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/eesunmoon/aml_project
[Project] Analyzing Fitness Patterns & Building Predictive Models
matplotlib numpy pandas python3 recommender-system scikit-learn seaborn tensorflow
Last synced: 13 Apr 2026
https://github.com/pinedah/sleep-data-analysis-exercise
Análisis de un dataset médico sobre el sueño, explorando duración, calidad y factores relacionados. Incluye limpieza de datos, EDA y visualizaciones con Python (pandas, numpy, matplotlib, seaborn, scipy).
data-analysis data-science escom numpy pandas python school-project scipy
Last synced: 13 Apr 2026
https://github.com/tharushiimasha/python-practice
This repository contains Python programs and exercises from practice sessions. It covers Python basics, file handling, and libraries like NumPy and pandas for data manipulation.
api-integration csv-files file-handling json-files jupyter-notebook numpy oops-in-python pandas python web-scraping
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https://github.com/raghavendranhp/youtube_data_harvesting
The "YouTube Data Analyzer" is a versatile tool for businesses and content creators, enabling them to gather, analyze, and harness valuable insights from multiple YouTube channels. With streamlined data collection, storage in MongoDB, migration to SQL, and a user-friendly Streamlit interface, it empowers users to make data-driven decisions
apiintegration data datacollection eda googleapi googleapiclient matplotlib mongodb mysql mysqlconnector numpy oops pandas pymongo python pythonoops sql sqlalchemy streamlit youtube-api
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https://github.com/blairnangle/python3-numpy-ta-lib
Docker image with NumPy and TA-Lib installed. Built and uploaded to Docker Hub using GitHub Actions.
Last synced: 13 Apr 2026
https://github.com/debjyotisaha/data-analytics-projects-phase-1
A set of projects on Data Analysis using Python and its libraries
matplotlib numpy pandas python seaborn sklearn streamlit
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https://github.com/somyaaaaaa2004/travelling-sales-man-problem
This project is a soft computing-based solution to the Traveling Salesman Problem (TSP) using a Genetic Algorithm (GA), implemented entirely from scratch in Python on Google Colab. The goal of the TSP is to find the shortest possible route that visits each city exactly once and returns to the starting point. It's a classic NP-hard combinatorial
genetic-algorithm jupyter-notebook matplotlib-pyplot numpy pandas python travelling-salesman-problem
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https://github.com/prowilliam/maze_generator
A maze generator is created where you can modify its dimensions and shows a red route where it describes the solution of the maze, and it is exported in png format
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https://github.com/zvdy/movie_recommendation
Movie Recommendation Search Engine using Jupyter Notebooks, Pandas, Nnmpy, SciKit Learn, IPyWidgets
data-science jupyter-notebook machine-learning numpy pandas python scikit-learn
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https://github.com/paulo-santos-ds/machinelearninglogisticregression
A fraude de cartão de crédito é uma forma comum de fraude que afeta milhões de pessoas em todo o mundo. Essa fraude pode ter consequências graves, tanto para as vítimas quanto para as instituições financeiras que emitem os cartões de crédito.
math matplot numpy pandas python3 sklearn
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https://github.com/suresh-28/weather-forecasting-using-machine-learning
Weather Forecasting using machine Learning in python
csv-files jupyter-notebook machine-learning ml numpy pandas-dataframe prediction python
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https://github.com/ondiekelijah/shadowcoach-formtracker
A computer vision-based workout form tracking application that uses AI to monitor exercise form, count repetitions, and provide real-time feedback.
mediapipe-pose numpy opencv-python
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https://github.com/saifalibaig/covid-19-infection-rate-analysis-using-python
Analysis of Covid-19 Infection rate and the world happiness report to identify if there is any relationship between infection rate and happiness
data-analysis data-visualization jupyter-notebook numpy pandas python3 sns
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https://github.com/hari7261/playwithdata-python
This is one of the repository where I have put lot of data science and machine learning related questions on their solutions I hope you will find something better than some other platforms. Thank you Happy exploring
data-analysis data-science data-science-learning machienlearning matplotlib matplotlib-python ml numpy numpy-arrays numpy-library pandas pandas-dataframe pandas-library python python-script sklearn
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https://github.com/kecnry/nparray
High-Level Wrappers for Building and Manipulating Numpy Arrays
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https://github.com/tatmorenno/python_para_data_science
Python para Data Science Introdução à linguagem e Numpy 🌎💻
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https://github.com/chandkund/wine-quality-prediction
This project predicts wine quality based on physicochemical properties using machine learning models. By leveraging Random Forest Classifier, Logistic Regression, and SVM, the goal is to classify wines into quality categories and uncover the key factors that influence wine quality.
