project that classifies emails as spam or ham using TF-IDF and a Multinomial Naive Bayes model. The project covers data cleaning, text preprocessing, feature extraction, model training, and evaluation. A great beginner-friendly introduction to NLP and ML workflows.
multinomial-naive-bayes numpy pandas python sckit-learn tf-idf
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https://github.com/rubyyy1118/share-price-analysis
The assignment in my MSc Business Analytics course
data-analysis data-preprocessing data-science data-visualization matplotlib numpy pandas python seaborn
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https://github.com/mariacarolinass/processamento-imagem
Processamento de Imagens com OpenCV
cv2 gradio gradio-interface huggingface matplotlib numpy opencv python
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https://github.com/aliyahscoding/tiny-recommender
Tiny item-item recommender in Python using cosine similarity over a toy user–item matrix. Simple CLI to print top-N recommendations.
collaborative-filtering cosine-similarity numpy pandas python recommender-system
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https://github.com/lexxai/goit_python_ds_hw_01
GoIT, Python Data Science, Homework number 1.
data-science google-colab jupyter-nootebook numpy numpy-arrays python
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https://github.com/27ahmad/movie-recommendation-system
Welcome to the Movie Recommendation System! This project uses Streamlit to provide personalized movie recommendations based on user preferences and similarity.
movie-recommendation numpy pandas python scikit-learn
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https://github.com/mattkevan/data-science
Notes from learning various data science topics.
data-science matplotlib numpy python3
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https://github.com/ahsouza/timenow
API Laravel & SPA Vue.JS containerized
docker docker-compose dockerfile laravel mysql-database nginx nodejs npm numpy php7 pyaudio python3 security-tools shell-script vagrant vuejs vuesax vuex vuex-store zenity
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https://github.com/arnoldchrisoduor1/potato_disease
Trained a CNN to detect the presence and the current stage of Blight disease in potatoes, WebApp in FastAPI and React
fastapi keras numpy react serving-tensors tensorflow
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https://github.com/bvsam/nnfs
Basic neural network built using Python and Numpy. Created to better understand neural networks.
artificial-intelligence deep-learning machine-learning neural-network neural-networks numpy python3
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https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation
An EDA and Machine Learning Clustering exercise on the Mall Customer Segmentation synthetic dataset demonstrating the use of KMeans Clustering and the Elbow Method. The clustering algorithm successfully segments the customer base into groups distinguishable by their annual income and spending score.
clustering kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn
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https://github.com/alainlebret/python-et-ia-1
Ressources personnelles du cours "Python & IA" en 2e année GPSE à l'ENSICAEN
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https://github.com/yashsonaar/machine-learning-tasks
This repository has machine learning tasks which include classification, recommendation system, fraud detection system
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Generate a response for the question from pre-defined text using LLM(Extracted Question-Answering(QA) Model).
accuracy exploratory-data-analysis extractive-question-answering huggingface machine-learning matplotlib nlp nltk numpy pandas python seaborn sklearn spacy spellchecker wordcloud
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This project implements a weather prediction system that predicts the temperature based on real-time weather data, including features like humidity, wind speed, and day-related features (day of the week, month
machine-learning machinelearning numpy pandas programming python scikit-learn scikitlearn-machine-learning weather-prediction
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https://github.com/armanshadyan/bacteria-detection
Deep learning-powered tool for detecting and analyzing bacteria in microscope images. Designed for microbiology research, it identifies bacteria, counts them, and calculates coverage area with high precision. Supports real-time video processing, single-image analysis, batch processing, and model training.
mediapipe numpy object-detection opencv python pytorch
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https://github.com/ksasi/dog-breed-classifier
Dog Breed Classifier
cnn cnn-classification computer-vision deep-learning deep-neural-networks keras keras-neural-networks machine-learning numpy pandas python scikit-learn
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https://github.com/dyceszn/i.duruohacos102
First-year deep dive into problem-solving with Python—featuring class practices and projects using NumPy, Pandas, Tkinter, and psycopg2.
