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/sazzadul-eanan/basic_numpy_learning
Numpy_Basics
jupyter-notebook numpy numpy-arrays numpy-library numpy-matrix numpy-tutorial
Last synced: 22 Apr 2026
https://github.com/himudigonda/gradwire
GradWire: A NumPy-based Automatic Differentiation Engine
automatic-differentiation deep-learning dynamic-computation-graphs machine-learning numpy operator-overloading
Last synced: 22 Apr 2026
https://github.com/prince-gh/numpy
Learn Numpy step by step
library numpy prince-gh python
Last synced: 22 Apr 2026
https://github.com/syedsaadahmed/playing-with-pandas-numpy-matplotlib
Practicing pandas, matplotlib and numpy for different data-sets, practicng these libraries and putting all the bit here in this repository
jupyter-notebook matplotlib numpy pandas pandas-numpy-matplotlib python3
Last synced: 05 Jun 2026
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/ahmad-ali-rafique/numpy-mastery-notebook
Inside this repository, you'll discover a comprehensive notebook dedicated to showcasing various NumPy array methods and operations. From basic array manipulation to advanced techniques, I've compiled a collection of examples and explanations to help both beginners and seasoned Python developers deepen their understanding of NumPy.
dataanalytics numpy numpy-arrays numpy-exercises numpy-library numpy-python
Last synced: 24 Apr 2026
https://github.com/abhinav330/iris-dataset-classic-ml-problem
This repository demonstrates the classification of Iris flowers into three species (Setosa, Versicolor, Virginica) using a Support Vector Machine (SVM) classifier.
classification data-science iris-dataset jupyter machine-learning numpy pandas python sklearn support-vector-machines svm-classifier
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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/jaewonson37/neural_networks_and_deep_learning1
adam-optimizer backward-propagation cost-functions forward-propagation gpt gredient-decent machine-translation momentum multihead-attention multilayer-perceptrons neural-network-training neural-style-transfer numpy rmsprop xor-logical-operator
Last synced: 21 May 2026
https://github.com/mr-chang95/datascience_airbnb
Data Science Project for Udacity's Data Scientist Program. Using Python in Jupyter Notebook.
airbnb data-analysis data-science data-visualization jupyter-notebook numpy pandas python sklearn
Last synced: 08 Apr 2026
https://github.com/johanntf/direccion_maximo_crecimiento
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customtkinter matplotlib numpy python
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anaconda computer-vision cv2-library ffmpeg jupyter-notebook matplotlib numpy opencv os urllib zipfile
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https://github.com/hamishivi/denserflow
A basic numpy neural net library. This achieved high marks in a uni assignment!
deep-learning neural-network numpy
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https://github.com/abhishek-k-git/feature-engineering-using-stock-exchange-data
Creating quantitative trading strategies requires historical and real-time data and involves comparing models against future returns post-training.
lightgbm matplotlib numpy pandas plotly seaborn
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https://github.com/bbergerud/tenops
Creating a common interface for numpy, pytorch, tensorflow, etc.
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https://github.com/hi-shekhar/data_science
Data science
algorithm-comparison decision-trees keras kmeans linear-regression logistic-regression numpy pandas python sentiment-analysis svm time-series visualization webcrawler
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New Django field to store numpy ndarray.
django django-fields numpy numpy-arrays
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https://github.com/hansalemaos/stridesduplicatefinder
Calculate overlapping values between two arrays and return the results as a DataFrame
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Learning how to use jupyter notebook, tensorflow, numpy and other librairies for machine learning projects. Following Thibaut Neveu's tutorial.
artificial-intelligence convolutional-neural-networks deep-learning lstm-neural-networks machine-learning matplotlib multilayer-neural-networks numpy personal recurrent-neural-networks sklearn tensorflow
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Colab notebook to generate a spectrogram visualization on a programmable led installation
colab-notebook numpy pandas python
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https://github.com/salamanderxing/jax-gaussian-bayes
A Multivariate Gaussian Bayes classifier written using JAX
cifar10 gaussian-bayesian-processes gaussian-naive-bayes jax multivariate-gaussian naive-bayes-classifier numpy xla
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https://github.com/Mike014/SoundBot
This Repository will contain the prototype of a ChatBot created for the playback of audio, or everything related to audio in the world of video games and not.
chatbot dsp nlp nlp-library nlp-machine-learning numpy python scipy sound-processing
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Análise dos dados do Procon, período de 2013 à 2016.