logistic-regression matplotlib numpy pandas-python random-forest-classifier svm-classifier
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https://github.com/n1k1f0rm/ml-predicts
Place where you can find in transparent way how ML algos works
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https://github.com/ivangael/image-toolbox-backend
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https://github.com/hanzdr/2d-3d-object-transformation
For my Linear Algebra Project Defense
matplotlib-python matrix numpy
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https://github.com/towaquimbayo/comp-4948
BCIT Computer Systems Technology (CST) - COMP 4948 (Predictive Machine Learning)
feature-selection keras matplotlib numpy pandas predictive-analytics predictive-modeling python pytorch regression scikit-learn sklearn statsmodels tensorflow
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https://github.com/iv4n-ga6l/Simple-Image-Segmentation
Simple implementation of image segmentation using the Watershed algorithm
imagesegmentation matplotlib numpy opencv python watershed-algorithm
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https://github.com/iv4n-ga6l/Crowd-move-simulation
Crowd move simulation in python
matplotlib numpy python simulation
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https://github.com/roaajadaa/car-price-prediction
Use different models to predict car prices using web scraping
beautifulsoup data-visualization loss-functions machine-learning machine-learning-algorithms numpy pandas pickel preprocessing python sklearn
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https://github.com/dummumounika/ecommerce-sales-categorization
This repository contains Python code for text classification and analysis of e-commerce sales data. The script processes textual descriptions of products and categorizes them into predefined categories using a Naive Bayes classifier. It also includes various analysis and visualization methods to explore the dataset.
machine-learning matplotlib-pyplot ntlk numpy pandas python scikit-learn
Last synced: 13 Apr 2026
https://github.com/sorabh-kapoor/face-recognition-attendance-system
The Facial Recognition System is an AI-powered application USING FLASK designed to detect and recognize faces with high accuracy. This system can be integrated into various applications, including security systems, attendance management, and identity verification.
flask flask-application knn ml numpy opencv pandas python scikit-learn
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https://github.com/dmarks84/coursework_project_nlp-with-nltk
Project for University of Michigan Applied Data Science Specialization -- Utilized NLTK library to process natural language, and then built several spelling recommenders for a list of misspelled words.
data-modeling databases dataframes eda nlp numpy pandas python reporting statistics text-mining visualization
Last synced: 13 Apr 2026
https://github.com/pramodyasahan/spaceship-titanic
This repository features a machine learning model designed to predict whether passengers of a space travel company are likely to be transported. The model employs CatBoostClassifier, a machine learning algorithm known for handling categorical data effectively.
machine-learning numpy pandas python scikit-learn
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https://github.com/shwetapardhi/assignment-05-multiple-linear-regression-2
Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t
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computer-vision data-processing keras-tensorflow machine-learning numpy sklearn tensorflow
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https://github.com/bropenguin847/python-learning
Learning Python for Scientific Programming. Intended for beginners with some knowledge of Python.
array-manipulations convolution jupyter matlab matplotlib-pyplot numpy pandas-python pep8 python python3 scientific-programming scipy spyder-ide vscode
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Cleaning, analysis and visualization on various datasets using Python and its various libraries via Jupyter Notebook
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https://github.com/sadegh15khedry/housing-prices-prediction-using-randomforest
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conda-environment jupyter-notebook kersa matplotlib numpy pandas python seaborn sklea supervised-learning tensorflow titanic-kaggle
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https://github.com/anuraganalog/navie-bayes
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https://github.com/paulo-freitas-junior/ifood-dev-week2023
Repositório sobre a Dev Week iFood sobre uso de Python e Inteligência Artificial para realização de cálculo de NPS ( Net Promoter Score ) e a utilização de IA para análise de sentimentos dos comentários usando tecnologia do ChatGPT-4.
bert chatgpt colab-notebook matplotlib nltk numpy pandas python textblob-sentiment-analysis
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https://github.com/enoobis/conwaygolg
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https://github.com/jcm-ai/robust-mlops-elevating-machine-learning-to-production-scale
This project aims to address the challenge faced by the Office of Foreign Labor Certification in managing a high volume of job certification applications for employers seeking to hire foreign workers in the United States. By leveraging ML models, this project seeks to streamline the process of shortlisting visa applicants based on historical data.