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https://github.com/iv4n-ga6l/titanic-survival-prediction
a predictive model in Python that answers the following question: “using data relating to passengers (name, age, gender, socio-economic class, etc.), who has the greatest chance to survive?"
matplotlib numpy pandas python seaborn sklearn
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https://github.com/rafagomezguillen/data-science-python
Data Science and Python notes
data-science django-rest-framework matplotlib numpy pandas python seaborn webscraping
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https://github.com/yukti1sharma/emotion-based-music-recommender
Emotion based music recommendation system
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Real time finger and object painting using advanced computer vision technology with custom hand gestures and customizable colours
artificial-intelligence cmake computer-vision cpp mediapipe numpy opencv python
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https://github.com/shdrn2402/incomesresearch
The project aims to study the influence of various characteristics on a person’s income. In this project, I practiced data preprocessing and visualization, and also touched on the basics of machine learning.
jupyter-notebook matplotlib numpy pandas python seaborn sklearn visualization
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https://github.com/harsha-yuvaraj/data-compression-and-decompression-tool
A specialized lossless file compression and decompression tool designed mainly for plain text, including programming files.
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https://github.com/andres15alvarez/numericalcalculator
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https://github.com/prithvi45/machine-learning-prerequisites
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https://github.com/matiassenia/galaxypy
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Implementation of Learning Vector Quantization (LVQ) and Extreme Learning Machine (ELM) with Iris Dataset
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https://github.com/asuquoaa/big_4_sports_teams_and_city_population_analysis-2018-
Analysis of sports teams' win/loss ratios vs. metro area populations across NFL, NBA, MLB, and NHL.
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https://github.com/prathicashettym/agriculturallanddetection
6th Semester SDG EL
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https://github.com/renukadhule/airbnb_listings_and_reviews_python_analysis
Explore Airbnb listings and reviews from over 250,000 properties across 10 major cities. Dive into data on listing details, host information, pricing, and customer reviews for better insights
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https://github.com/balajig-24/titanic_data_analysics-
Project Title: Titanic Survival Prediction Project Overview The Titanic Survival Prediction project is a classic machine learning problem that aims to predict whether a passenger survived the Titanic disaster based on various features such as age, gender, passenger class, and more. This project demonstrates my ability to clean, analyze, and model.
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https://github.com/shreeya-methuku/predictive_analysis
This project leverages machine learning to perform time-series forecasting on key financial metrics, including sales (income), expenses, cash flow, and profit.
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https://github.com/saurabh9136/data-analysis_using_pandas-numpy
A beginner-friendly repository exploring data analysis using NumPy and Pandas. Covers fundamental operations, data manipulation, and real-world dataset analysis.
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https://github.com/avin27/credit-card-fraud-detection
A python script to analyse credit card data to detect fraudulent transactions
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https://github.com/kartmaan/exoplanets
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A program which can detect if an image contains either a pizza, sushi or steak: Has now been deployed on Flutter :)
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https://github.com/who-else-but-arjun/pyspyce-cs
Circuit Simulator for R, L, C components and AC/DC voltage and current sources built using python as a part of EE204 circuit theory course project.
circuit-simulator numpy python streamlit sympy
Last synced: 20 Apr 2026
https://github.com/vyjayanthipolapragada/image_cartoonification_opencv
Cartoonify images using opencv and tkinter
cartoonify computer-vision easygui image-processing imageio matlplotlib numpy opencv pillow python tkinter
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https://github.com/amr-yasser226/pagerank-power-method
Modular Python implementation of the PageRank algorithm via the power method, with discrete‑math foundations, end‑to‑end code, and experimental validation.
discrete-mathematics graph-algorithms markov-chain network-analysis networks numpy pagerank power-method python scipy
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https://github.com/prashhhant213/data_analysis_and_visualization-_for_streaming_platform
Data Analysis and Visualization for streaming platform to provide insights and recommendations to improve their userbase.
