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: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/rakibhhridoy/imageprocessing
Large amount of image processing is quite messy and time consuming,thus the working steps should be fast as well as accurate also. I've made sequential functions that is needed for processing data in TensorFlow and python. These functions made my work fast as it needed in commercial purposes.
augmentation deep-learning functional-programming image-manipulation image-processing keras machine-learning numpy python sequential-patterns tensorflow
Last synced: 08 Apr 2026
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.
healthcare jest-tests mern-stack mongodb nodejs nosql numpy pytorch react scikit-learn tailwindcss
Last synced: 13 May 2025
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
data-science internship-task intership jupyter jupyter-notebook linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas python python3 supervised-learning supervised-machine-learning thesparksfoundation thesparksfoundationinternship tsf
Last synced: 09 Apr 2026
https://github.com/tabotcharlesbessong/recommendationframeworks
learning deep learning and machine learnint
matplotlib numpy os pandas pillow python3 pytorch
Last synced: 08 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! 📄✨
colab computer-vision data-extraction data-visualization document-processing image-analysis image-processing machine-learning matplotlib numpy ocr opencv pandas persian-ocr persian-text python table-detection table-extraction tesseract text-recognition
Last synced: 08 Apr 2026
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.
anaconda article-recommendation clustering-algorithm data-analysis data-science keras-tensorflow machine-learning machine-learning-algorithms ml-models numpy pandas plotly python scikit-learn scipy
Last synced: 06 Jan 2026
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/jayanthpotluri5513/ml-project-on-iris-dataset-
In this machine learning project, we explore and analyze the famous Iris dataset. The goal of the project is to apply various machine learning techniques to classify the Iris flowers based on their measured features.
machine-learning matplotlib numpy pandas python streamlit
Last synced: 08 Apr 2026
https://github.com/rushikeshbihade/django_bsased_dataanalyzer_webapp
Data Analyzer is a Django web application that enables users to upload CSV files, perform data analysis using pandas and numpy, and view results and visualizations on an interactive web interface. It simplifies data analysis by offering a user-friendly platform for data upload, processing, and visualization.
backend-development bootstrap css3 dataanalysis dataprocessing django-application django-framework djangotemplates html5 javascript numpy pandas plotly-express python3 seaborn-plots webapp
Last synced: 02 Mar 2026
https://github.com/KernFerm/PresFutImpactSim
This repository contains a Python simulation model that forecasts political, economic, and social factors under a hypothetical presidency. Users input initial values, and the model simulates their progression through defined interactions and random variations.
economic-model forecasting matplotlib numpy political-model python scipy simpy simulation social-model
Last synced: 16 Oct 2025
https://github.com/earth-app/doc2lora
Generate LoRA Adapters from documents
ai cloudflare-ai cloudflare-workers lora numpy py python torch
Last synced: 16 May 2026
https://github.com/aisurjyasamantaray/customer-purchase-analysis
This project involves an in-depth analysis of customer purchasing behavior and sales performance to drive business insights and strategies.
customer-purchasing customer-segmentation data-visualization dataanalysis dataanalysis-projects marketing-insights matplotlib numpy pandas python revenue-and-performance-analysis seaborn-plots
Last synced: 09 Apr 2026
https://github.com/indhra/helloworld
1.Numpy tutorial
numpy numpy-arrays numpy-tutorial python3
Last synced: 09 May 2026
https://github.com/reddyprasade/bicycle-sharing-system-in-us
A bicycle-sharing system, public bicycle system, or bike-share scheme, is a service in which bicycles are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" and return it at another dock belonging to the same system. Docks are special bike racks that lock the bike, and only release it by computer control. The user enters payment information, and the computer unlocks a bike. The user returns the bike by placing it in the dock, which locks it in place. Other systems are dockless. For many systems, smartphone mapping apps show nearby available bikes and open docks.
dataanalysis jupyter maplotlib numpy pandas python r
Last synced: 29 Aug 2025
https://github.com/cskhomo/scientific-python
Scientific Computation, Data Analysis using Python, Bash, SQL for FreeCodeCamp Courses.