aws-ec2 aws-ecr aws-s3 cicd-pipeline data-science docker-image end-to-end exploratory-data-analysis git github-actions html machine-learning-models mlops mlops-project model-deployment mongodb numpy pandas python yaml
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https://github.com/niel0503/probabilidade-e-amostragem
Desafio desarrollado para el bootcamp de WoMakersCode
estadistica matplotlib numpy pandas stats
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https://github.com/moonshallow5/solar-system-simulation
A solar system simulation using the Beeman scheme and the Euler method
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https://github.com/rishabhmathur06/pytorch
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neural-network numpy pandas python pytorch sklearn
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https://github.com/geetu040/fetcher
AI GAME: We have a random maze and 2 agents at random places. You control the Fetcher and find the way through the maze to get ot the target. You can automate the Fetcher to use trained models that help Fetcher fetch the target by itself. The models are based on deep neural networks, implemented by tensorflow and Keras API. The models are so efficiently trained, they find ways through the maze without hitting the walls and have an accuracy of more than 99%
artificial-intelligence css deep-learning html javascript jupyter-notebook machine-learning matplotlib neural-networks numpy python sklearn tensorflow web-design
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https://github.com/dharma-acha/imageclassification
This project is an interactive Streamlit web application using the VGG-13 model to classify images from the CIFAR-10 dataset. Users can upload images to receive real-time predictions and visual explanations of the model's decisions. The goal is to accurately classify images into one of the ten CIFAR-10 classes: airplanes, automobiles, birds, cats,
colab-notebook matplotlib numpy pandas python3 pytorch scikit-learn seaborn streamlit
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https://github.com/karthikmprakash/karthikmprakash
Karthik's Portfolio
bs4 data-analysis data-science keras machine-learning numpy pandas portfolio python selenium skills streamlit
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https://github.com/lesiaukr/mathematic_for_cs_colab_hw
Master's degree | HW | Mathematics for Computer Science course | Homeworks
goit google-colab home-works latex linear-algebra mathematics-for-computerscience matrices numpy python vectors
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https://github.com/ahmedabdalkreem/healty-care
The Complete project using neural network to arrive the best healt know he is stoke or not.
matplotlib neural-network numpy pandas python3 sklearn-library
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coursework image-processing introduction jupyter-notebook matplotlib notebook numpy python scikit-image scipy
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https://github.com/mmerlyn/analysis-of-tomato-prices
Forecasting tomato prices in Karnataka using machine learning to help farmers make better crop planning and selling decisions.
css flask html matplotlib numpy pandas python scikit-learn seaborn
Last synced: 06 Jul 2025
https://github.com/aiwithqasim/ab-testing-for-shoefly.com
In this project, I had analyzed the data set of SHOEFLY.COM to find out valuable insights to check which platform is more useful for advertisement.
Last synced: 13 Apr 2026
https://github.com/mooseburger1/plotting-and-analyzing-weather-trends-gis-temp-data-
Plotting and Analyzing GIS Temperature Data from 1880 to Present
data-science data-visualization matplotlib numpy pandas-dataframe python-3
Last synced: 13 Apr 2026
https://github.com/lupin3000/augmentedreality
Introduction into augmented reality (AR) with Python OpenCV ArUco markers.
aruco aruco-marker camera-calibration marker-detection numpy opencv pose-estimation python
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https://github.com/gyselle-marques/face-detection
Machine Learning: Face Detection System created using OpenCV.
colab-notebook face-classification face-detection machine-learning numpy open-cv-face-detection opencv opencv-python python
Last synced: 13 Apr 2026
https://github.com/lingesh81051/similar-template-document-matching-and-fraud-detection
An automated system for a health insurance company to streamline document processing, including template matching and fraud detection, resulting in reduction of processing time.
numpy opencv opencv-python pillow pymupdf pytesseract pytesseract-ocr python tkinter
Last synced: 13 Apr 2026
https://github.com/ola-kaznowska/numpy-matrix-arrays
Practice working with the NumPy library and multiple arrays. Copy() and view() functions
Last synced: 18 Apr 2026
https://github.com/adithaker/basic_nlp
🖨 Basic Data Viz; Sentiment Analysis and Cosine Similarity for starting NLP
cosine-similarity datavisualization jupyter-notebook matplotlib-pyplot nlp numpy pandas python sentiment-analysis sklearn textsimilarity wordembeddings
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https://github.com/patex1987/ghcn-temperature-dataset
Analysis of GHCN (Global Historical Climatology Network) temperature dataset using Numpy
climate-data jupyter-notebook numpy python temperature-data
Last synced: 10 May 2026
https://github.com/soumyapro/hand-tracking-volume-controller
This project leverages computer vision and machine learning to interpret hand gestures and movements, enabling interaction with volume device of your pc without the need for physical controllers.