colab-notebook data datavisualization matplotlib numpy pandas python seaborn
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https://github.com/abyss-s/data-analysis-project
[컴퓨팅사고와 데이터분석 기초] 최종 프로젝트 (2024-1)
matplotlib numpy pandas python sckiit-learn
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https://github.com/zombietdv/n_gram-model
n_gram model implementation with numpy only
Last synced: 21 Apr 2026
https://github.com/souvikmajumder26/neural-network-from-scratch
🚀 Building a simple Neural Network to classify the images of the Fashion-MNIST dataset, using only numpy and no TensorFlow, Keras, or PyTorch.
config fashion-mnist logger neural-network neural-network-from-scratch notebook-jupyter numpy project python
Last synced: 21 Apr 2026
https://github.com/oanderoficial/plant-health-check
cv2 diagnostic inteligencia-artificial numpy tensorflow
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https://github.com/carmoreno/aviones-aldeas
:airplane: Final project o Complexity and Optimisation course :house_with_garden:
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https://github.com/brian-hepler-phd/kak-decomposition-qml
Cartan decomposition (SU(4)) via Lie theory and QML – exact + variational approaches for two-qubit gates.
lie-theory machine-learning numpy pennylane qml quantum-computing quantum-gate-decomposition scipy su4
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https://github.com/refraction-ray/numkl
A thin cython/python wrapper on some routines from Intel MKL
cython-wrapper lapack mkl numpy
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Raw implementation of mlp classifier in python using numpy.
classification example-code learning machine-learning multilayer-perceptron neural-network numpy
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https://github.com/chicoyildiz/python-raytracing-demo
Interactive Python ray tracer (numpy + pygame) with a ceiling camera, dynamic resolution scaling, and a glowing bouncing fireball.
numba numpy python python3 raytracing
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https://github.com/shaikats/python-assignment
Simulation and Modeling Lab assignments using Python, NumPy, Matplotlib, and Jupyter Notebook.
jupyter-notebook matplotlib numpy python simulation-modeling
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https://github.com/mariacarolinass/analise-de-dados
Iniciando com NumPy e Matplotlib
matplotlib matplotlib-pyplot numpy numpy-exercises
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https://github.com/jbayardo/aa-tp2
Q-Learning for Four in a row
matplotlib numpy python q-learning
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https://github.com/sciguymjm/introtomlmidterm2
Code for Intro to ML Midterm 2
hierarchical-clustering kfold-cross-validation kmeans-clustering numpy
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https://github.com/dpb24/datakind-2025
📊 Data Analytics: Identifying Actionable Insights to Improve Financial Inclusion in Kenya
data-analytics data-visualization databricks datakind exploratory-data-analysis financial-data geopandas jupyter-notebook kenya matplotlib numpy python seaborn
Last synced: 24 Apr 2026
https://github.com/nightmachinery/mlp_from_scratch
A simple MLP using only numpy. The computational graph is not automatically tracked, but the network supports arbitrarily many batch axes.
deep-learning deep-neural-networks deeplearning educational mlp mlp-classifier mlp-networks numpy
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https://github.com/toxic-whitelgnd/matrice_cryptography
A simple math Project based on Matrices-Cryptography by using python-numpy
cryptography math-problem matrices numpy python3
Last synced: 25 Apr 2026
https://github.com/nahiyanhkhan/data-processing-and-visualization
Loan Data Processing using Python's numpy and pandas libraries. For data visualization, matplotlib and seaborn are used.
data-analysis-python data-visualization matplotlib numpy pandas seaborn
Last synced: 09 May 2026
https://github.com/just-buildit/just-makeit
Python C extensions the easy way.
c-extension cmake code-generator numpy pep517 python python-packaging scaffolding wheel
Last synced: 15 Jun 2026
https://github.com/686f6c61/conjetura-goldbach-gui-python
Aplicación para visualizar la Conjetura de Goldbach, que establece que todo número par mayor que 2 puede expresarse como la suma de dos números primos.
goldbach-conjecture matplotlib numpy python3 tkinter-gui
Last synced: 26 Apr 2026
https://github.com/whiteshadow1234/guessthenumber
This is the python code for teaching high school students python
math numpy python3 random teaching-materials turtle
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https://github.com/sukanyadutta52/topic_modeling
What are the most pressing concerns regarding ‘Climate Change’ among tweeters according to Topic Modeling?
