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/ben854719/trade-transfer-workflow-optimizer
This AI portfolio tools securely analyzes asset allocation, sector exposure, and performance. Its graph compares real and predicted close prices, enhanced with sentiment indicators such as “Confident” and “Surprised.” An avatar assistant provides user guidance combining technical accuracy with intuitive explanations.
agentic-ai avatar cryptography emotion-analysis encryption gemini json langgraph langraph machine-learning-algorithms matplotlib mcp-server numpy opencv-python pandas python pytorch rs256 seaborn
Last synced: 15 Feb 2026
https://github.com/shwetapardhi/assignment-2-set1-q1-basic-statistic-level-2
Plot the data, find the outliers and find out μ,σ,σ^2
boxplot matplotlib-pyplot mean numpy pandas pie-chart python seaborn standard-deviation variense
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https://github.com/elam-parithi/singapore_flatprice_predicting
Flat price prediction with Machine learning tools and python.
matplotlib numpy pandas scikit-learn seaborn
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https://github.com/kylehperez/mushroomnet
This API is for research purposes ONLY and is NOT to be used for food-safety or medical advice. Mushroomnet is a machine learning neural network for classifying mushrooms as poisonous or edible. The model was trained on data from uni.edu: over 5,000 instances of mushrooms, with 22 qualitative features and a determination of poisonous or edible.
artificial-intelligence botany flask-api machine-learning mycology neural-network numpy python3 pytorch scikit-learn
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https://github.com/matheusvazdata/retail-sales-forecast-linreg-sklearn
Minimal project for retail sales forecasting using linear regression (scikit-learn).
forecasting linear-regression machine-learning matplotlib numpy pandas scikit-learn
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https://github.com/tomaslopera/truncamiento
matplotlib modeling-and-simulation numpy scipy seaborn
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https://github.com/jessicahora/studies-on-linear-algebra
Repositorio com Estudos sobre Algebra Linear.
linalg linear-algebra matplotlib-pyplot matrix numpy python scipy
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https://github.com/chandkund/predicting-student-grades
This project predicts student grades (G1, G2, G3) based on various features such as demographic information, study habits, family background, and other academic factors. The aim is to develop a predictive model that can assist in identifying students who may need additional support.
classification-algorithm ensemble-learning exploratory-data-analysis machine-learning matplotlib numpy pandas regression-models seaborn
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https://github.com/armahdavi/ai_ml_assisted_breast_cancer_tumor_detection
Consolidating tutorial codes for breast cancer tumor detection, covering ML fundamentals like classification, feature engineering, training, evaluation, and key performance metrics.
bias-variance feature-engineering logistic-regression machine-learning machine-learning-algorithms medical-application numpy pandas python random-forest recall-precision sklearn xgboost-classifier
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https://github.com/sasanka14/water_quality_predictions
Water Quality Prediction - College Project 🌊💧 Predicts water potability (safe/unsafe) using ML models like XGBoost & Random Forest. Features data preprocessing, feature importance, model evaluation, and visualizations. Built with Python, Pandas, Scikit-learn & Seaborn for analysis. 🚀
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Customer Analytics
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https://github.com/divansh2025/python_notebook
Welcome to "Basics of Python", a repository designed to help you master the fundamentals of Python. 🚀
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Reinforcement Learning using Numpy and PyTorch.
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https://github.com/5hraddha/sda-megaline-the-best-plan
Megaline is a telecom operator and it offers its clients two prepaid plans, Surf and Ultimate. The commercial department wants to know which of the plans brings in more revenue in order to adjust the advertising budget.
data-visualization hypothesis-testing matplotlib numpy pandas scipy seaborn statistical-data-analysis
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https://github.com/urvee1810/air-quality-prediction-using-arima
Analyzed Beijing's air quality data using time series analysis and ARIMA modeling to forecast PM2.5 pollution levels. Identified seasonal patterns and correlations between pollutants, revealing insights into urban air quality trends and potential contributing factors.
arima-model dickey-fuller-test matplotlib numpy pandas python seaborn statistical-analysis time-series-analysis
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https://github.com/aadityasikder/neural-network-from-scratch-
This notebook demonstrates a neural network implementation using NumPy, without TensorFlow or PyTorch. Trained on the MNIST dataset, it features an architecture with input layer (784 neurons), two hidden layers (132 and 40 neurons), and an output layer (10 neurons) with sigmoid activation.
