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/arsh-pixel-cmd/ai-image-classifier
AI Image Classifier is a web app that uses AI and deep learning to classify images in real-time. Built with Streamlit, TensorFlow (MobileNetV2), OpenCV, and NumPy, it allows users to upload single or multiple images and get the top-3 predictions with confidence scores instantly in the browser.
docker numpy opencv python3 streamlit tensorflow2 uv
Last synced: 10 Apr 2026
https://github.com/dipto9999/ml_introduction
An Introduction to Machine Learning, primarily using Python scikit-learn library.
data-science decision-trees jupyter-notebook k-means-clustering k-nearest-neighbors linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas principal-component-analysis python random-forest scikit-learn seaborn support-vector-machines
Last synced: 10 Apr 2026
https://github.com/anuppm9917/super-store-sales-analysis-power-bi-project
My drive to know which products, regions, categories and customer segments a company should target or avoid, I search and selected an appropriate dataset on kaggle which will match a standard superstore requirement.
data data-analysis data-visualization datacleansing excel exploratory-data-analysis jupyter-notebook numpy pandas plotly powerbi python3
Last synced: 10 Apr 2026
https://github.com/jonad/chicago_crime_analysis
Exploratory data analysis on Chicago Crime dataset.
jupyter-notebook matplotlib numpy pandas python3
Last synced: 07 May 2026
https://github.com/farhannirzhor/python_eda_project_on_diwali_sales_analysis
In this project, I was given a sales data. I analyzed their sales data and shared a summary
data-cleaning data-manipulation exploratory-data-analysis matplotlib numpy pandas python seaborn
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https://github.com/s-hirata0831/graphicsprocessing
Pythonによる画像処理基礎実験(with OpenCV)
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https://github.com/chandkund/housing-price-prediction
Predict housing prices using the Boston Housing Dataset. Covers data loading, cleaning, preprocessing, EDA, normalization, standardization, and regression models (Linear Regression, Decision Tree, Random Forest, Extra Trees). Evaluated with Mean Squared Error (MSE). Tech: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.
data-science data-visualization matplotlib numpy pandas pyhton sklearn sklearn-library sklearn-metrics
Last synced: 21 Jan 2026
https://github.com/allanotieno254/pneumonia-xray-classification
This project is a Deep Learning-based Pneumonia classification system that allows medical staff to upload chest X-ray images and quickly determine whether a patient shows signs of pneumonia.
keras machine-learning numpy pandas pil pillow python streamlit streamlit-webapp
Last synced: 10 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
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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
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https://github.com/lorenzorottigni/ml-ecommerce
Machine Learning python bootcamp: linear regression on ecommerce dataset
ipynb linear-regression machine-learning numpy pandas python scikit-learn seaborn
Last synced: 07 Apr 2026
https://github.com/the-developer-306/neural-style-transfer
Neural Style Transfer project leveraging TensorFlow and VGG19 to blend artistic styles with content images. Features include style and content initialization, multi-layer feature extraction, total variation loss, and post-processing enhancements like sharpening, upscaling, and brightening.
deep-learning image-processing neural-style-transfer numpy opencv-python post-processing tensorflow transfer-learning vgg19
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https://github.com/priyanshulathi/air-quality-index-prediction
Machine learning based air quality index prediction using environmental and pollutant data to classify and forecast pollution levels.
machine-learning matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/massimilianovisintainer/rock-vs-mine-prediction
Rock vs. Mine classification using Logistic Regression
machine-learning model numpy pandas sklearn
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https://github.com/sweta2501/ml
Consist of ML projects based on Python along with DataSheets
machine-learning matplotlib-pyplot numpy pandas python seaborn sklearn sklearn-model
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https://github.com/lorenzorottigni/ml-breast-cancer
Machine Learning python bootcamp: Support Vector Machines using breast cancer dataset
ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines
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https://github.com/ralfkeo/detection-de-faux-billets-avec-python
OpenClassrooms parcours Data Analyst Projet 12
matplotlib-pyplot numpy pandas pickle plotly prediction-model python scipy seaborn sklearn
Last synced: 10 Apr 2026
https://github.com/lorenzorottigni/ml-kyphosis
Machine Learning python bootcamp: decision trees & random forest on kyphosis dataset
decision-trees ipynb machine-learning numpy pandas python random-forest seaborn
Last synced: 14 Apr 2026
https://github.com/RedInfinityPro/PygameCicruit
Rating: (6/10) The code combines a Pygame GUI application with a PySpice circuit simulation, providing a user-friendly interface with buttons, menu options, dropdown menus, input boxes, sliders, and text elements.
