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/miladsade96/numpy_and_algebra
Introduction to numpy and linear algebra
algebra linear-algebra matrices numpy tensor vectors
Last synced: 17 May 2026
https://github.com/popckovs/computational_mathematics
Создаю свой модуль для решение задач по вычислительной математике.
mathematics matplotlib numpy python-3
Last synced: 25 Jan 2026
https://github.com/yashika-malhotra/micromobility-service-provider---hypothesis-testing
Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts
colab-notebook data-visualization eda exploratory-data-analysis hypothesis-testing jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-library scipy-stats seaborn skit-learn
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https://github.com/swaathi/cpt-recommendation
Collaborative Filtering using User-Item and Item-Item Models
collaborative-filtering numpy recommendation-system scikit-learn
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https://github.com/yashuv/numpy-for-data-science
A well structured practical deep dive into functional programming in NumPy.
Last synced: 28 Oct 2025
https://github.com/lolosoares/dataanalises
This repository shows my projects made in my journey learning about data analises, ciency, engeniering and ML.
acces data-science dax excel mysql numpy pandas powerbi powerquery python r seaborn sql vba
Last synced: 10 Apr 2026
https://github.com/mgobeaalcoba/survival_predictor_on_the_titanic_scikit_learn
Titanic Survival Predictor using Scikit-Learn: Machine learning model and analysis to predict passenger survival on the Titanic based on historical data.
matplotlib numpy pandas python3 scikit-learn seaborn titanic-dataset titanic-kaggle titanic-survival-prediction
Last synced: 10 Apr 2026
https://github.com/simran1002/strip-analyzer
The Strip Color Identification is used to analyze images of urine strips uploaded by users. Using computer vision techniques, particularly leveraging OpenCV, the interface identifies and extracts the colors present on the strip.
flask multer nodejs numpy opencv python reactjs
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https://github.com/ryanfranklin237/data-science-ml
trained ML and DL models to give accurate classifications,predictions and recommendations
artificial-neural-networks convolutional-neural-networks jupyter-notebooks kaggle keras logistic-regression naive-bayes-algorithm numpy pandas python scikitlearn-machine-learning tensorflow
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https://github.com/localhostpib/pythonplayground
Playground of destruction :-D
bootstrap designpatterns docker flask html jupyter-notebook matplotlib numpy office365 pandas plone5 plotly pygal python rest-api schedule seaborn sharepoint tal totp
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🦅 Artifical Swarm Intelligence
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https://github.com/subhash3/neural_net_using_numpy
Feed Forward Neural Networks using Numpy
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https://github.com/johndev19/data-visualization-tool
A Python-based application for generating various types of charts and graphs from user-input data.
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https://github.com/kr1shnasomani/treetracer
Detection of trees from aerial image using detectron2
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https://github.com/hedriss10/projetc-cardio
"Analise de dados sobre saúde"
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https://github.com/aryan-coder-student/smart-agricultural-monitering-aryanpahari037-
Increase agricultural productivity and sustainability by offering a smart farming assistant that helps farmers make data-driven decisions to optimize resource use and crop management.
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https://github.com/thamirisq/data_analysis_culinary_journey
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https://github.com/cusyio/datenverarbeitung-mit-numpy
Kurs zum Schreiben und Optimieren eigener Programme zur Datenverarbeitung mit Numpy.
Last synced: 08 Jun 2026
https://github.com/gandhasiri-rahul-mohan/random-forests-q2-company_data
About the data: Let’s consider a Company dataset with around 10 variables and 400 records.
data-science machine-learning numpy pandas python random-forest seaborn-plots
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https://github.com/zaaim-halim/image-processing
an implementation of different filters and operations on images using Numpy and little help from OpenCV and PILL
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https://github.com/priyanshubiswas-tech/customer-churn-analysis-eda-
This project analyzes customer churn in a telecom company using Python, Pandas, SQL, and data visualization. It identifies key factors like contract type, payment method, and tenure to provide insights for improving retention. The skills gained are applicable in customer retention, user behavior analysis, fraud detection, and HR analytics.
data-analysis data-visualization dataset explo exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas-dataframe python seaborn seaborn-python
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https://github.com/jbayardo/aa-tp1
Machine learning on spam
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https://github.com/mattdelaune/saas_cohort_analysis
This project analyzes customer segmentation and behavior using data science and cohort analysis. Key metrics like CRR, NRR, CLR, and CLV are examined through detailed charts, including the cohort layer cake and CLR vs. CLV cost efficiency analysis. Exploratory Data Analysis and systematic data manipulation reveal actionable insights.