numpy postresql shell-scripting
Last synced: 14 May 2025
https://github.com/khadkarajesh/wine-prediction
White and Red Wine classification using logistic regression
airflow airflow-dags classification classification-algorithm data-science dataingestion evidently flask logistic-regression logistic-regression-algorithm machine-learning machine-learning-pipeline mlflow numpy pandas pipeline postgresql python scikit-learn supervised-learning
Last synced: 08 Apr 2026
https://github.com/savitar-hub/image-classification
Notebooks on how image classification can help businesses make better decisions and improve the customer experience.
image-classification image-processing jupyter-notebook numpy opencv pandas pytorch tensorflow
Last synced: 08 Apr 2026
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: 07 Apr 2025
https://github.com/theanujsinha01/rainfall-prediction-using-machine-learning
This project predicts whether it will rain or not based on weather features like pressure, humidity, dew point, cloud cover, sunshine, wind direction, and wind speed. We use a Random Forest Classifier, a popular ML algorithm, trained on historical weather data. The model learns patterns and helps us forecast rain chances.
classification data-analysis eda machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn supervised-learning
Last synced: 11 Apr 2026
https://github.com/kostasereksonas/ids_test
Code for intrusion detection system based on "Intrusion Detection System Using Machine Learning Algorithms" tutorial on Geeksforgeeks and Intrusion Detection on NSL KDD Github repository.
ids intrusion-detection intrusion-detection-system nsl-kdd-dataset numpy pandas python scikit-learn tensorflow
Last synced: 08 Apr 2026
https://github.com/cchandre/confkam
Conjugation method in configuration space for invariant tori of Hamiltonian systems
conjugation hamiltonian hamiltonian-dynamics invariant-tori kolmogorov-arnold-moser numpy python3 scipy
Last synced: 06 May 2026
https://github.com/davityak03/animal-image-classification-using-cnn
Animal image classification using Convolutional Neural Networks (CNNs) involves training a model to recognize and categorize different animal species based on their images. The CNN architecture excels at automatically extracting features from images, such as shapes and textures, which are crucial for accurate classification.
cnn-classification keras numpy pandas pretrained-models python tensorflow
Last synced: 08 Apr 2026
https://github.com/anish202020/data-analysis-and-machine-learning-basic-programs
Basic programs on data analysis and machine learning for students. It includes a variety of tutorials, examples, and models to help students understand and apply these concepts.
keras matplotlib numpy pandas python sklearn tensorflow
Last synced: 08 Apr 2026
https://github.com/akashshnkr/multi-disease-prediction
Developed and integrated three machine learning models for predicting diabetes, Parkinson's, and heart disease into a Streamlit-based web application. The interface allows users to input data and receive accurate health predictions, enhancing early detection and healthcare outcomes.
logistic-regression machine-learning-algorithms numpy pandas python scikit-learn streamlit-webapp svm
Last synced: 02 Jan 2026
https://github.com/antonvagabond/maze
Operation and functionality of two mazes.
matplotlib maze numpy pillow python python3
Last synced: 07 May 2026
https://github.com/aneeshmurali-n/ml_bangalore_house_price_analysis
This project focusing on statistical analysis to understand and prepare data for potential machine learning applications. The dataset house_price.csv includes property prices in Bangalore. The analysis aims to perform exploratory data analysis (EDA), detect and handle outliers, check data distribution and normality, and analyze correlations.
box-plot correlation data-distribution data-transformation exploratory-data-analysis heatmap histplot iqr-method log-transformation matplotlib numpy outlier-detection outlier-handling pandas percentile-method python scatter-plot scipy seaborn z-score-method
Last synced: 06 Jan 2026
https://github.com/dmarks84/ind_project_california-housing-data--kaggle
Independent Project - Kaggle Dataset-- I worked on the California Housing dataset, performing data cleaning and preparation; exploratory data analysis; feature engineering; regression model buildings; model evaluation.
cross-validation data-modeling data-reporting data-visualization eda folium grid-search matplotlib model-evaluation numpy pandas pca python seaborn sklearn statistics supervised-ml unsupervised-ml
Last synced: 08 Apr 2026
https://github.com/geetisha/advanced-eda-and-text-mining
Advanced EDA and Text Mining
jupyter-notebook matplotlib nltk numpy pandas python spacy textblob wordcloud
Last synced: 08 Apr 2026
https://github.com/jonad/dog_detection_app
Identify dog breeds using Convolutional Neural Network.