matplotlib numpy os pygame pyspice random sys
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https://github.com/abideen-olawuwo/converted-logistic-regression
Converted Prediction Model
logistic-regression numpy pandas sklearn
Last synced: 10 Apr 2026
https://github.com/ayodimeji1/ai_clustering
artificial-intelligence clustering-algorithm machine-learning numpy pandas seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/aravinda-1402/covid-detection-model-using-chest-x-ray
The objective of this project is to develop a Deep Learning Model to identify the X-Rays of healthy vs. Pneumonia (Corona) afflicted patients using the Chest X-Ray dataset, and use this model to power the AI application to test the Corona Virus in a faster phase.
classification cnn covid flask keras numpy pandas tensorflow
Last synced: 09 Apr 2026
https://github.com/jeffson-dsilva/smartphone-price-prediction
Smartphone Price Prediction is a machine learning project that predicts the price category of a smartphone based on its features. This project provides insights into how various specifications, such as RAM, battery capacity, and processor speed, influence the pricing of smartphones.
dataanalysis machine-learning matplotlib modelbuilding numpy pandas price-prediction python seaborn smartphone
Last synced: 14 Apr 2026
https://github.com/gautamthampy/color-detection
Provides colour names and HTML/RGB mappings in various output formats.
Last synced: 10 Apr 2026
https://github.com/sayidmushtaq/reportcard
Tracking and analyzing student grades. It calculates averages, identifies top performers, and generates performance reports with ease.👨🏼🎓👨🏼🎓
begginer-project numpy reporting-tool
Last synced: 27 Jan 2026
https://github.com/jlmsc/gaussian-elimination
Python implementation of the Gaussian Elimination method for solving systems of linear equations.
algorithms back-substitution educational gaussian-elimination linear-algebra linear-systems math matrix numerical-methods numpy pysimplegui python row-echelon-form scientific-computing sympy
Last synced: 31 May 2026
https://github.com/angelarreola/ai_notes
Notas de la materia "Inteligencia Artificial" para su posterior extraccion mediante algun modelo de lenguaje que nos permita dar respuestas personalizadas con base a la informacion presente en este repositorio.
ai matplotlib numpy pandas phaserjs python scikit-learn
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https://github.com/paulo-santos-ds/previsao_total_corridas_taxi
Foi desenvolvido um modelo preditivo específico para atrair mais motoristas durante o horário de pico. Prever a quantidade de pedidos de táxi para a próxima hora.
matplotlib-pyplot numpy pandas python seaborn sklearn statsmodels
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https://github.com/semanurbilada/chatbot
Developing ChatBot [ open source ]
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https://github.com/sarincr/training-on-artificial-intelligence
Entree Academy 10 Days free training on Artificial Intelligence. Course will be conducted in a Blended learning way with Daily one hour online training and 3 hour project based training
artificial-intelligence artificial-intelligence-algorithms data-analysis data-science data-visualization decision-trees deep-learning deeplearning logistic-regression machine-learning machine-learning-algorithms machinelearning num numpy pandas regression scikit-learn scipy sklearn
Last synced: 10 Apr 2026
https://github.com/szymon-budziak/real_estate_house_prices_prediction
Predicting real estate house prices using various machine learning algorithms, including data exploration, preprocessing, model training, and evaluation.