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https://github.com/ledsouza/medphys-bi
Aplicativo desenvolvido para gestão e análise de dados do Serviço de Física Médica em Medicina Nuclear do HCPA
aws boto3 cloud-computing cloud-run docker dotenv gcp mongodb numpy os pandas plotly pymongo python s3 streamlit terraform vitrinedev yaml
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https://github.com/dev-mdirfan/recommendation-system-various-approaches
Recommendation System
css flask html javascript machine-learning numpy pandas
Last synced: 10 Apr 2026
https://github.com/maliksaqib786/codealpha_projectname
IRIS CLASSIFICATION | Internship Project at Code Alpha
data-science logistic-regression machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/subhadipsinha722133/credit-card-fraud-dection
Web application for detecting fraudulent credit card transactions using machine learning
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https://github.com/hghyhghy/notebook
Repo consist numpy , matplotlib and pymongo aggression
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https://github.com/djdurga/upi-transactions-eda
The dataset provided encompasses a comprehensive record of Unified Payments Interface (UPI) transactions spanning the period from January 2023 to December 2023. Unified Payments Interface (UPI) has emerged as a prominent digital payment system in India, facilitating seamless fund transfers between bank accounts instantly.
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https://github.com/nas-research/knowledge-model
Our knowledge system systematically ingests, processes, and indexes open-access life science publications. It supports internal research by providing precise question-answering and efficient retrieval from a continuously updated repository of scientific literature
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https://github.com/anas436/student-performance-analysis
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https://github.com/asadiahmad/image-enhancement
Image Enhancement with OpenCV Numpy and MatPlotLib
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https://github.com/nitor-infotech-oss/aiml-data-processing
Data Processing Algorithms
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https://github.com/dina-hosny/investigate-a-dataset-project
Investigate a Dataset project - Udacity Data Analysis Professional Track. In this project, I used the Python libraries NumPy, Pandas and Matplotlib to analyze a dataset and communicate my findings about it.
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Customer Analytics in FMCG Industry
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Data Analyst Toolkit: A comprehensive collection of Python scripts and notebooks designed for data analysis tasks. Features data cleaning, visualization, statistical analysis, and machine learning models. Ideal for analysts seeking efficient, reproducible workflows.
matplotlib numpy pandas python seaborn
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https://github.com/archish27/pythontutorial
Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications
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https://github.com/moonmoonsamal/meesho_order_financial_analysis
Generating insights from Meesho sales data (Oct-Nov)
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Last synced: 16 Apr 2026
https://github.com/prarthana-singh/car_price_predector
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https://github.com/prithviraj-2003/cognifyz-data-science-internship
🎓 Data Science Internship at Cognifyz Technologies 📅 Duration: 2 Months 🧠 Worked on real-world restaurant data 🗂️ Completed structured tasks across 3 levels 📌 Tasks focused on EDA, data preprocessing, visualization, and analysis 📎 Task descriptions provided in an attached PDF
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https://github.com/samalyarov/practicum_projects
Various data analysis projects displaying tools and instruments that I am proficient with
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https://github.com/adalbertobrant/fundamentalista
Analise de Graham e de Greenblatt para escolha de ações baratas e com bom potencial de crescimento ao longo prazo
graham greenblatt matplotlib numpy pandas python3 streamlit
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https://github.com/vuanhtuan1012/data-scientist-with-python
Notes on career track "Data Scientist with Python" at DataCamp
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https://github.com/abhishek010397/tigerprediction-machinelearning
Machine Learning Prediction Model Using Multiple Regression to predict Tiger Population in India
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https://github.com/michaelgermini/python-3d-programming-book
Complete Python & 3D Programming Book: 30 chapters, 120+ examples, real-time ray tracing, ML graphics, OpenGL, NumPy
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https://github.com/danishzulfiqar/predictive-maintenance-model-training
Model Training and Deployment Scripts for Predictive Maintenance.
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data-visualization datascience-machinelearning numpy python3
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https://github.com/laurencewarne/eratosthenes
Random implementations of the sieve of Eratosthenes
algorithm eratosthenes numpy python3
Last synced: 16 Apr 2026
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.
jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/kganitis/bam-engine
High-performance Python implementation of the macroeconomic agent-based BAM model using ECS architecture
agent-based-modeling computational-economics macroeconomics numpy python
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https://github.com/abdullah-masood-05/eye-balll-detection
This repository provides advanced eye gaze tracking using MediaPipe Face Mesh for both video files and live camera feeds.