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机器学习笔记
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Replacement of `print()` for printing 2d array with readability including Torch and Numpy.
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A loan approval prediction system.
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A customizable image and GIF generator mimicking old television static, offering control over colors, blur, dimensions, pixel size, and many more.
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This repo contains learnings about Data Science and Machine Learning using Python
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https://github.com/nikita620/phishing-website-detection-by-machine-learning-techniques
Phishing is one of the familiar attacks that trick users to access malicious content and gain their information. In terms of website interface and uniform resource locator (URL), most phishing webpages look identical to the actual webpages. Various strategies for detecting phishing websites, such as blacklist, heuristic, Etc.
bagging boosting decision-trees numpy pandas python random-forest sckiit-learn sql
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https://github.com/nemeslaszlo/titanic-logistic-regression
This notebook covers a simple analysis with logistic regression on the popular titanic dataset.
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https://github.com/renan-siqueira/face-recognition-research
This project pertains to video analysis, face recognition, and image clustering.
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Implementation and analysis of core Machine Learning Algorithms from scratch.
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https://github.com/Shriram-Vibhute/RealEstateForecast-Price-Prediction-System
This project aims to predict Prices of House. It involves several key stages, including data preprocessing, feature engineering, model selection, and evaluation. The goal is to develop a model that provides accurate and reliable price predictions based on the given features.
exploratory-data-analysis feature-engineering feature-transformation hyperparameter-tuning machine-learning matplotlib numpy pandas python random-forest sklearn
Last synced: 02 Apr 2025
https://github.com/aarryasutar/logistic_regression_on_age_prediction
This code evaluates the performance of a logistic regression model on age prediction using various features to predict a binary target variable, calculating metrics to determine the performance. It evaluates the comparison, identifies favorable features, and visualizes the ROC-AUC curve to determine the best model performance.
accuracy-score confusion-matrix f1-score feature-selection logistic-regression model-training numpy pandas precision recall rmse roc-auc-curve scikit-learn visualization
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https://github.com/mohd-tahzeeb-khan/reverse_dcf-calculator-and-vistualization
This Dashboard is Developed by me. I had Applied for Internship in which i had to develop this Dashboard to showcase my skill and talent.
beautifulsoup bs4 dash dashboard dataframes flask numpy pandas plotly plotly-dash plotly-express python requests shares stock-market
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https://github.com/kunalshelke90/predict-bank-credit-risk-using-south-german-credit-data
This is an end-to-end ML project, which aims at developing a classification model for the problem of classifying a given customer profile into either of the risk category (safe or not safe). The final classifier used for this project is CatBoost classifier. Deployed in AWS.
aws cassandra catboost-classifier classification credit-risk data data-science dataanalysis dockerfile finance financial-analysis flask github-actions logging machine-learning mlflow numpy pandas python
Last synced: 03 Jan 2026
https://github.com/yogeshnile/flight-delay-prediction
In this repo i developed predict a flight delay using machine learning.
flight-delay-prediction jupyter-notebook machine-learning numpy pandas python3 seaborn sklearn
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https://github.com/priyanshgoantiya/ml-from-scratch-without-sklearn
This repository contains machine learning algorithms implemented from scratch using only NumPy—without relying on scikit-learn or other high-level ML libraries. The goal is to provide a deeper understanding of how fundamental machine learning models work under the hood by implementing them step by step.
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https://github.com/ksasi/boston_housing
Predicting Boston Housing Prices - Udacity
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A Mask Detection Application using Keras/TensorFlow and OpenCV.
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https://github.com/rhazra-003/flight_delay_predictor
A ML model to predict Flight Delays
azure-storage jupyter-notebook matplotlib numpy pandas scikit-learn seaborn
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The Implementation section of the "Signals and Systems" course
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Molecular Dynamics Simulation using GROMACS in Jupyter notebook
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Python Big Data programming tasks for institute
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https://github.com/medyessinkhlif/medclaimml
An AI-powered machine learning application designed to process healthcare reimbursement claims. It analyzes medical documents, client information, insurance policies, and legal regulations to predict accurate reimbursement amounts, ensuring efficiency, compliance, and fraud detection.