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https://github.com/shrutiii1109/diwali-sales-analysis-through-python
Data analysis project on Diwali sales using Python (Pandas, NumPy, Matplotlib, Seaborn). The goal is to analyze customer behavior, identify sales trends, and provide insights to improve marketing and business strategies.
data-analysis jupyer-notebook matplotlib numpy pandas python seaborn
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Through the use of Flask and machine learning, I show how to implement the student placement prediction model.
flask machine-learning numpy pandas
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YouTube Data Analysis using Python — uncovering trends, engagement patterns, and correlations between likes, comments, views, and categories to understand what drives content success.
analysis data-analysis data-visualization matplotlib-pyplot numpy pandas portfolio-project python seaborn youtube
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https://github.com/om-kanabar/sciencefair2025
This is my project for Chicago Public School's student science fair 2025.
chicago-public-schools matplotlib-pyplot neural-networks numpy python science-fair tensorflow
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https://github.com/emredemirbas/google-playstore-eda
Exploratory Data Analysis (EDA) of the Google Play Store dataset — examining trends in app ratings, categories, pricing, and user engagement using Python and LaTeX.
exploratory-data-analysis matplotlib numpy pandas python seaborn
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https://github.com/nskamaleshmani/exoseeker
🌌 Discover and analyze exoplanets with ExoSeeker, a tool designed for efficient world-hunting using Python and data visualization techniques.
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Analysis of video game sales data of an online store Ice, which sells video games all over the world & identify patterns that determine whether a game succeeds or not.
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computer-vision deep-learning deepsort machine-learning numpy opencv python torch ultralytics yolov8
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https://github.com/djdhairya/fish-species-detection-and-recognition
Dataset
deep-learning epoch heatmap mobilenetv2 numpy pandas relu sckiit-learn train-test-split
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https://github.com/harmanveer-2546/ad-click-prediction-analysis-and-insights
To predict whether a user will click on ad or not.
ads analysis classification-report click insights linearregression matplotlib numpy onehotencoder pandas pipeline prediction preprocessing randomforestclassifier seaborn sklearn sklearn-compose sklearn-library sklearn-metrics standardscaler
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The 'Machine Failure Predictor' is a web application designed to enable predictive maintenance for industrial equipment. Leveraging machine learning techniques, this application predicts whether equipment will fail and identifies the type of failure based on key process parameters.
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Contrast improvements on PIL
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A Data-Driven Approach to Food Security and Supermarket Accessibility
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https://github.com/nishthasharma-22/binary-black-hole-merger-gravitational-waves-simulation
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astrophysics blackhole-merger gravity-simulator matplotlib numpy python scipy
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https://github.com/gregoritsch3/ml_eda_classification_diabetes
An EDA and Machine Learning Classification exercise on the Diabetes dataset demonstrating the use of SQLAlchemy data import from an SQL database (PostgreSQL), Pre-processing Pipelines, ANOVA, 9 ScikitLearn ML models, Hyperparamter Tuning for the best performing one, and feature importance.
anova machine-learning matplotlib numpy pandas pipelines scikit-learn seaborn sql sqlalchemy statistics
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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/shibbir-ahmad24/amazon-product-sales-data-analysis-trends-and-insights
Amazon Product Sales Data Analysis: Trends and Insights
amazon-dataset data-analysis matplotlib numpy pandas seaborn
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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
Last synced: 20 Jan 2026
https://github.com/gyselle-marques/transferlearningyolo-desafiodio
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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https://github.com/mituskillologies/aiml-dypiemr-sep24
Programs conducted at DYPIEMR, Pune in training on AIML during September 2024.