data-analysis data-preprocessing data-science eda jupyter-notebook machine-learning matplotlib numpy optuna pandas predictive-modeling price-prediction python random-forest regression scikit-learn seaborn
Last synced: 21 Jan 2026
https://github.com/bharath-tars/deeptumor
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https://github.com/lorenzorottigni/ml-iris-svm
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https://github.com/celineboutinon/la-faim-dans-le-monde
OpenClassrooms Data Analyst 2022-2023 - Projet 4
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Last synced: 20 Jul 2025
https://github.com/ayorick23/python-data-science-cheat-sheet
Guía rápida y práctica de sintaxis, comandos y funciones esenciales de Python para Ciencia de Datos. Perfecta para recordar cómo usar las librerías más comunes como NumPy, Pandas, Matplotlib y Scikit-learn en tus análisis diarios.
cheat-sheet data-analysis data-science data-visualization deep-learning jupyter-notebook machine-learning matplotlib ml numpy pandas python scikit-learn scipy seaborn statistics sympy tensorflow
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https://github.com/salvatoreamaddio/powerbi
This project combines both Python and PowerBI technologies. It cleans a dataset and imports it into a PowerBI file.
numpy pandas pandas-python powerbi python
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https://github.com/ahmedabdalkreem/machine_learning_with_cv
In this project work to extraction feature from shapes to be input of machine learning model.
chaincode computer-vision contour-detection feature-extraction machine-learning matplotlib numpy open-cv pandas python sklearn svc-model
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https://github.com/hoyirul/flask-starter-fs
Flask-Starter-FS is a concise full-stack starter kit for Flask web development, offering quick setup and pre-configured settings for seamless integration of front-end and back-end components. Accelerate your full-stack web application development with Flask-Starter-FS.
flask machine-learning numpy pandas python sklearn
Last synced: 14 Apr 2026
https://github.com/kostadinlambov/algorithmic-trading-bot
The project aims to evaluate the predictive performance of different machine learning (ML) algorithms for Bitcoin trading. The proposed trading strategy integrates key technical indicators, including the Relative Strength Index (RSI), Simple and Exponential Moving Averages, and the Moving Average Convergence Divergence (MACD).
lightgbm machine-learning matplotlib mlflow numpy optuna pandas pickle random-forest scikit-learn scipy seaborn statsmodels xgboost
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https://github.com/aqueeqazam/student-placements-using-machine-learning-and-flask
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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https://github.com/screamman-ssh/video-camera-to-ascii
Convert a video file or camera captured to display as text.
ascii camera-to-text computer numpy opencv pillow python python-3 video-to-text
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https://github.com/ayushpatel2026/stock_predictor
Neural Networks to Predict Stock Prices
data-science flask-api machine-learning neural-network numpy python pytorch
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https://github.com/al-ghaly/stock-market-simulation
Simulate and visualize stock market behavior
matplotlib numpy python python-visualization
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https://github.com/sujal2004/stock-analysis-project
Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.
jupyter-notebook matplotlib numpy pandas python stock-market
Last synced: 10 Apr 2026
https://github.com/architj6/gesture-volume-control
Easily control your system volume with simple hand gestures! This project leverages OpenCV, MediaPipe, and Pycaw to track hand movements and adjust the system volume dynamically. Say goodbye to keyboard shortcuts and volume buttons—just move your hand to set the volume!
handgesture mediapipe numpy opencv os pycaw python python3 volume-control
Last synced: 03 May 2026
https://github.com/yulia-momotyuk/dla-data-analysis-practice
This repository contains my homework assignments completed during the "Data Analyst in IT" course at Data Loves Academy.
analytics data-analysis data-visualization excel mysql numpy pandas postgres powerbi python seaborn sql tableau
Last synced: 14 Apr 2026
https://github.com/icepanorama/internship-visualizations-and-demonstrations
A collection of some of the programs that I've written over the course of my internship.