Last synced: 10 Apr 2026
https://github.com/bishopce16/school_district_analysis
The school board requested an analysis on the various performance metrics for the school district.
data-analysis jupyter-notebook numpy pandas python visual-studio-code
Last synced: 16 Apr 2026
https://github.com/dellano54/extreme-matmul
fastest matmul operation than numpy for intel CPU (xeon)
matmul matrix matrix-library matrix-multiplication numpy numpy-arrays numpy-library numpy-matrix pytorch pytorch-implementation pytorch-lightning
Last synced: 16 Apr 2026
https://github.com/ahmedsamir45/demograghic-data-analyzer
answer some questions about the data
demographic-data-analyzer numpy pandas
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https://github.com/lavkush-patel9/mnist_dataset_handwritten_digit_classifier_project-lavkush_patel
This is the Ai/ML Project Repo. here using MNIST DATASET from Keras, Tensorflow and recognise hand written digit
keras machine-learning numpy python3 tensorflow
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data-science jupyter-notebook numpy python statistics
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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
Last synced: 09 Apr 2026
https://github.com/anas436/diabetes-data-analysis
csv jupyter-notebook matplotlib numpy pandas python3 seaborn
Last synced: 17 Apr 2026
https://github.com/supershivam5/python_projects
💻 Python programming with Numpy, Pandas, Matplotlib.🌟 Love exploring new technologies. Check out my projects!
matplotlib-pyplot numpy pandas scikit-learn seaborn
Last synced: 17 Apr 2026
https://github.com/priyanshul28/ml_eda_regression_energyconsumptionforecasting
An EDA and Machine Learning Time-Series Regression Forecasting exercise on the PMJE Energy Consumption dataset demonstrating time-series analysis and the use of Time-Series Split, XGBoost, etc. The model is optimized using hyperparameter tuning through GridSearchCV. A Rob Mulla guided exercise.
forcasting machine-learning numpy pandas scikit-learn time-series-analysis
Last synced: 17 Apr 2026
https://github.com/atchayaah/vois_aicte_oct2025_atchayaa
Comprehensive data science analysis leveraging NYC Airbnb market data to derive actionable insights on optimal pricing models, key performance indicators (KPIs), and factors influencing host trust and guest experience optimization.
jupyter-notebook matplotlib numpy pandas python seaborn
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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
Last synced: 09 Apr 2026
https://github.com/christs8920/data-science-py
A collection of data science projects made in python.
data-science data-visualization machine-learning matplotlib nltk numpy pandas python sklearn svm-classifier visualization
Last synced: 29 Apr 2026
https://github.com/glbter/data-analysis-py
data-analysis labs. 50/50 made with Oleh Tonkoshkur
numpy pandas python3 scipy-stats
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https://github.com/chandkund/loan-eligibility-prediction
This project is designed to predict the eligibility of loan applicants based on various factors such as income, credit history, and marital status. By analyzing historical loan application data, the model helps to determine whether a loan application should be approved or not.
data-analysis data-science data-visualization machine-learning-algorithms matplotlib numpy pandas python seaborn
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https://github.com/laipching/sprint6_module1
Exploratory Data Analysis with Python (Pandas/Matplotlib/Seaborn). Business questions, metrics and clear visualizations.
data-visualization eda matplotlib numpy pandas python seaborn
Last synced: 29 Apr 2026
https://github.com/miozilla/treebasedmodel
treebasedmodel :evergreen_tree::airplane::dancer: : Invistico Airline | Tree-based Modeling, Machine Learning (ML), Predictive, Decision Making, GridSearchCV, sklearn |
accuracy decisiontreeclassifier exemplar experience f1-score flight hyperparameter logistic-regression matplotlib model numpy pandas plot-tree precision pyplot recall seaborn selection train-test-split tuning
Last synced: 03 Jun 2026
https://github.com/mohamed15058/-credit-card-fraud-detection
Credit-Card-Fraud-Detection
finacial machine-learning matplotlib numpy pandas seaborn sklearn
Last synced: 17 Apr 2026
https://github.com/ahshah322/world-happiness-report-2025
Data analysis and visualization of the World Happiness Report 2025 using Python (pandas, seaborn, matplotlib). Explores how GDP, health, freedom, generosity, and corruption perception influence global happiness.