artificial-intelligence data-analysis data-science machine-learning matplotlib neural-network numpy pandas python3
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https://github.com/harmanveer-2546/motor-vehicle-accidents-in-india
As per the report, a total of 4,61,312 road accidents have been reported by States and Union Territories (UTs) during the calendar year 2022, which claimed 1,68,491 lives and caused injuries to 4,43,366 persons.
accidents accidents-analysis darkgrid data-analysis eda exploratory-data-analysis indian-roads inline matplotlib motor-vehicles numpy pandas review seaborn visualization
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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.
machine-learning numpy pandas python sklearn
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The utilization of the ResNet architecture and Transfer Learning methods to classify Poultry Meat Freshness images into two categories, namely Fresh and Rotten.
artificial-intelligence binary-classification cnn colab-notebooks computer-vision deep-learning fine-tuning imagenet machine-learning meat-classification numpy pandas poultry python residual-networks resnet scikit-learn supervised-learning tensorflow transfer-learning
Last synced: 15 Apr 2026
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A deep learning-based regression model built using Artificial Neural Networks (ANN) in PyTorch to predict house prices from structured data. This project demonstrates the application of machine learning and deep learning techniques for solving real-world problems in the housing domain.
artificial-neural-networks deep-neural-networks machine-learning numpy pandas python3 pytorch scikit-learn
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https://github.com/prajakta1321/authencheck
Amdocs Gen AI Graduate Hackathon 2024-25- A comprehensive fact-checking and misinformation detection system that leverages cutting-edge AI models and multiple news sources to verify information circulating on social media
api bert-fine-tuning flask-application matplotlib ngrok-server nlp nlp-machine-learning numpy pandas python3 scikit-learn seaborn wandb
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https://github.com/hossein-cod/parking-space-detection
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cv2 jupyter-notebook numpy opencv pickle python
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https://github.com/ijproject/calculate-absorption-rate
大気を構成する分子ごとの赤外線吸収割合を計算するプログラム。
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https://github.com/alexsolov28/vkrb
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jupyter-notebook matplotlib numpy pandas python scikitlearn seaborn streamlit
Last synced: 15 Feb 2026
https://github.com/dwija12903/mentorness-internship
Developed and applied technical skills in areas such as programming languages, data analysis, and machine learning methodologies.
matplotlib numpy pandas python scikit-learn
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https://github.com/cyberlument/opencv-colormasking-red-
This mini project opencv is for educational purpose.
numpy opencv opencv-python pycharm vscode
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https://github.com/priyasingh26/financial_document-data_extraction
This project extracts key information from financial documents like invoices and receipts using text recognition. It processes images, classifies documents, and extracts data, which is then stored in a CSV file. The aim is to automate data collection from scanned documents, reducing manual work and increasing accuracy.
data-extraction numpy ocr pandas pillow preprocessing pytesseract-ocr python sklearn torch transformers
Last synced: 08 Apr 2026
https://github.com/caefleury/cis-ieee-difusion-model
Repositório teste para códigos do projeto de Modelo de Difusão do branch CIS-IEEE
docker docker-compose numpy python3 tensorflow
Last synced: 08 Apr 2026
https://github.com/technologicat/orderfix
Reorder solutions of parametric studies to make continuous curves
cython eigenvalues numpy postprocessing python python2 python27 python3 python34
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https://github.com/matkorussovich/student-performance-analysis
Este repositorio contiene un análisis del desempeño académico de estudiantes, realizado como parte del módulo "Introducción al Data Science" en el Máster en Data Science de la Universidad Europea de Madrid.