mediapipe numpy opencv-python pycaw time
Last synced: 13 Apr 2026
https://github.com/18mahi/digital_cave
An intermediate-level deep learning project that compares Convolutional Neural Networks (CNN) and Multi-Layer Perceptrons (MLP) on the MNIST handwritten digits dataset. This project demonstrates data augmentation, learning rate scheduling, and visual comparison of model performance
cnn confusion-matrix data-augmentation data-science deep-learning evaluation-metrics jupyter-notebook keras learning-rate-scheduler machine-learning matplotlib mlp numpy python3 scikit-learn seaborn tensorflow
Last synced: 13 Apr 2026
https://github.com/pranavsp108/time-series-forcasting
A time-series forecasting project to predict hourly energy consumption using Python, Pandas, and an XGBoost regression model.
data-analysis data-science energy-consumption forecasting matplotlib numpy pandas python scikit-learn sustainability time-series xgboost
Last synced: 10 Apr 2026
https://github.com/ahmadbuilds/fake-news-classifier
Classifies news articles as real or fake using an NLP pipeline with TF-IDF + n-grams and machine learning models. Includes text preprocessing, feature engineering, model training, and evaluation.
fastapi logistic-regression matplotlib n-grams nextjs nltk numpy pandas python3 random-forest-classifier react scikit-learn seaborn supervised-learning tf-idf typescript xgboost-classifier
Last synced: 11 Apr 2026
https://github.com/elvisrock/government_analysis
Esse projeto, tem como objetivo, analisar, explorar algumas técnicas e propor uma sugestão ao governo de forma geral, sem qualquer viés politico.
data-science machine-learning numpy pandas python sklearn
Last synced: 05 Apr 2026
https://github.com/dibsthegreat/titantic-dataset-analytics
DASC4850 Final Project where I did EDA to determine the survivability of Titanic guests depending on Age, Gender, Wealth, etc.
data-science data-visualization matplotlib numpy pandas python random-forest-classifier
Last synced: 13 Apr 2026
https://github.com/farhad-here/height-distribution-analysis
Statistical comparison of height distributions in two groups using mean, standard deviation, and boxplots.
coefficient-of-variation data-analysis interquartile-ranges matplotlib mean numpy python scipy standard-deviation variance
Last synced: 13 Apr 2026
https://github.com/swatisinghit/treadmill-customer-profiling-for-aerofit
Create comprehensive customer profiles for each AeroFit treadmill product through descriptive analytics. Develop two-way contingency tables and analyze conditional and marginal probabilities to discern customer characteristics, facilitating improved product recommendations and informed business decisions.
analytics conditional-probability data-analysis data-science data-visualization eda numpy pandas probability statistics
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https://github.com/ejw-data/python-bitwise-operators
Difference between bitwise and logical operators when using pandas
Last synced: 08 May 2026
https://github.com/isratafrin826/linear-regression-model
Linear Regression is a statistical method used to model the relationship between a dependent variable (target) and one or more independent variables (features) by fitting a straight line (regression line) to the data. It predicts the target value based on the linear relationship and is commonly used for forecasting and trend analysis.
googlecolaboratory numpy pandas sklearn
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https://github.com/zolppy/recommendation-system
This project demonstrates the creation of a content-based image recommendation system. It leverages a pre-trained VGG16 deep learning model to extract meaningful feature vectors from images. These features are then compared using cosine similarity to identify and recommend visually similar images.
computer-vision deep-learning keras machine-learning numpy recommendation-system sklearn tensorflow vgg16
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https://github.com/ricardorobledo/malicious_server_hack_detection
Predictive model to detect malicious hacking patterns in banking servers. Utilizes advanced Machine Learning techniques such as SMOTE, Gradient Boosting, and probability calibration to predict attacks befor
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https://github.com/miladsade96/scwp
Scientific Computing with Python
graphs linear-algebra linear-equations matrices multidimensional-arrays numerical-computation numpy python python3 scientific-computing scipy sparse-matrices vector
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https://github.com/ben854719/autonomous-health-monitoring-emergency-response
This app uses Bluetooth to link a worker’s smartphone with a supervisor’s laptop for live health monitoring. PySyft handles secure biometric authentication, while machine learning detects injuries and visualizes them on a dashboard. Agentic AI responds to critical events by triggering emergency protocols and contacting 911 with location data.