convolutional-neural-networks keras neural-network numpy opencv-python pandas resnet-50 scikitlearn-machine-learning transfer-learning vgg19
Last synced: 03 May 2026
https://github.com/simranjeet97/datascience_crashcourse
Data Science Crash Course that Explained about Each and Every Process in Data Science.
dash data data-science data-science-crash-course data-structures data-visualization datascience-machinelearning datasciencecoursera datascienceproject instagram matplotlib numpy pandas telegram tutorials youtube
Last synced: 08 Apr 2026
https://github.com/nehalmr/qiksit-fall-fest-hackathon-2024
The Qiskit Hackathon is a unique opportunity for students to dive into the fascinating world of quantum computing. Participants will collaborate in teams to tackle a series of challenging problems that test their creativity, problem-solving skills, and understanding of quantum algorithms. This hackathon aims to inspire innovation in QC.
cpython hackathon ibm ibm-qiskit ibm-quantum-challenge matplotlib numpy python python3 qbits qiskit qiskit-tutorial quantum-algorithms quantum-computing quantumcircuits quantumregister
Last synced: 11 May 2026
https://github.com/geetisha/web-scraping-and-sentiment-analysis
Web Scraping and Sentiment Analysis
jupyter-notebook matplotlib nltk numpy pandas python seaborn selenium vader-sentiment-analysis
Last synced: 08 Apr 2026
https://github.com/pavankethavath/dominos---predictive-purchase-order-system
This advanced forecasting tool leverages Prophet, ARIMA, SARIMA, and LSTM models to predict daily sales for 32 pizzas and 64 ingredients. With Prophet achieving the lowest MAPE, it ensures accurate demand forecasts, optimized inventory, and efficient purchase planning, reducing waste, preventing stockouts, and enhancing supply chain efficiency.
arima deep-learning eda exploratory-data-analysis forecasting lstm machine-learning mape matplotlib minmaxscaling numpy pandas prediction python sarimax seaborn seasonality tensorflow time-series
Last synced: 08 Apr 2026
https://github.com/moustafamohamed01/moustafamohamed01
Software Engineering Student | Specializing in Machine Learning, Deep Learning, and Generative AI
artificial-intelligence artificial-neural-networks config convolutional-neural-networks data-analysis data-science data-visualization deep-learning keras machine-learning matplotlib natural-language-processing numpy pandas python pytorch recurrent-neural-networks scikit-learn seaborn tensorflow
Last synced: 08 Apr 2026
https://github.com/tawabshakeel/neural-networks-using-keras
Different Neural Networks using keras
deep-learning keras machine-learning neural-networks numpy pandas python sklearn
Last synced: 08 Apr 2026
https://github.com/iamshatha/disease-symptom-analysis
The data file defines the relationship between different symptoms and possible diseases
analysis dataset disease matplotlib numpy python symptoms
Last synced: 07 May 2026
https://github.com/yashodatta15/top-250-anime-2023-eda
anime eda matplotlib movies numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/tristan296/deepplate
A custom-trained YOLOv11-based license plate detection with PaddleOCR for accurate ANPR.
cv2 numpy paddleocr sqlite3 ultralytics yolov11
Last synced: 04 Apr 2025
https://github.com/sourabh-kumar04/numpy-basic
Numpy-Basic is a structured learning repo covering NumPy from basics to advanced. It includes arrays, indexing, reshaping, filtering, vector ops, angle functions, stats, and .npy file handling. Each concept is explained with code, examples, and Matplotlib visualizations in both light and dark modes. Ideal for students and data learners.
data-analysis data-science data-visualization learning learning-resources machine-learning matplotlib numerical-computing numpy python python-library python-programming
Last synced: 10 May 2026
https://github.com/uhstray-io/pyrizon
Data Collection, Analysis, Mapping, Pipelining & Transformation, & API using Python
api data-engineering etl numpy pandas plotly python pytorch raw-data scikit-learn seaborne sql sqlite tensorflow
Last synced: 09 Apr 2026
https://github.com/msthamizh/singapore-resale-flat-prices-predicting
Developing a Streamlit application that allows users to interactively predict the resale prices of flats in Singapore using machine learning. The application supports regression tasks, enabling users to input various features, such as location, flat type, floor area, and lease start date, and receive predictions for resale prices.