jupyter-notebook matplotlib-pyplot numpy pandas python
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https://github.com/vbhvsingh0/fraudulent_transactions
A few models were developed based on Decision trees and Logistic Regression to categorize fraudulent transactions
credit-card-fraud data-science logistic-regression machine-learning numpy numpy-python pandas pandas-python python3 random-forest-classifier
Last synced: 09 May 2026
https://github.com/chawthinn/car-price-prediction-regression-ml
This project predicts used car prices using regression models including Linear, Ridge, Random Forest, XGBoost, and LightGBM. It covers preprocessing, EDA, model evaluation, hyperparameter tuning, and model persistence using Scikit-learn and related libraries.
car-price-prediction lgbmregressor linearregression numpy pandas python scikit-learn xgbregressor
Last synced: 08 Apr 2026
https://github.com/massimilianovisintainer/diabetics-prediction-model
Machine learning model for diabetes prediction.
machine-learning numpy pandas python sklearn svm-classifier svm-model
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https://github.com/poziloi/-image_processing-
Методы и алгоритмы цифровой обработки изображений, задания
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https://github.com/shibbir-ahmad24/a-deep-dive-into-covid-19-death-trends-in-the-usa
Unveiling Insights: A Deep Dive into COVID-19 Death Trends in USA
aggregation colab-notebook interactive-visualizations map matplotlib numpy pandas python3 seaborn
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https://github.com/babagata/praktikum-4-data-analysis
Data analysis for course "Physics laboratory IV"
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https://github.com/vbhvsingh0/deforestation_rainfall_correlation
The aim of this project is to check if there is any correlation of rainfall with deforestation in Pennsylvania state of USA.
correlation-analysis data-science matplotlib-pyplot numpy pandas python3
Last synced: 29 Apr 2026
https://github.com/brenderb/python-projects
General interest and school python projects I completed. Included are lab analysis files (with uncertainty analysis, fitting, and graphing), simulation files (visualization of electric+magnetic fields, etc), specific research project files (data extraction + processing for a building science lab, graphs for a medical physics paper) and misc files
csv fitting matlab matplotlib numpy os pandas pyplot python scipy uncertainty
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https://github.com/vbhvsingh0/cdc_immunization
This project explores the relationships in between different vaccines and the sex, age and other basic features in the data.
data-cleansing data-manipulation-with-pandas data-science numpy pandas-python python3
Last synced: 05 May 2026
https://github.com/farzeennimran/moon-phases-prediction-using-ai
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artificial-intelligence cnn cv2-library data-science data-visualization deep-learning keras matplotlib numpy opencv predictive-modeling python tensorflow
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https://github.com/asut00/python-piscine_42ai
Python Bootcamp: A one-week intensive course with 42AI at École 42, covering Python fundamentals, data manipulation, and introductory AI concepts.
matplotlib numpy pandas python
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https://github.com/bishopce16/world_weather_analysis
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apis citipy datetime gmaps json-traversal jupyter-notebook matplotlib numpy pandas python requests scipy
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https://github.com/haydencordeiro/terafeed
Terafeed - Addressing Zero Hunger in Africa (Sustainability Goal SDG 2)
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https://github.com/winstxnhdw/pyalign
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https://github.com/bishopce16/surfs_up
An analysis of weather data to determine opening of an ice cream and surf shop using SQLite, SQLAlchemy, and Python.
matplotlib numpy pandas python sqlalchemy sqlite weather
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https://github.com/chandkund/image-classification-using-the-mnist-dataset
Image Classification using the MNIST dataset. This project leverages a Convolutional Neural Network (CNN) to recognize and classify handwritten digits with high accuracy. Includes data preprocessing, model architecture, and evaluation. Explore the code and results here!
