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/reckonsys/datascience-docker
A docker image with numpy, scipy, nltk and pandas pre-installed with pip
docker docker-image dockerfile nltk numpy pandas scipy
Last synced: 10 Mar 2025
https://github.com/andrewzhoumq123/sci_graph_api
Generates different types of detailed plots for scientific data
fastapi h5py json matplotlib numpy pandas scipy
Last synced: 12 Apr 2026
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: 23 Apr 2025
https://github.com/abideen-olawuwo/house-prediction
A house prediction model
matplotlib numpy pandas seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/raghavendra317/brain-tumor-detection
A deep learning-based project for classifying brain MRI images into Glioma, Meningioma, No Tumor, and Pituitary Tumor using Convolutional Neural Networks (CNNs). This project aims to assist in early tumor detection, improving diagnostic accuracy and healthcare outcomes.
cnn-classification keras numpy opencv scikit-learn tensorflow
Last synced: 12 Apr 2026
https://github.com/supriya811106/whatsapp-chat-analyzer-app
Analyze WhatsApp chats with Python, Streamlit, and data visualization. Explore messaging patterns, content trends, and emoji usage to uncover insights from your conversations.
analyzer-web-app chat-analytics chat-analyzer data-preprocessing data-visualization emojis machine-learning matplotlib natural-language-processing nltk numpy pandas plotly python3 seaborn sentiment-analysis streamlit-webapp text-analysis user-engagement
Last synced: 30 Dec 2025
https://github.com/AsuquoAA/Applied_Data_Science_with_Python_Study
matplotlib numpy pandas seaborn
Last synced: 21 Jul 2025
https://github.com/ankitmishralive/machinelearning
Continuously deep diving in understanding & advancing my expertise in Machine Learning through ongoing education and hands on experience with practical learning.
artificial-intelligence data-analysis data-cleaning data-gathering machine-learning machinel-learning-algorithms matplotlib numpy pandas python seaborn
Last synced: 22 Mar 2025
https://github.com/ompreetham/nlp-sentiment-analysis-document-scoring-method
NLP Sentiment Analysis Document Scoring Method
countvectorizer document joblib nlkt nlp numpy pandas project re scoring sentiment-analysis sklearn
Last synced: 12 Apr 2026
https://github.com/ben854719/wasde-revenue-in-2024
The project will use AI to analyze the revenue from the dataset of the World Agricultural Supply and Demands Estimates.
gemini langchain large-language-models matplotlib numpy pandas-python
Last synced: 12 Apr 2026
https://github.com/nidomika/digit-recognition
Digit recognition project in Python
digit-recognition numpy opencv python tensorflow
Last synced: 12 Apr 2026
https://github.com/necraul/perlin-noise-py
Some examples of generating perling noise using Python
noise numpy perlin-noise python python3 vector
Last synced: 11 Mar 2025
https://github.com/dan-niles/neural-networks-from-scratch
A neural network implemented using only NumPy and Pandas for CS3631: Deep Neural Networks
Last synced: 05 May 2026
https://github.com/nilusche/feed_forward_network_py
Implementation of a neural network in python which can predict handwritten numbers from the MNIST dataset.
colab-notebook feed-forward-neural-networks neural-network numpy python
Last synced: 01 May 2026
https://github.com/ewdlop/computational-physcis-notes
Computational Physics written in Python
maple matlab numpy physics-simulation python qsharp scipy wolfram-mathematica
Last synced: 20 Apr 2026
https://github.com/elifftosunn/data-labeling
Bu araç veri kazıma aşamasından sonra verilerin istenilen kategoriye göre etiketlenmesi ve kullanılmayacak olan verilerin database'ten silinmesi ile makine öğrenmesi modellerini kullanmak için etiketleme adımınını otomatikleştirmek amaçlı yapılmıştır.
base64 kaleido numpy os pandas plotly postgresql psycopg2 psycopg2-binary time
Last synced: 12 Apr 2026
https://github.com/yosrak5/predictive_maintenance
End-To-End Predictive Analytics to predict Hardware Maintenance Before it occurs using data preprocessing and Machine Learning classification modeling (XGBOOST , Random Forest )
data-factory data-perspective machine-learning-workbench matplotlib numpy pandas python random-forest seaborn xgboost
Last synced: 25 Feb 2026
https://github.com/murugavl/loan_approval_prediction
This project is a Loan Approval Prediction System that uses Machine Learning to determine whether a loan application should be approved or rejected based on various factors. It is deployed using Streamlit for an interactive user experience.