artificial-intelligence machine-learning matplotlib numpy pandas python3 pytorch scikit-learn
Last synced: 14 Apr 2026
https://github.com/teslaproduuction/data_analiz_al
Прогнозирование курса алюминия с использованием модели ARIMAX
arimax csv django html-css-javascript numpy pandas python rss scipy sklearn sqlite yfinance-library
Last synced: 10 Apr 2026
https://github.com/ebadshabbir/bluff-detection-model-polynomial_regression-
This project predicts employee salaries based on position levels using Linear and Polynomial Regression models. It trains models with degrees 2, 3, and 4 on a dataset of job titles, position levels, and salaries, and predicts the salary for a position level of 6.5. The results are visualized to compare model performance.
jupyter-notebook linear-regression machine-learning matplotlib-pyplot multiple-linear-regression numpy polynomial-regression python
Last synced: 07 May 2026
https://github.com/bhuvantenguria/adobe-gensolve
Adobe-Gensolve
cv2 dotenv firebase-admin flask numpy pandas python react svgpathtools svgwrite
Last synced: 23 Jan 2026
https://github.com/hasnainroopawalla/sudoku-generator
This algorithm can generate and solve a random Sudoku Puzzle Board using Backtracking
backtracking numpy python sudoku-generator
Last synced: 16 May 2026
https://github.com/nirmit27/credit-risk-modeling
Classification and regression models for predicting the level of risk associated with extending credit to a borrower and the basic EPS amount respectively.
credit-risk credit-risk-analysis machine-learning ml ml-model ml-models modelling numpy pandas python python3 sckiit-learn
Last synced: 29 Apr 2026
https://github.com/chirindaopensource/search_benford_law_compatibility
End-to-End Python scalable forensic accounting toolkit implementing Benford's Law analysis for FTSE financial data. Delivers automated anomaly detection with Chi-Squared/MAD testing, comprehensive validation pipelines, and risk-based prioritization of investigative resources. Replicates Ausloos et al.'s (2025) methodology with full reproducibility.
academic-research anomaly-detection benfords-law chi-squared-test data-validation econometrics financial-analysis financial-data forensic-accounting fraud-detection ftse goodness-of-fit jupyter-notebook numpy pandas python reproducible-research risk-management scipy statistical-testing
Last synced: 12 Apr 2026
https://github.com/vrush9840/emotion-detection-from-tweets-using-dl
Emotion detection from tweets using Deep Learning (LSTM & BERT) to classify emotions such as Positive, Negative, Neutral, and Irrelevant with emoji recommendations.
glove-embeddings lstm matplotlib nltk numpy pandas python seaborn shap tensorflow
Last synced: 10 Apr 2026
https://github.com/jhonatanthiago/projeto_analise_de_dados_com_python
A empresa contratou você para analisar dados de mais de 800 mil clientes, a maioria dos quais são inativos, ou seja, já cancelaram o serviço. O objetivo é entender os principais motivos desses cancelamentos e identificar as ações mais eficazes para reduzir esse número.
jupyter-notebook nbformat numpy openxyl pandas plotly python
Last synced: 10 Apr 2026
https://github.com/yessasvini23/pytorch-bootcamp-on-ai-by-opencv
This OpenCV course is highly recommended for individuals seeking an introductory experience in Computer Vision and AI, and who wish to establish a strong foundation for their career development.
cnn-classification computer-vision cv2-library deeplearning-ai numpy opencv pytorch rnn-tensorflow
Last synced: 13 Apr 2026
https://github.com/quickheaven/scs-3251-statistics-for-data-science
Repository dedicated to Term Project of UofT Statistics for Data Science Course
data-science jupyter-notebook logistic-regression numpy pandas python
Last synced: 10 Apr 2026
https://github.com/luliatuccu/weather_analysis
This project highlights a combination of data science techniques and Python programming to explore real-world weather data.