exploratory-data-analysis machine-learning matplotlib numpy pandas python seaborn streamlit
Last synced: 09 Apr 2026
https://github.com/udityamerit/curafind-powered-by-ai
CuraFind AI is a web-based application leveraging Natural Language Processing (NLP) to intelligently recommend medicines. Users can search using symptoms, medicine names, or free-text descriptions, and receive suggestions along with brand substitutes for drugs
ai machine-learning nlp numpy pandas scikit-learn
Last synced: 18 Sep 2025
https://github.com/tasninanika/heart-disease-analysis
The Heart Disease Analysis project is a comprehensive machine learning study aimed at predicting the presence of heart disease using the Heart Disease UCI Dataset.
knn logistic-regression matplotlib numpy pandas python3 random-forest scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/sumitgirwal/drinks-dataset-data-analysis
A drinks dataset from Kaggle. Applying analysis using Python, NumPy, Pandas, Matplotlib.
dataanalysis drinks-dataset kaggle matplotlib numpy pandas python3
Last synced: 13 Apr 2026
https://github.com/willie-conway/data-science-tools-and-ecosystem
🧠 Explore essential Data Science 🧪 tools, 🧰 libraries, and 🐍 Python arithmetic basics — perfect for beginners!
data-science jupyter keras notebooks numpy pandas python pytorch
Last synced: 27 Jul 2025
https://github.com/pooranjoyb/autoencoder-colorization
Autoencoder for Image Colorization
autoencoder keras-tensorflow machine-learning neural-networks numpy pandas python streamlit tensorflow
Last synced: 09 Apr 2026
https://github.com/arpandatta011/facial_image_recognition
This project includes the introduction of the facial expression recognition and an investigation on the recent previous researches for extracting the effective and efficient method for facial expression recognition.
cv2 keras matplotlib numpy pandas tensorflow
Last synced: 09 Apr 2026
https://github.com/weisscharlesj/SciCompChem_Experimental
Scientific Computing for Chemists Jupyter Book
book chemistry jupyter jupyter-lab matplot nmrglue numpy pandas python scikit-image scikit-learn scipy seaborn textbook
Last synced: 07 Nov 2025
https://github.com/xaxtric7/learn-numpy
🧮 Welcome to my NumPy Practice repository! This repo contains my hands-on learning, notes, and code experiments as I dive into the fundamentals and advanced features of NumPy – a powerful library for numerical computing with Python.
Last synced: 15 May 2026
https://github.com/santiagoenriquega/custom_ensemble_learning
This repository focuses on building a random forest classifier and regressor as well as a gradient boosted regressor, building them from scratch using only NumPy for faster array processing.
numpy python python3 random-forest random-forest-classifier random-forest-regressor
Last synced: 15 May 2026
https://github.com/melihcanndemir/3d-fractal-explorer
Interactive 3D visualization tool for exploring the mesmerizing world of Mandelbrot and Julia fractals. Built with Python, OpenGL and PyQt5, offering real-time animation and intuitive controls.
3d-graphics complex-numbers computer-graphics data-visualization educational fractal graphics-programming interactive julia-set mandelbrot math-visualization mathematical-art mathematics numpy opengl pyqt pyqt5 python scientific-visualization visualization
Last synced: 30 Jul 2025
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/quantum-software-development/qiskit
qiskit circuits on IBM Quantum
Last synced: 30 Jul 2025
https://github.com/georgehanymilad/heart-disease-detection
Machine Learning Project
anaconda classification classification-algorithm dataanalysis datascience kaggle machine-learning machine-learning-algorithms matplotlib numpy pandas python python3 seaborn
Last synced: 07 Apr 2026
https://github.com/raduldev/gromacs
Molecular Dynamics Simulation using GROMACS in Jupyter notebook
bash gromacs matplotlib molecular-dynamics-simulation numpy pandas python3 shell
Last synced: 09 Apr 2026
https://github.com/sarah-ribeiro/curso-pandas-alura
A comprehensive project comprising numerous exercises developed within an Alura course focused on Pandas.