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https://github.com/olutosinbanjo/direction_field
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My Machine and Deep Learning Practice and Projects Notebooks
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https://github.com/hit07/data_science
Data [ Exploration, Cleaning, Manipulation, Visualisation ]
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Udacity Data Analysis Nanodegree Program
data-analysis data-visualization numpy pandas python
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https://github.com/bl33h/relations
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discrete-mathematics matrix matrix-operations numpy python relations
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https://github.com/aryehky/ml-theory-to-implementation
📚🧠 Explores core machine learning concepts through interactive, hands-on Jupyter notebooks. From building a neural network from scratch to applying dimensionality reduction and classification with real-world libraries, this project bridges the gap between theory and practical application.
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https://github.com/shriram-vibhute/digit_classification
This project demonstrates various machine learning techniques for classifying handwritten digits from the MNIST dataset. It covers data preprocessing, model training, evaluation, and advanced classification strategies.
classification data-analysis data-visualization machine-learning matplotlib numpy pandas sk-learn
Last synced: 28 Oct 2025
https://github.com/elhariri78/case-study-a-better-smoker-detector
Case Study-A better Smoker Detector
data dataframe evaluation kaggle matplotlib-pyplot numpy pandas pandas-dataframe pandas-python python3 seaborn sklearn
Last synced: 07 Apr 2026
https://github.com/isaacef/independent-motion-detector
Detect independently moving objects in a scene captured by a single camera.
Last synced: 09 May 2026
https://github.com/aaa1928/iris-ml-classifier
PyTorch model that classifies Iris species based on characteristics about the length and width of sepals and petals.
deep-learning iris-classification iris-dataset machine-learning neural-network numpy pandas python pytorch scikit-learn
Last synced: 05 Apr 2026
https://github.com/naharashu/num.js
Fast and big library for mathematics and science work(analog of numpy for js)
arrays cdn javascript library math maths numjs numpy open-source web website
Last synced: 07 May 2025
https://github.com/ki3mono/naive_bayes_classifier
This project implements Naive Bayes Classifiers for two data types: Multinomial Naive Bayes Classifier and Gaussian Naive Bayes Classifier. Developed as part of the Probability Theory and Statistics course in the second year of Computer Science at AGH University of Krakow.
iris-dataset mushroom-dataset naive-bayes-classifier numpy python scikit-learn
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dateset machine-learning matplotlib numpy pandas python sklearn-library stremlit
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https://github.com/raghavendranhp/waiter_tip_prediction
The "Waiter Tips Prediction Model" is a machine learning tool that forecasts waiter tips based on factors like the total bill, customer demographics, and dining specifics. It assists waitstaff and restaurants in understanding and estimating tipping patterns
eda numpy pandas plotly-express plotly-graph-objects python sklearn
Last synced: 06 Apr 2026
https://github.com/lukeroantree4815162342/mastersproject
Code for "Computational Methods For Ultrafast Quantum Physics"
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Last synced: 10 Apr 2026
https://github.com/vidhi1290/essay-quality-prediction-keystroke-analysis-with-randomforest
Explore the Essay Quality Prediction project—a machine learning model that predicts essay quality based on typing behaviors. Leveraging a Random Forest Regressor, this tool provides insights into writing processes. Connect with me on LinkedIn and find more projects on GitHub. Happy coding! 📝✨
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Different Neural Networks using keras
deep-learning keras machine-learning neural-networks numpy pandas python sklearn
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https://github.com/gaurav9364/credit-card-fraud-detection
Credit Card Fraud Detection using Machine Learning – A classification project that detects fraudulent credit card transactions using supervised learning, with data preprocessing, handling class imbalance, and model evaluation (ROC-AUC, Precision, Recall, F1-score).
googlecolab imbalanced-learn matplotlib numpy pandas python scikit-learn seaborn xgboost
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Image Augmentation
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realtime handwritten digit recognition & mnist digit classification from scratch w/ only maths and numpy
classification math ml mnist numpy
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https://github.com/iamshatha/disease-symptom-analysis
The data file defines the relationship between different symptoms and possible diseases
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https://github.com/ankushmallick1100/task-1-the-sparks-foundation-data-science-and-business-analytics-internship
Task 01: Predict the percentage of an student based on no of study hours with Supervised Machine Learning
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https://github.com/rayyan9477/data-driven-house-price-prediction-and-property-recommendation-app
The app leverages algorithms to accurately predict house prices and recommend similar properties based on a saved dataset through content-based filtering. It is tailored for homebuyers seeking their dream house and real estate investors looking for profitable opportunities, providing powerful insights and data-driven decision-making support.