jupyter-notebook machine-learning numpy pandas python random-forest-classifier scikit-learn stremlit
Last synced: 13 Apr 2026
https://github.com/pedasoft-consult/house-price-prediction
This project is a machine learning-powered web application for predicting house prices based on various features such as area, bedrooms, bathrooms, and more. It uses Flask for the backend and HTML/CSS/JavaScript for the frontend.
flask joblib matplotlib numpy pandas r2 random-forest regression seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/nabilshadman/python-uk-weather-analytics
An end-to-end data science workflow of UK weather data
data-engineering data-science data-visualization machine-learning matplotlib numpy pandas scikit-learn
Last synced: 13 Apr 2026
https://github.com/ellennewerkla/apriori-analise_cesta_de_mercado
Análise de Cesta de Mercado (Market Basket Analysis) utilizando o algoritmo Apriori para identificar regras de associação entre produtos em um conjunto de transações de supermercado.
apriori-algorithm jupyternotebook marketbasketanalysis mathplotlib mba numpy pandas python3
Last synced: 13 Apr 2026
https://github.com/kucera-lukas/imagesecrets
RESTful API for encoding/decoding messages into/from images.
api asyncio docker fastapi heroku mypy numpy pillow poetry postgresql pydantic pytest pytest-cov pytest-mock python python-typing restful-api steganography swagger tortoise-orm
Last synced: 28 Feb 2025
https://github.com/mahdibehoftadeh/polynomial-regression-co2-emissions
A simple machine learning polynomial regression using a large dataset to learn and predict CO2 emission of a car by its built features like engine size and cylinders
machine-learning matplotlib numpy nural-network pandas polynomial-regression python scikit-learn
Last synced: 22 Feb 2026
https://github.com/debjyotisaha/web-application-projects
Web Applications developed with the help Python libraries and ML algorithms
algorithms cufflinks machine-learning matplotlib numpy pandas prediction python scikit-learn seaborn sklearn streamlit
Last synced: 13 Apr 2026
https://github.com/waghraj1699/sms-spam-detection
A web app to check wheather the messages are spam or not.
classification-algorithm data-preprocessing data-visualization machine-learning nlp numpy pandas
Last synced: 18 Apr 2026
https://github.com/ivancaez/analisis_dades_microbit
Data analysis of Micro:bit with maplotlib, numpy and pandas
csv jupyter-notebook matplotlib microbit numpy pandas python
Last synced: 13 Apr 2026
https://github.com/chandkund/predicting-diabetes-onset
The "Predicting Diabetes Onset" project aims to build a machine learning model that predicts whether an individual has diabetes based on various health-related features. The dataset used for this project includes attributes related to medical history and physical measurements.
deep-learning numpy pandas python seaborn sklearn-library sklearn-metrics visualization
Last synced: 13 Apr 2026
https://github.com/hilarionengarejr/movie-recommender-app
Sentiment analysis on user reviews for movie recommendations using Content Based Filtering.
docker flask nltk numpy pandas python3 scikit-learn selenium
Last synced: 10 Apr 2026
https://github.com/pratyush905/farecast-nyc-taxifare-predictor
Machine learning models to predict nyc taxi fare based on given dataset
jupiter-notebook kaggle machine-learning matplotlib numpy python regression-models scikit-learn
Last synced: 13 Apr 2026
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/mosalem149/data-mining-assignments
That repo for data mining quizzes and tasks.
anaconda data-mining dataframe jupyter-notebook matplotlib mlxtend numpy pandas python quizzes scikit-learn seaborn tasks
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
Last synced: 13 Apr 2026
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
Last synced: 13 Apr 2026
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
Last synced: 13 Apr 2026
https://github.com/harmanveer-2546/tweets-cleaning-with-python
Twitter is one of the most used data sources for data analysis. The reason is that it’s open and free to collect unless you subscribe to the paid version one. Besides, it’s pretty simple to collect data from it.