computer-vision data-science machine-learning matplotlib numpy pandas python
Last synced: 08 Apr 2026
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
Last synced: 01 Jun 2026
https://github.com/0eix/deepclassifier
DeepClassify - A Versatile Command Line Image Classifier
classification classifier cli cnn command-line-app deep-learning numpy pandas pillow python pytorch torchvision transfer-learning
Last synced: 08 Apr 2026
https://github.com/anas436/analyzing-automobile-data-set-using-python
jupyter-notebook numpy pandas python3
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https://github.com/allenvox/neural
Workspace for Neural Networks class
jupyter-notebook neural-networks numpy python pytorch tensorflow
Last synced: 02 Jan 2026
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
Last synced: 13 Apr 2026
https://github.com/zborovskaanna/grosery_store_sales_analysis
Python data analysis project. Analysis of grocery store sales using visualizations and reporting in Tableau
data-analysis data-visualization matplotlib numpy pandas python seaborn tableau
Last synced: 08 Apr 2026
https://github.com/raghavendranhp/airbnb-data-analysis
The Airbnb Data Analysis project focuses on analyzing Airbnb data using MongoDB Atlas, Python scripting, data preprocessing, visualization, and interactive geospatial insights. We delve into the world of property management and tourism to uncover trends, pricing variations, and location-based analysis.
eda jupyter-notebook mongodb numpy pandas powerbi preprocessing
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https://github.com/5hraddha/zyfra-gold-recovery-prediction
Zyfra is a pioneering developer of efficiency solutions for heavy industries & is aiming to take help of machine learning to optimize the efficiency in Gold Ore processing
decisiontreeregressor dummyregressor linearregression numpy pandas randomforestregressor scipy seaborn smape supervised-learning
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https://github.com/dineshdhamodharan24/singapore_flat_resale_
This project focuses on developing a machine learning model to predict the resale values of apartments in Singapore. The goal is to create a user-friendly online application that enables users to obtain accurate predictions for the resale values of specific properties.
data-analysis flat json numpy pandas pickle project python streamlit
Last synced: 07 Apr 2026
https://github.com/rakibhhridoy/covid19analysisindashboard-tableau
Covid19 dashboard analysis of world,north america,south east Asia and their characteristics upon pandemic. Some interesting statistics is shown by the data. The increase rate make effect on death and recover rate quite periodic. Simulating those changes make more interactive.
covid-19 dashboard data-processing dataviz numpy pandas python statistics tableau tableau-dashboards
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numpy numpy-arrays numpy-exercises
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https://github.com/harmanveer2546/house-price-prediction-using-machine-learning
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.
catboost-classifier linear-regression machine-learning matplotlib numpy pandas python random-forest seaborn support-vector-machine
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https://github.com/0xkibh/books-recommendation-system
This is the website with collections of top readed books with the functionaliy of recommendation system. It basically recommends the book on the basis of given books. It also shows data of different books available.
bootstrap css flask font-awesome html numpy pandas pickle
Last synced: 07 Apr 2026
https://github.com/ugurcan222/a-different-approach--image-enhancement-with-imputation-and-regression-methods
This experimental work presents a different approach to increase the size and quality of an image by adding a blank pixel around each pixel in an image, enlarging the image, breaking it into parts, and generating these blank pixels by predicting them with models.
ai-image-upscaling computer-vision digital-image-processing gradient-boosting image-analysis image-enhancement image-enlargement image-interpolation image-processing imputation knn machine-learning numpy opencv pixel-prediction python randomforest regression-models super-resolution xgboost
Last synced: 17 Jan 2026
https://github.com/rohansoni45/movie-recommendation-system
This project is a Content-Based Recommender System that suggests movies to users based on their preferences and watched history. The system leverages cosine similarity to find and recommend movies similar to a selected title. It is built using Python and libraries like Pandas, NumPy, and Scikit-learn.
content-based-filtering cosine-similarity data-analysis data-science machine-learning numpy pandas python recommender-system render scikit-learn
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https://github.com/youssefali11997/100-numpy-exercises
100 exercise on NumPy library. NumPy (Numerical Python) is a package used for scientific computing with Python.
Last synced: 18 May 2026
https://github.com/aysh2603/twitter-sentiment-analysis
The Twitter Sentiment Analysis project employs Natural Language Processing (NLP) techniques to classify tweets into positive or negative sentiments. By analyzing the tone of tweets, this project provides insights into public sentiment on various topics.
hyperparameter-tuning nlp-machine-learning numpy pandas python3 scikit-learn
Last synced: 13 Jul 2025