climate-change gensim matplotlib nltk numpy pandas pyldavis regular-expression spacy
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https://github.com/shailikadakia/yoga-pose-accuracy-detector
Real-time yoga pose accuracy detector using MediaPipe and OpenCV. Classifies poses from webcam input with KNN and provides feedback on duration and accuracy, built with Python and scikit-learn.
computer-vision fitness health-tech knn machine-learning mediapipe numpy opencv pandas pose-estimation python real-time-detection yoga
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https://github.com/brendandasilva/applieddatascience
4 projects from Applied Data Science
data-science numpy pandas python
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https://github.com/cyberoctane29/epa-air-quality-aqi-analysis
This project involved analyzing air quality data from the EPA, focusing on the Air Quality Index (AQI). I used Python data structures like dictionaries and sets to manage and process the data, simulating real-world data analysis to assess pollution levels and their health implications.
data-analysis numpy pandas python statistics
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https://github.com/saptarshi11/diamlp---diabetes-classification-with-multilayer-perceptron
Diabetes Classification using Multilayer Perceptron (MLP) is a binary classification problem where the goal is to predict whether a patient has diabetes (positive class) or not (negative class) based on a set of biomedical features or risk factors.
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https://github.com/lesterevse/numvision
Artificial Intelligence for recognizing numbers
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https://github.com/erikbavenstrand/neural-network-implementation
An Artificial Neural Network Implementation in Numpy to work with MNIST dataset.
ai feedforward-neural-network machine-learning mnist neural-network numpy python
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https://gitlab.com/DLR-SY/beos
Beos is a legacy Fortran tool used to calculate the static and dynamic buckling behavior of flat/curved fiber composite structures.
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https://github.com/mairagalvao/final_grades
An analysis of the final grades of students using Python
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https://github.com/dwade-eng/amazon-product-recommender-prototype-
This project is a content-based product recommendation engine inspired by Amazon's "Customers who viewed this item also viewed" feature. It uses a dataset of product metadata and user interactions to suggest similar items based on product titles, brands, and categories using TF-IDF vectorization and cosine similarity.
html numpy pandas python3 scikit-learn
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https://github.com/priyanshul28/exercise_pandas
A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib.
data-cleaning data-visualization matplotlib numpy pandas
Last synced: 09 May 2026
https://github.com/yanisdib/somint
Somint - AI-powered Trading Card Grading
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Last synced: 28 Apr 2026
https://github.com/abideen-olawuwo/wholesale_customer_data
An unsupervised learning model
clustering machine-learning matplotlib numpy pandas scipy seaborn sklearn
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https://github.com/abdullah2020/hamoye_stageb
This is my Hamoye Stage B project. The project focuses on Predicting Energy Efficiency of Buildings. It implemented different Machine Learning algorithm technique that are not limited to Linear Regression, LASSO, Ridge etc.
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Finding pattern of bought objects through market basket analysis
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https://github.com/manalisbhavsar/stock-price-prediction
Stock Price Prediction model using Machine Learning and LSTM to forecast future stock prices based on historical data. Achieved a low error rate of 3.2% by leveraging moving averages and deep learning techniques, ensuring accurate predictions.
data-analysis deep-learning lstm machine-learning matplotlib numpy pandas python
Last synced: 28 Apr 2026
https://github.com/khalidkhankakar/numpy-for-data-science
Exploring the full Numpy library for DS
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https://github.com/redinfinitypro/drawimages
Rating: (8/10) The code uses Python's Turtle module to create a canvas image, converting it to grayscale, and then placing dots at each pixel's location based on its intensity.
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https://github.com/amruta33/melanoma-detection
To build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution that can evaluate images and alert dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.
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https://github.com/raduldev/datasciencepython
Interview Task From CSIR-IGIB, Delhi & maps for journal
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https://github.com/sanchezluys/inmersion-en-datos-con-python-2024
Inmersión en Datos con Python Julio 2024
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Last synced: 28 Apr 2026