filtering function-calling nlptk numpy os pandas punctuation python re removing-links tokenization tweet-cleaning twitter-data-analysis twitter-sentiment-analysis
Last synced: 10 Apr 2026
https://github.com/unvercan/activation-function-comparison-pytorch
Comparison of common activation functions on MNIST dataset using PyTorch.
activation-functions dataset deep-learning image-classification machine-learning matplotlib mnist neural-network numpy python pytorch relu sigmoid tanh
Last synced: 13 Jun 2025
https://github.com/abideen-olawuwo/nyc-taxi
Prediction the duration of New York Taxi trip
linear-regression matplotlib numpy pandas python seaborn sklearn
Last synced: 11 Apr 2026
https://github.com/alex1iv/asr_ru_numbers
Automatic Speech Recognition (ASR) system for Russian digits
audio-processing librosa numpy speech-recognition tensorflow
Last synced: 13 Apr 2026
https://github.com/nur-alam39/course-lab-experiments
The lab works: Code of academic courses-Digital Image Processing, Microprocessor, OOP, Numerical Analysis
cpp lab lex matplotlib numpy oop opencv python
Last synced: 13 Apr 2026
https://github.com/absolutelysaurabh/machine-learning
My machine learning journey.
linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas seaborn
Last synced: 13 Apr 2026
https://github.com/naveen88112/clustering_customer_invoice_data
Customer Invoice Data Clustering This project uses clustering methods on customer invoice data for segmentation analysis. It preprocesses data, normalizes features, and uses K-Means and DBSCAN to cluster customers according to spending habits and shared locations.
clustering data-preprocessing data-visualization numpy pandas python silhouette-score standardization
Last synced: 13 Apr 2026
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
Last synced: 18 Apr 2026
https://github.com/bhanuprakashnani/scit-tasks
Tasks for the SCIT Work Shop.
Last synced: 25 Apr 2026
https://github.com/max134/deepplate
A custom-trained YOLOv11-based license plate detection with PaddleOCR for accurate ANPR.
computer-vision cv2 deep-learning image-recognition licesnse-plate-recognition numpy object-detection ocr paddleocr real-time-processing sqlite3 ultralytics yolov11
Last synced: 13 Jul 2025
https://github.com/itshyphen/mass-mailing-script
A simple mass mailing script that sends personalized email to multiple emails importing from csv
Last synced: 13 Apr 2026
https://github.com/chmohit91/introduction-to-python
A comprehensive collection of Python programming resources, from basics to advanced concepts. Built for learners, by learners
matplotlib numpy pandas plotly python python-library python3 seaborn
Last synced: 13 Apr 2026
https://github.com/sulaimanniazi/image-histogram-generator
Python based image histogram generator and plotter
cv2 cv2-library histogram image image-processing numpy os pylab python python-script python3 random skimage
Last synced: 28 Apr 2026
https://github.com/dbriane208/python-for-data-science
Machine Learning and Data Science repository. Love crafting Machine Learning models.
data-analysis data-science data-visualization machine-learning numpy pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/ifte-13/early-stage-brain-stroke-detection
Predictive Analysis & Early Detection of Brain stroke using Machine Learning Algorithm
decision-tree imbalanced-learn knn matplotlib numpy pandas random-forest scikit-learn seaborn
Last synced: 06 Jul 2025
https://github.com/iv4n-ga6l/GenderDetection
Gender detection using gender classification model
genderclassification genderdetection numpy pil python resnet18 torch torchvision
Last synced: 28 Apr 2025
https://github.com/iv4n-ga6l/Crowd-move-simulation
Crowd move simulation in python
matplotlib numpy python simulation
Last synced: 28 Apr 2025
https://github.com/hajaarh/malaria_hematie_cnn
Algorithme de réseaux de neurones convolutionnels
numpy pandas python resnet-50 sklearn-library tensorflow vgg16
Last synced: 13 Apr 2026
https://github.com/soumyapro/house-price-prediction
Explored different attributes of Boston housing dataset then a part of dataset was used to train the linear regression algorithm after that trained model was used to give predictions on remaining part of dataset.