data-analysis data-science matplotlib numpy pandas python seaborn worldhappiness
Last synced: 29 Apr 2026
https://github.com/shashwat9kumar/us-accidents-data-analysis
Analysis of the US accidents using the US-Accidents dataset (4.2 million entries) from Kaggle
accidents accidents-analysis data-analysis data-analytics data-visualisation data-visualization matplotlib numpy pandas python
Last synced: 17 Apr 2026
https://github.com/fanisgl/video-games-sales-data
Data Analysis of Sales Dataset using Python.
data-analysis data-science data-visualization dataset jupyter-notebooks matplotlib numpy pandas poisson-distribution python python3 sales statistics
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https://github.com/ricobuilds/ml-roadmap
Opinionated roadmap to machine learning in 2023
conda huggingface machine-learning matplotlib numpy pandas python pytorch
Last synced: 06 Mar 2026
https://github.com/abideen-olawuwo/sign-language-lambda
A model deployed to AWS Lambda
aws aws-lambda keras lambda numpy requests serverless
Last synced: 29 Apr 2026
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.
Last synced: 16 Aug 2025
https://github.com/kodemartin/np-pd-portfolio
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https://github.com/shibbir24/amazon-product-sales-data-analysis-trends-and-insights
Amazon Product Sales Data Analysis: Trends and Insights
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https://github.com/neerajcodes888/a-novel-used-car-price-prediction-model-based-on-lindenoise
Welcome to the LinDenoise Repository! LinDenoise offers a smart solution for cleaning noisy data in regression tasks. Integrated seamlessly within the widely-used scikit-learn framework, it effortlessly enhances data quality while improving predictive accuracy
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https://github.com/kheriberto/knn_project
This is a simple project that uses dummie data to practice and demonstrate my knowledge of the KNN algorithm.
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https://github.com/esraamhmd/intelligent-skin-cancer-image-based-detection-models
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https://github.com/amirmohammadgholampour/mall-customer-segmentation
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numpy pandas python scikit-learn
Last synced: 02 Apr 2026
https://github.com/akshitvats026/heart_disease_prediction
An ML-based Heart Disease Prediction System that predicts the likelihood of heart disease based on user health parameters. Built using Python, Pandas, and Scikit-learn, the system performs data preprocessing, trains a predictive model, and provides real-time predictions with high accuracy.
accuracy-score logistic-regression machine-learning matplotlib-pyplot numpy pandas python scikit-learn
Last synced: 02 Apr 2026
https://github.com/satyas567/weatherdataanalysis
Comprehensive Weather Data Analysis with Python: Explore trends, visualize patterns, detect outliers, and predict temperature using humidity and wind speed
jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn seaborn
Last synced: 02 Apr 2026
https://github.com/lmicovic/neural-network-image-recognition
Application that recognize clothes items from images.
fashion-mnist keras machine-learning mathplotlib mnist-classification neural-network numpy opencv pandas python3 tensorflow
Last synced: 02 Apr 2026
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.
keras machine-learning numpy pandas python3 sckiit-learn tensorflow
Last synced: 09 Apr 2026
https://github.com/davityak03/basics-of-python-
In this we have done multiple programs in python so as to develop the basic skill sets in python
array dictionary lists matrix numpy pandas programming python sets
Last synced: 02 Apr 2026
https://github.com/abdullahashfaqvirk/SMS-Spam-Detection
A machine learning application designed to classify SMS messages as spam or non-spam, offering real-time analysis to identify potentially harmful content.
css3 docker flask html5 javascript matplotlib nltk numpy pandas python scikit-learn seaborn tailwindcss xgboost
Last synced: 16 Aug 2025
https://github.com/loong64/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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Last synced: 02 Apr 2026
https://github.com/niteshchawla/clustering-ml
Analyzing the vast data of learners can uncover patterns in their professional backgrounds and preferences. Allowing Scaler to make tailored content recommendations and provide specialized mentorship.
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https://github.com/ola-kaznowska/-image-processing
Image Processing
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Last synced: 17 Apr 2026