data-preprocessing eda feature-engineering machine-learning matplotlib numpy pandas regex scikit-learn seab seaborn weather weather-patterns
Last synced: 02 Apr 2026
https://github.com/ifimust/room_generator
Room generator service for 2D game levels
flask google-app-engine microservice numpy procedural-generation python
Last synced: 07 May 2026
https://github.com/shreshthvashisht/bank-loan-case-study
Risk Analytics using Python
data-cleaning data-imputation data-normalization data-standardization exploratory-data-analysis jupyter-notebook loan-analytics loan-default-prediction matplotlib-pyplot numpy pandas python-data-analysis python-data-science risk-analysis seaborn-plots
Last synced: 07 May 2026
https://github.com/tugot17/neural-network-from-scratch
Simple neural network implemented from scratch using numpy package
from-scratch neural-network numpy python
Last synced: 26 Oct 2025
https://github.com/sasivakulrithwik/059_iva_assignment-1
Image processing and object detection using OpenCV, including color detection, smoothing, edge detection, and face detection with Haar cascades. 🚀
ipython-notebook numpy opencv python3
Last synced: 10 Apr 2026
https://github.com/gusenov/max-empty-rect-py
:black_square_button: Реализация на Питоне алгоритма поиска на изображении пустого прямоугольника максимальной площади.
algorithm empty-spot graphics numpy python python-image-library python-library rectangle-detection
Last synced: 06 Feb 2026
https://github.com/zenithclown/agine
Library for finding Nearest Neighbor or to find if two points on Earth have a Direct Line of Sight.
bearing bearing-calculations distance-calculation euclidean-distance geometry haversine manhattan-distance nearest-neighbor-search numpy pandas rasterio shapely
Last synced: 28 Jan 2026
https://github.com/hemanthsaikumarbethapudi/last-mile_delivery_optimization.py-
This project implements an AI-powered last-mile delivery optimization system using Python. It leverages graph-based route optimization, demand prediction, and cost analysis to improve delivery efficiency in urban areas.
Last synced: 27 Aug 2025
https://github.com/lavkalsi/creditcardfrauddetector
Credit Card Fraud Detector is a React web app that predicts if a credit card transaction is fraudulent using a Python machine learning model. Users can input transaction data, and Flask facilitates communication between the backend and frontend. Backend files are located in the res folder. This app provides simple UI for user interaction.
fraud-detection machine-learning nodejs numpy pandas python reactjs sklearn-library
Last synced: 15 Apr 2026
https://github.com/alejandro945/insurance-risk
This project aims to predict the risk of insurance claims using a dataset from Kaggle. The dataset consists of 26 columns and 205 rows, providing various features related to insurance risk. By analyzing this data, we seek to build predictive models that can help insurers assess the risk of claims.
data-analytics ipython-notebook numpy pandas python
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https://github.com/djdhairya/parkinson-s-disease-detection
datapreprocessing machine-learning modeling numpy pandas scikit-learn svm
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https://github.com/shwetapardhi/assignment-03-q5--hypothesis-testing
Chi2 contengency independence test Q5. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis. Assume Null Hypothesis as Ho: Independence of categorical variables (% of
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https://github.com/mihirh19/uber-analysis
Uber's 2016 dataset analysis offers insightful information about the company's operations and user behaviour. Patterns and trends can be discovered by looking at variables like trip time, distance travelled, and pickup/drop-off locations. Uber may use this information to detect high-demand locations, increase overall efficiency, and optimise driver
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https://github.com/skywalkersam/python-101
Introduction to Python 3
bootcamp django flask jupyter-notebook matplotlib ml numpy pandas python-bootcamp python-development python-scripting python3 web-scraping
Last synced: 25 Dec 2025
https://github.com/jeniljani-4444/end-to-end-car-price-prediction-model
Predict car prices effortlessly using this machine learning model. Built with Python and Scikit-learn it analyzes features like mileage age brand and more to estimate accurate prices. Perfect for buyers sellers and dealerships.
machine-learning matplotlib numpy pandas python scikit-learn seaborn streamlit
Last synced: 10 Apr 2026
https://github.com/deepankkartikey/ml-projects
A repository of projects done while learning and exploring ML
classification csv machine-learning numpy pandas regression sklearn
Last synced: 15 Apr 2026
https://github.com/jimmymugendi/bulding-a-decision-tree-to-predict-customer-churn
This repo desribes bulding a decision tree to predict customer churn in a given organisation
accuracy-score decision-tree-classifier matplotlib-pyplot numpy pandas-dataframe scikit-learn
Last synced: 07 May 2026
https://github.com/arnie1x/massive-dataset-lab
This project involves basic data manipulation with JSON files, focusing on tasks related to data processing of the MASSive dataset and file management.