linear-regression matlplotlib numpy pandas sklearn svm
Last synced: 13 Apr 2026
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/shwetapardhi/assignment-03-q2--hypothesis-testing
Anova ftest statistics A hospital wants to determine whether there is any difference in the average Turn Around Time (TAT) of reports of the laboratories on their preferred list. They collected a random sample and recorded TAT for reports of 4 laboratories. TAT is defined as sample collected to report dispatch. Analyze the data and determine wheth
annova ftest hypothesis-testing numpy pandas python scipy significance-testing stats
Last synced: 11 Apr 2026
https://github.com/udacity-machinelearning-internship/support-vector-machine
Implementing SVM's using pandas and sklearn in python
numpy pandas sklearn support-vector-machines svm
Last synced: 13 Apr 2026
https://github.com/ot-code/coca-cola-stock-prediction
This repo compares four predictive models—Linear Regression, ARIMA, XGBoost, and LSTM—to forecast Coca‑Cola FEMSA stock closing prices using Python and five years of historical data.
arima csv linear-regression lstm-neural-networks mae matplotlib mse numpy pandas python r2 scikit-learn seaborn tensorflow-keras xgboost
Last synced: 13 Apr 2026
https://github.com/csengupta1101/netflix-rating
The project revolves around Netflix shows and movies around the world. The problem statement that is being tried to address here is that what kind of show to come up with in future times and how well that will fit with the audience
jupyter-notebook matplotlib movies netflix numpy pandas plotly python python3 rating tvseries
Last synced: 13 Apr 2026
https://github.com/5hraddha/eda-instacart-customers-shopping-habits
In this Exploratory Data Analysis (EDA) project we'll clean up the data and prepare a report that gives insight into the shopping habits of Instacart customers.
data-visualization exploratory-data-analysis instacart matlpotlib numpy pandas
Last synced: 13 Apr 2026
https://github.com/thanhloc81/rfm-model-project
✨ Build a flow to deploy Segmentation evaluation through Python programming.
customer-segmentation numpy pandas python rfm-analysis
Last synced: 03 May 2026
https://github.com/enoobis/conwaygolg
Conway's Game of Life Generator
conway conway-life conway-s-game-of-life conway-sgame conways-game conways-game-of-life game-of-life numpy python
Last synced: 19 May 2026
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
Last synced: 09 Apr 2026
https://github.com/ksalekk/mlp-nn
classification multilayer-perceptron neural-networks numpy python
Last synced: 24 Apr 2026
https://github.com/muskan-setiya/spotify-data-analysis
Used Spotify.csv from Kaggle
matplotlib numpy pandas python seaborn tableau
Last synced: 13 Apr 2026
https://github.com/aaaastark/wordassociation-mutualinformation-nlp-project
Word Association and Mutual Information Project
gensim machine-learning matplotlib natural-language-processing nlp nltk numpy pandas python seaborn sklearn wordcloud
Last synced: 13 Apr 2026
https://github.com/shreeparab1890/heart-attack-analysis-prediction-accuracy-85.24
This iPython Notebook implements the Analysis and Predictions for Heart Attack. The Analysis is done on the dataset to identify the key features which has a impact on Heart Attack. After the analysis and data cleaning, the dataset is used to train the model using different ML algorithm.
eda exploratory-data-analysis matplotlib numpy pandas plotly prediction python scikit sklearn
Last synced: 13 Apr 2026
https://github.com/nyx1311/toxicity-detector-using-bilstm
🚀 What we built: An AI-powered Women’s Safety & Well-Being Detector — a web app that flags multiple forms of online abuse in real time and offers tools for emotional recovery. 📊 Under the hood: BiLSTM + Word2Vec embeddings for deep, context-aware detection Trained on 21K+ labeled comments across 7 toxicity categories Built with Python, Tensor
epoch genism gpu keras-tensorflow matplotlib model nlp nlp-machine-learning nlpaug-textual numpy pandas pandas-library python3 streamlit tensorflow word2vec
Last synced: 14 Apr 2026
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
Last synced: 13 Apr 2026
https://github.com/vedikasnehil/daily-leetcode-
Daily LeetCode Using Python is a project dedicated to solving coding challenges consistently using Python. It focuses on improving problem-solving skills, mastering Python techniques, and building a collection of clean, well-documented solutions. Perfect for interview preparation, learning algorithms, or daily coding practice!
matplotlib numpy pandas python python3 seaborn
Last synced: 13 Apr 2026
https://github.com/mohamed15058/amazon-sales
amazon-sales
dashboard excel machine-learning-algorithms matplotlib numpy pandas powerbi report seaborn
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
Last synced: 13 Apr 2026
https://gitlab.com/DLR-SY/mcodac
MCODAC is a Fortran library for the numerical evaluation of fiber composite damage. The library contains analysis methods specifically tailored to fiber composites, from micromechanical homogenization approaches to macroscopic fatigue models of orthotropic multilayer composites.