jupyter-notebook matplotlib numpy pandas python
Last synced: 01 Aug 2025
https://github.com/bessarodrigo/dataviz_sales_retail
Este projeto apresenta um mosaico com o Matplotlib com um retrato do desempenho das vendas de uma empresa de varejo.
matplotlib numpy pandas python python3
Last synced: 09 Apr 2026
https://github.com/kientech/calories-burnt-prediction-with-machine-learning
The Calories Burnt Prediction with Machine Learning project aims to predict the number of calories burned during physical activities based on various factors such as duration, activity type, age, weight, and more.
fastapi heroku machine-learning matplotlib-pyplot modeling numpy pandas python reactjs tailwindcss
Last synced: 02 Aug 2025
https://github.com/ahlem-phantom/django-travel-agency
Travel Agency website built using Django, designed for browsing and booking of travel packages.
beautifulsoup celery djagno django-rest-framework numpy rabbitmq weasyprint
Last synced: 02 Aug 2025
https://github.com/vortexv7/engagevision-yt
Thumbnail Engager is a Streamlit-based web app that uses AI to analyze YouTube thumbnails, providing actionable feedback to improve engagement. Upload a thumbnail to get insights on its strengths, weaknesses, and tips for maximizing views. Perfect for creators looking to optimize their visuals!
gcp numpy pandas python3 streamlit streamlit-cloud tensorflow youtubeapiv3
Last synced: 09 Apr 2026
https://github.com/shriram-vibhute/data-analysis
This repository offers a comprehensive collection of data analysis techniques using NumPy Pandas, Matplotlib and Seaborn.
data-aggregation data-analysis data-visualization data-wrangling matplotlib numpy pandas seaborn
Last synced: 02 Aug 2025
https://github.com/vidyasagarmsc/pydataflownote
As I explore Python libraries....
jupyter-notebook numpy python pytorch scikit-learn scipy tensorflow
Last synced: 27 Sep 2025
https://github.com/srgrace/data-cleaning-challenge
Data Cleaning Challenge
data-science jupyter-notebook numpy pandas python scikit-learn
Last synced: 09 Apr 2026
https://github.com/theanujsinha01/customer-segmentation-using-k-means-clustering
This project focuses on customer segmentation using the K-Means clustering algorithm. A user-friendly Streamlit dashboard allows users to upload their own dataset, choose any two numeric features (like age, income, or spending score), and perform clustering. The app dynamically visualizes customer groups, recommends the best number of clusters
jupyter-notebook k-means-clustering machine-learning matplotlib numpy pandas python seaborn streamlit unsupervised-learning
Last synced: 09 Apr 2026
https://github.com/hariprasath-v/mh_google_cloud_bigquery_ltv_prediction_challenge
Build a model that can predict customers' Long Term Value (LTV).
bigquery colab-notebook klib machine-learning matplotlib numpy pandas python python3 seaborn
Last synced: 09 Apr 2026
https://github.com/tynab/lottery
Xổ số kiến thiết
crawl da data-analyst deep-learning dl jupyter-notebook lottery matplotlib numpy pandas pip pip3 py python scikit-learn sklearn tynab xo-so xo-so-kien-thiet yan
Last synced: 03 Aug 2025
https://github.com/jimmymugendi/neural-network-for-binary-classification
aws neural-networks numpy pandas sagemaker tensorflow
Last synced: 09 Apr 2026
https://github.com/paulo-santos-ds/rotatividade_de_clientes
A operadora de comunicações InternetGO está interessada em prever a rotatividade de seus clientes (churn). Se for identificado que um usuário está planejando trocar de operadora, a empresa poderá oferecer códigos promocionais e opções de planos especiais para evitar a perda desse cliente.
catboost numpy pandas pyplot python seaborn sklearn
Last synced: 09 Apr 2026
https://github.com/arunagirinathan-k/text-classifier-using-nlp_techniques
A Text Classification using NLP Techniques.