agentic-ai bluetooth cryptography cybersecurity error-handling gemini langgraph machine-learning-algorithms matplotlib mcpserver nltk numpy pysyft python pytorch socket tcp tenseal
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https://github.com/khushneetsingh/datasanity
DataSanity is a AI-powered web application for dataset cleaning, synthetic data generation, vectorization, and data enrichment using natural language prompts.
cerebrus exa faiss-vector-database llm nextjs numpy pandas serperdev sqlite tailwindcss
Last synced: 08 Apr 2026
https://github.com/manjotkaurgill/agritech
Enter details of your soil and weather, and find best suitable crop for farming. With our advanced AI system, you can make informed decisions and optimize your agricultural practices.
flask generative-ai insight-generation machine-learning matplotlib mongodb nextjs numpy pandas python scikit-learn seaborn
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https://github.com/chandkund/stock-price-prediction-
Predict Tesla stock prices using historical data. The project preprocesses data, applies normalization and standardization, trains a linear regression model, and evaluates its performance. Visualizations include box plots and time series plots.
data-science linear-regression numpy pandas plotly python sklearn sklearn-model
Last synced: 21 Jan 2026
https://github.com/davityak03/object-detection-in-images-using-yolo
This project demonstrates object detection using the YOLO (You Only Look Once) model, providing a solution for detecting and labeling multiple objects within images or video streams. This implementation covers image preprocessing, model inference, and visualization of detected objects.
computer-vision matplotlib-pyplot numpy object-detection opencv-python pandas python yolo
Last synced: 18 Jan 2026
https://github.com/eiichiroito/numpharo
NumPy like tools for Pharo Smalltalk
matplotlib-pyplot numpy pharo pharo-smalltalk smalltalk
Last synced: 18 Jan 2026
https://github.com/piyushxbhardwaj/credit-card-fraud-detection
In this project, we focus on developing a machine learning model to detect fraudulent transactions within credit card data. Credit card fraud poses a significant challenge to financial institutions and consumers globally, with traditional rule-based detection systems often struggling to adapt to new fraud tactics.
matplotlib numpy pandas python scikit-image seaborn
Last synced: 16 Feb 2026
https://github.com/rachakondaganesh/superstore-sales-data-analysis-project
Analyzed retail sales data to uncover key business insights using Python and Power BI. Explored patterns in profit, sales, and customer segments across regions. Built interactive dashboards to visualize trends, identify top-performing categories, and highlight areas for improvement in shipping and discount strategies.
dashboard exploratory-data-analysis matplotlib-pyplot numpy pandas powerbi seaborn
Last synced: 02 May 2026
https://github.com/hmotez/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.
healthcare jest-tests mern-stack mongodb nodejs nosql numpy pytorch react scikit-learn tailwindcss
Last synced: 12 Apr 2026
https://github.com/samuelpuerta/modelosiasaberprocolombia
PROYECTO KAGGLE - Crear un modelo para predecir el redimiento de los estudiantes en las pruebas Saber Pro
ai ia jupyter-notebook machine-learning numpy pandas prediction-model predictive-modeling python
Last synced: 06 May 2026
https://github.com/yappy2000d/pps-ndarray
Multi-dimensional array implementation
Last synced: 18 Jan 2026
https://github.com/yeisson8a/tallerdataanalysis
Taller de Data Analysis utilizando Python y las librerías Pandas, NumPy, Seaborn, Matplotlib para manipulación de datos de un archivo, así como la librería Statsmodels para regresiones lineales.
analisis-de-datos linear-regression matplotlib numpy pandas python3 seaborn statsmodels
Last synced: 14 Apr 2026
https://github.com/netbr3ak/planetary-system-simulation
Planetary System Simulation enables users to simulate the trajectories of two planets in a gravitational system. Through a simple web interface, users can predict planetary movements using technologies such as Flask, NumPy, and SciPy.
astronomy flask gravitational-dynamics numerical-analysis numpy physics planetary-systems scipy simulation web-application
Last synced: 14 Apr 2026
https://github.com/winterwind/mlp_and_cnn
A short two-part project involving using an MLP and a CNN for ECG signal data
cnn convolutional-neural-network csv-files jupyter jupyter-notebook mlp neur numpy python pytorch
Last synced: 14 Apr 2026
https://github.com/naveen88112/vehicle-routing-problem
Vehicle Routing Problem (VRP) Solver This project applies a Genetic Algorithm (GA) to optimize the Vehicle Routing Problem (VRP). This is done for more than one vehicle to ensure delivery routes that save travel distance and increase efficiency.