Last synced: 02 Apr 2025
https://github.com/theblueberrycompendium/keras-movie-classification
This is an basic application that uses Keras
ai keras-tensorflow numpy python3 simple-project
Last synced: 13 Apr 2026
https://github.com/yash-3-bit/pubg-game-prediction
catboost-model data-visualization feature-engineering numpy pandas
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/disney35/stock-prices-dashboard
A dashboard to analyze, predict, and visualize stock prices using Python & LSTM
ema jupyter-notebook keras macd matplotlib-pyplot mfi numpy pandas python rsi scikit-learn sma streamlit tenserflow yfinance
Last synced: 12 Apr 2026
https://github.com/patilsukanya/assignment-06.-logistic-regression
Used libraries and functions as follows:
classifier concatination confusion-matrix eda linear-models logistic-regression logistic-regression-algorithm logit-model matplotlib-pyplot numpy one-hot-encoding pandas python roc-auc-score roc-curve seaborn
Last synced: 05 Oct 2025
https://github.com/hotequil/image-processing
Image processing.
jupyter-notebook matplotlib numpy opencv python
Last synced: 13 Apr 2026
https://github.com/minhtungonep/android-traffic-analysis
Android malware detection project analyzing network traffic patterns in a telecommunications context. Uses statistical hypothesis testing and data visualization to evaluate traffic features like DNS query times, TCP packets, and volume bytes for distinguishing between benign and malicious Android applications.
android-library bachelor-project bachelor-thesis cybersecurity cyface data-visualization hypothesis-testing malware-detection matplotlib network-traffic numpy pandas python scipy sdk statistical-analysis telecommunications voip-security
Last synced: 09 May 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
Last synced: 08 May 2026
https://github.com/christabelsakyi/tsec
This project implements a time series forecasting solution for predicting electricity consumption based on historical data. It provides multiple model options, a Flask API for deployment, and visualization tools.
facebook numpy pandas python sklearn time-series-analysis
Last synced: 07 Oct 2025
https://github.com/raveenaross/bulldozer-price-prediction
Predicting the sale price of bulldozers using machine learning
matplotlib numpy pandas sklearn time
Last synced: 07 Oct 2025
https://github.com/prarthana-singh/bangalore-house-price-predictor
🏡 Bangalore House Price Prediction – A Machine Learning model to predict house prices in Bangalore using real estate data. Built with Linear Regression, Python, Pandas, NumPy, and Scikit-Learn.
data-analysis eda house-price-prediction linear-regression machine-learning numpy pandas python real-estate regression scikit-learn
Last synced: 19 Apr 2026
https://github.com/thkox/uni_2023-content-based-image-retrieval
This project is a team assignment for the "Image Analysis" course, offered in the 7th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.
7th-semester cartesian-product content-based-image-retrieval department-of-informatics hyperedge-similarity-calculation hypergraph image-analysis matplotlib networkx numpy python rank-normalization scipy torchvision university-of-piraeus
Last synced: 08 Oct 2025
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
Last synced: 27 Apr 2026
https://github.com/ahmrina/unetbraintumorseg
UNetBrainTumorSeg is a 3D Slicer extension named "seg_module" that integrates a 3D UNet trained on BraTS2020 dataset to segment brain tumor area from MRI volumes
3d-slicer-extension monai numpy python pytorch slicer unet vtk
Last synced: 07 May 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
Last synced: 12 Apr 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/mkdirer/disaster-tweet-nlp-adaboost-transformers
A machine learning project that classifies tweets as disaster-related or non-disaster-related using transformers and the AdaBoost technique. Achieved an accuracy of approximately 80% on the validation set
geopy keras matplotlib numpy pandas python sklearn tensorflow
Last synced: 12 Apr 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