matplotlib nlp nltk numpy pandas scikit-learn seaborn spacy text-classification
Last synced: 09 Apr 2026
https://github.com/datarohit/nfl-big-data-bowl-2022--analysis
This is a Jupyter Notebook containing the analysis performed on a Kaggle Competition Dataset which contains data about NFL players and games.
kaggle kaggle-competition matplotlib-pyplot numpy pandas plotly python seaborn
Last synced: 09 Apr 2026
https://github.com/shreeparab1890/movie-recommender-system
This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.
bag-of-words cosine-similarity matplotlib numpy pandas python scikit-learn sklearn vectorization
Last synced: 09 Apr 2026
https://github.com/ankushmallick1100/Diabetes-Prediction-of-Females-using-Maching-Learning-Techniques
This is a machine learning project that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LRwith CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library. Paper is ongoing.
classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier
Last synced: 29 Sep 2025
https://github.com/RedInfinityPro/Laser-Strategy
Rating: (8/10): Is an interactive graphical simulation using Pygame library, featuring laser and detector dynamics. It includes pathfinding, collision detection, and dynamic object interactions. The game allows dragging, checking for collisions, and updating object states.
math numpy pygame random sys time
Last synced: 30 Sep 2025
https://github.com/mariamabidi/pinn-based-flow-prediction
This repository contains code and experiments for predicting 3D aerodynamic flow around car geometries using Physics-Informed Neural Networks (PINNs) and for analyzing flow features via autoencoder-based clustering.
computer-vision machine-learning neural-network numpy pytorch pyvista scikit-learn
Last synced: 05 Aug 2025
https://github.com/malwarebo/carcinet
Basic breast cancer detection using Machine Learning
deep-learning keras machine-learning matplotlib numpy python3 scipy tensorflow
Last synced: 09 Apr 2026
https://github.com/edwardcdev/satellites-chart
A simple dashboard for satellites data statistics by displaying charts such as line-marker, histogram and box charts.
Last synced: 09 Apr 2026
https://github.com/matheussc017/irisclassification_sklearn
Application of Machine Learning technique to classify 3 types of iris flower
data-science machine-learning numpy pandas python
Last synced: 09 Apr 2026
https://github.com/theankurgoswami/study-notes
Notes of topics I study.😛
deep-learning-book linear-algebra numpy opencv pandas regular-expressions sql tensorflow
Last synced: 09 Apr 2026
https://github.com/xenia101/local-outlier-factor
Deriving the Local Outlier Factor Score
algorithm algorithms classification local-outlier local-outlier-factor lof machine-learning numpy pandas python python3 sklearn sklearn-library
Last synced: 09 Apr 2026
https://github.com/rickymagner/nonlinear-gradient-descent
An example of using gradient descent to approximate noisy data sampled from a cubic curve.
matlab matplotlib numpy octave pandas python
Last synced: 09 Apr 2026
https://github.com/ankushmallick1100/django-insurance-premium-predictor-web-app
This is a web app where a user can signup to the website first and then login to access the website. Then, he/she can give their age, select his/her gender, bmi, number of children, select whether he/she is a smoker or not, and select his/her region. Gradient Boosting Regressor is used in this project which gives the best accuracy of 89.798.
bootstrap bootstrap5 css django gradientboosting gradientboostingregressor html insurance-prediction insurance-premium-predictor machine-learning matplotlib numpy pandas python regression regression-models sklearn tailwind tailwind-css tailwindcss
Last synced: 09 Apr 2026
https://github.com/aymen016/film-recommendation-engine
A machine learning-powered movie recommender system designed to provide personalized recommendations based on user preferences and data analysis. This project includes a backend recommendation engine, a Streamlit-based interface, and a web-based frontend for an enhanced user experience.
flask numpy pandas pickle python scikit-learn streamlit
Last synced: 09 Apr 2026
https://github.com/khaymanii/wine-quality-prediction-model
This is a model built using Python and Random Forest Classifier which is an ensemble algorithm and also a supervised learning algorithm
matplotlib numpy pandas python sckit-learn
Last synced: 09 Apr 2026
https://github.com/affan-ch/gesture-talk-ai
GestureTalkAI: Decode hand language with precision. This AI project utilizes cutting-edge computer vision for real-time hand gesture detection, unveiling the unspoken messages conveyed through intuitive movements.