deap genetic-algorithm matplotlib numpy python vehicle-routing-problem
Last synced: 13 Apr 2026
https://github.com/dmarks84/coursework_project_image-text-recognition
Project for University of Michigan Python Programming Specialization -- Read in documents with images and text, and utilized CV libraries/packages to extract specific types of images and text, pairing them together
classification computer-vision image-classification numpy pandas programming python text-classification
Last synced: 14 Apr 2026
https://github.com/vishalgaud17/stroke
A simple Streamlit web app that predicts stroke risk based on user input features like age, BMI, glucose level, and lifestyle factors, using a pre-trained machine learning model.
machine-learning numpy pandas python scikit-learn streamlit
Last synced: 14 Apr 2026
https://github.com/shoaib1522/introduction-to-data-science
Unlock the world of data science with hands-on tutorials, interactive notebooks, and essential resources! Whether you're a beginner or looking to refine your skills, this repo offers a comprehensive guide to mastering Python, Git, NumPy, Pandas, and more—empowering you to analyze, visualize, and transform data like a pro! 🚀📊💻
confusion-matrix github-config kaggle matplotlib numpy pandas python3 script visualization
Last synced: 14 Apr 2026
https://github.com/rakesh3596/apple-phone-sales-analysis
Apple Phone Sales Analysis using Python tools like Pandas, Matplotlib, Numpy, Plotly, Apple csv file
csv-files csv-reader matplotlib numpy pandas plotly python
Last synced: 14 Apr 2026
https://github.com/thekartikeyamishra/colorextractor
A Python-based project that extracts the dominant colors from an image using the KMeans clustering algorithm. This project is useful for applications like image processing, color palette generation, or analyzing the most prominent colors in images.
kmeans-clustering matplotlib matplotlib-pyplot numpy p pillow python sklearn
Last synced: 05 May 2026
https://github.com/gopikrsmscs/mycinepick-recommendation-system
MyCinePick is a user-specific movie recommendation system built using collaborative filtering techniques. This project aims to provide personalized movie suggestions tailored to each user's unique viewing preferences and habits.
collaborative-filtering movie-recommendation-app numpy python3 recommendation-system sklearn streamlit
Last synced: 14 Apr 2026
https://github.com/adi3042/diamond_price_prediction
🔮💎 Explore the Diamond Price Oracle! Predicting diamond values based on your preferences and market trends. Your ultimate tool for informed decisions in the diamond world. Join us for the future of pricing! 💎✨🚀 #DiamondPredictor
anaconda datetime diamond flask functools html ipykernel jupyter-notebook matplotlib numpy pandas price-prediction readme regressor sckiit-learn setuptools venv
Last synced: 14 Apr 2026
https://github.com/pedrolustosa/energyforecasting
This project offers a complete solution for solar energy generation analysis and forecasting, using different machine learning models and a modern, intuitive web interface.
artificial-intelligence axios bootstrap5 chartjs css data-science fastapi fontawesome html5 numpy pandas python r react react-bootstrap rpy2 sklearn spinner toastr typescript
Last synced: 04 Apr 2026
https://github.com/psgebeline/b2_plotter
A simple Python package for use by Belle II analysts to make various plots out of pandas dataframes and numpy arrays.
jupyter-notebook matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python uproot visualization-tools
Last synced: 19 Jan 2026
https://github.com/venkat-a/python-eda-exploratory-data-analysis-
This project focuses on conducting exploratory data analysis (EDA) using Python. Utilizing powerful libraries such as Pandas for data manipulation and Plotly for interactive visualization, the project aims to uncover insights from datasets through comprehensive analysis and visualization techniques.
descriptive-statistics matplotlib numpy pandas seaborn statistical-analysis visualization
Last synced: 07 May 2026
https://github.com/salma-mamdoh/the-android-app-market-on-google-play-project
My project aims to practice Data Analysis and Data Visualization on DataCamp
data-analysis data-visualization datacamp jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/saylie/cat-dog-classifier-
The Cat-Dog Classifier is a deep learning-based image classification project that can differentiate between images of cats and dogs. It uses a Convolutional Neural Network (CNN) model trained on labeled datasets to predict whether a given image belongs to a cat or a dog.
ai javascript keras numpy opencv python react tensorflow
Last synced: 14 Apr 2026