data-science eda html machine-learning numpy pandas python scikit-learn
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learning deep learning and machine learnint
matplotlib numpy os pandas pillow python3 pytorch
Last synced: 08 Apr 2026
https://github.com/Tritonix711/FractureAI
This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.
css cv2 flask gorq html javascript matplotlib npm numpy pandas pydantic python react scikit-learn torch torchvision ultralytics
Last synced: 19 Aug 2025
https://github.com/thedevreda/python
My Full Backup Packagaes & Files Guide for Python 👷♂️
jupyter-notebook matplotlib numpy pandas python seaborn
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Last synced: 05 May 2026
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In this i tried to design a model that can predict the price of stock using different methods and algorithms.
bullish-signal death-cross decision-tree eda golden-cross gradient-boosting knn machine-learning-algorithms matplotlib numpy pandas prediction python random-forest scalar seaborn skit-learn svm xgboost
Last synced: 10 Apr 2026
https://github.com/shahin-ro/table-detection
Python tool for table extraction & Persian OCR. Uses OpenCV for table detection, Tesseract for text extraction, & Pandas for data output. Visualizes cells & text. Ideal for Persian documents! 📄✨
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https://github.com/evardnk/dataanalyticsportfolio
Собрание моих проектов по аналитике данных
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Last synced: 17 Feb 2026
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https://github.com/virajbhutada/article-recommendation-system
This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.
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https://github.com/f1scher7/ai-tutorial
Learning neural networks by building custom implementations for various problems
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https://github.com/culeshovi/cs229
Machine Learning
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https://github.com/gourab-sinha/instabot
This project is all about web scraping using Selenium, BeatifulSoup and Python Packages.
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Last synced: 06 Apr 2026
https://github.com/bytraembedded/Laptop-Price-Prediction-with-Machine-Learning
The Laptop Price Prediction with Machine Learning project provides a system to predict the price of laptops based on various features such as processor type, RAM size, storage capacity, and more/
airflow data data-science data-visualization fastapi heroku-deployment machine-learning-algorithms matplotlib-pyplot numpy pandas python reactjs seaborn
Last synced: 30 Dec 2025
https://github.com/florianwoelki/mnist_fashion_cnn
This is a classification problem based on the mnist fashion dataset. I've used a CNN to classify the images.
classifier cnn fashion keras mnist numpy pandas tensorflow
Last synced: 08 Apr 2026
https://github.com/mshirazkamran/swarm-intelligence-example
This repo shows the usage of PSO to sovle the problem the putting N warehouses in an MxN grid with various contraints such as army zones, residential areas
example matplotlib numpy optimization-algorithms particle-swarm-optimization pso pso-algorithm python3 swarm-intelligence
Last synced: 17 May 2026
https://github.com/ab23ms233/matrix-calculator
A Python-based matrix calculator for performing operations like addition, multiplication, inverse, determinant, eigenvalues, diagonalization, and matrix functions using NumPy, SymPy, and SciPy.
Last synced: 11 Aug 2025
https://github.com/nirmalyabag20/wine-quality-prediction-machine-learning
This project analyzes the chemical properties of wines to identify key factors influencing quality. By leveraging machine learning techniques, i aim to develop predictive models that accurately classify wine quality, providing valuable insights for producers and enthusiasts alike.
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Last synced: 09 Apr 2026
https://github.com/moeeinaali/fop2023-python-project-sut
Fundamental of Python Programming - Fall 2023 - Instructor: Mr. Malekzadeh
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https://github.com/yukti-09/linear-regression
A small code for understanding linear regression.
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Last synced: 17 May 2026
https://github.com/garcane/income-prediction-ml
This is a machine learning project aimed at predicting whether an individual's annual income exceeds $50,000 based on their demographic and personal information.
data data-science machine-learning ml numpy pandas python random-forest scikit-learn
Last synced: 08 Apr 2026