Last synced: 09 Apr 2026
https://github.com/cchandre/vm15d
Hamiltonian fluid reduction of the 1.5D Vlasov-Maxwell equations
fluid-simulation fluid-solver hamiltonian kinetic-modeling mathematica matlab numpy plasma-physics python3 scipy vlasov-equation vlasov-solver
Last synced: 09 Apr 2026
https://github.com/amanpatel-1234/automatic_data_analyzer_app
📊 Automatic Data Analyzer is a Streamlit web app that performs complete data analysis with just a single file upload. Simply upload your CSV file, and the app automatically generates: Data Overview: Preview, summary statistics, and data types. Visual Analysis: Histograms, distribution plots, and interactive charts for numeric columns.
app data-science data-visualization matplotlib-pyplot numpy pandas python3 seaborn seaborn-plots streamlit
Last synced: 09 Apr 2026
https://github.com/c0sogi/python-dcm
A high-performance Python package for handling ETAS DCM(Data Conversion Format) files used in engine calibration tools like INCA, MDA, EHANDBOOK, and CANape.
automotive dcm ecu-calibration etas inca numpy pandas python
Last synced: 12 Aug 2025
https://github.com/bhavik-jikadara/house-price-prediction
House Price Prediction
data-science dataprocessing eda jupyter-notebook machine-learning matplotlib model numpy pandas python seaborn test-train-dataset
Last synced: 09 Apr 2026
https://github.com/skazemi/genadequacy.jl
Tools for single node generation adequacy analysis
adequacy analysis generation julia numpy power-grids power-systems power-systems-analysis python simulation
Last synced: 09 Apr 2026
https://github.com/prathameshdhande22/data-visualization-tutorial
Repository Contains all the stuff required for Data Visualization. Numpy Tutorial, Pandas Tutorial, Matplotlib Tutorial, Seaborn Tutorial
data-visualization jupyter-notebook matplolib numpy pandas pandas-dataframe python seaborn tutorial
Last synced: 09 Apr 2026
https://github.com/htlinh0604/invoice-data-extraction
This project demonstrates a classic OCR pipeline. This Flask app takes an image, applies an OpenCV preprocessing pipeline, and uses Tesseract OCR to digitize Vietnamese invoices (Bách Hóa Xanh)..
flask numpy ocr-recognition opencv pandas python regex tesseract-ocr
Last synced: 10 Nov 2025
https://github.com/meqdaddev/pixcraft
Welcome to PixCraft... Unleash the Power of Pixels
edge-detection flask gaussian-blur image-processing matplotlib matplotlib-pyplot numpy opencv opencv-python python
Last synced: 09 Apr 2026
https://github.com/mhmudfzli/exploring-mental-health-data
This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance
catboost lightgbm matplotlib numpy pandas scikit-learn seaborn xgboost
Last synced: 09 Apr 2026
https://github.com/mrtarantoga/mdl-density-histogram
Cython-accelerated MDL histogram density estimation. Implements Kontkanen & Myllymaki's dynamic programming algorithm for optimal variable-width bins, parametric complexity with Ramanujan approximations, and automatic bin count selection. Based on "MDL Histogram Density Estimation" (JMLR 2007).
cython-library mdl numpy pypi-package python3
Last synced: 30 Nov 2025
https://github.com/skywalkersam/ml-101
Machine Learning 101
ai-ml jupyter-notebooks matplotlib ml ml-framework numpy pandas python3 scikit-learn tensorflow
Last synced: 09 Apr 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
https://github.com/sahajrajmalla/co2-calculator-api
A Web Application backend API that enables people to create events, join events, and measure the carbon footprint produced by each participant to get insights about online and onsite carbon emissions.
apis carbon-emissions carbon-footprint fastapi makefile numpy pandas precommit sqlalchemy sqlite3 uvicorn
Last synced: 09 Apr 2026
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.
k-neighbors-classifier logistic-regression machine-learning matplotlib numpy pandas python random-forest seaborn svc
Last synced: 09 Apr 2026
https://github.com/upul/indi
Small Machine Learning library written in Python
algorithms machine-learning numpy python scipy
Last synced: 10 Apr 2026