data-science numpy pandas pandas-dataframe python3
Last synced: 07 May 2026
https://github.com/stavrosarm/mathematics_algorithms
Fundamental algorithms of Linear Algebra , Numerical Analysis and Calculus in Python and Julia.
calculus julia-language linear-algebra numerical-analysis numpy python
Last synced: 30 Jan 2026
https://github.com/shwetapardhi/assignment-03-q4-hypothesis-testing
Chi2 contengency independence test Q4. TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data at 5
alternate-hypothesis chi2-contingency contingency-analysis hypothesis-testing norm null-hypothesis numpy numpy-arrays pandas python scipy significance-testing stats
Last synced: 31 Jan 2026
https://github.com/moh-27sl/image-alignment--python-edition
Alignment of an unaligned image with a base/reference image using feature detection, feature matching, and homography in OpenCV.
ai classical-computer-vision classical-image-processing computer-vision computervision image-alignment image-processing imageprocessing neural-network numpy opencv python python3
Last synced: 15 Apr 2026
https://github.com/manu-karenite/medical-insurance-cost-predictor
Medical Insurance Cost Generator is a Linear Regression based Predictor which is used to estimate and predict the Cost a person has to pay while Buying a Medical Insurance.
kaggle-dataset linear-regression machine-learning matplotlib numpy pandas python3 reactjs scikit-learn
Last synced: 15 Apr 2026
https://github.com/breadrock1/ml-labs
Machine Learning. There is a suite of Machine Learning laboratory tasks.
classification knn knn-classification machine-learning nlp nlp-machine-learning numpy pandas pandas-dataframe python python3 random-forest regression scikit-learn-python skele trees
Last synced: 15 Apr 2026
https://github.com/oleksiilatypov/mlzoomcamp-capstone01
mlzoomcamp capstone project
cnn-classification flask numpy tensorflow
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https://github.com/amruta33/credit_card_analysis
The loan providing companies find it hard to give loans to the people due to their insufficient or non-existent credit history. Because of that, some consumers use it as their advantage by becoming a defaulter.
Last synced: 15 Apr 2026
https://github.com/singhvishal003/sales-data-analysis
Data Analysis according to sale data.
matplotlib numpy pandas seborn
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https://github.com/samiyaalizaidi/nn-ml-homeworks
Homework solutions for CPE-4903: Neural Networks & Machine Learning at Kennesaw State University.
machine-learning machine-learning-workflow neural-networks numpy scikit-learn
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https://github.com/prajakta1321/exoplanet-atmospheric-characterization-1
A machine learning project to classify exoplanets using light curve image data. Developed as part of the ML4SCI GSoC 2025 Test Task. Includes data processing, CNN-based model, and full report.
classification colab-notebook dbscan gsoc-2025 machine-learning-algorithms matplotlib-python ml numpy open-source pca-analysis python3 seaborn
Last synced: 07 May 2026
https://github.com/vyask21/opencv-drowsy
Drowsiness detection can be quickly done using shape predictor face landmarks.dat model file that mark the essential landmarks on the face using OpenCV modules.
Last synced: 08 Feb 2026
https://github.com/chandkund/sentiment-analysis-on-movie-reviews
Project on Sentiment Analysis of Movie Reviews using K-means clustering. This project clusters movie reviews based on their sentiment scores to understand audience reactions. Includes data preprocessing, feature selection, model development, and visualization.
data-science eda jupyter-notebook machine-learning matplotlib numpy pandas preprocessing python sklearn
Last synced: 01 Feb 2026
https://github.com/yousefmostafa125/image-processing
An interactive image processing web app built with Streamlit and OpenCV. The app allows users to upload an image, apply various processing steps, and download the results individually or as a ZIP file.
numpy opencv-python python streamlit
Last synced: 03 May 2026