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: 2026-07-02 00:21:34 UTC
- JSON Representation
https://github.com/khaymanii/heart-disease-prediction-model
This repository contains a model built using python and Logistic Regression algorithm
matplotlib numpy pandas python sckit-learn
Last synced: 18 Apr 2026
https://github.com/rhazra-003/fake_news_detector
A Machine Learning model to detect fake news with more than 95% accuracy
fake-news numpy pandas scikit-learn
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https://github.com/fatma-moanes/machine-learning-labs
My implementation for the labs of the Machine Learning course that I studied in my university, Zewail City.
bootstrap data-analysis data-science deep-learning keras knn-classification linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib ml neural-networks numpy pandas pca preprocessing python seaborn svm-classifier
Last synced: 12 Apr 2026
https://github.com/sarincr/introduction-to-pyqt5
PyQt5 is a comprehensive set of Python bindings for Qt v5. Qt is set of cross-platform Python libraries that implement high-level APIs for accessing many aspects of modern desktop and mobile systems.
app appdevelopment data-science kivy kivymd machine-learning numpy opengl pygui pyqt pyqt5 pyqt5-desktop-application pyqt6 pyside2 scipy tensorflow tkinter tkinter-graphic-interface tkinter-gui tkinter-python
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https://github.com/sreejabethu/cost-of-living-index-globally
This Streamlit app is a data visualization tool that allows users to explore and compare the cost of living indices across different countries. The app takes in a dataset of cost of living indices for various countries and provides an interactive interface for users to select specific indices and countries to visualize.
bargraphs costofliving costoflivingindex csv datavisualization index matplotlib-pyplot numpy pandas-dataframe plotly python seaborn streamlit-webapp
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https://github.com/thamirisq/data_analysis_culinary_journey
Project to analyze key information from Culinary Jorney, a marketplace Company, and develop an initial strategy to lead the entire team effectively.
folium-maps groupby-method jupyter-notebook markercluster marketplace-ds matplotlib-pyplot numpy pandas pandas-dataframe streamlit
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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
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https://github.com/bielstela/connect-four
Numpy implementation of the game connect four (AKA four in a row)
game-2d numpy numpy-exercises python
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Cรณdigos de Machine e Deep Learning
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image-compression numpy python svd-matrix-factorisation
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A basic chatbot which answers questions based on history of India
chatbot jupyter-notebook nlp nltk numpy python3 sckit-learn
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My Machine and Deep Learning Practice and Projects Notebooks
matplotlib numpy python3 pytorch sklearn tensorflow
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Tools for single node generation adequacy analysis
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Control your PC's mouse by just looking at the screen!
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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
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https://github.com/rkarahul/vehicle-number-plate-detection-and-ocr-reading-using-opencv-and-paddleocr
complated Vehicle Number Plate Detection and OCR Reading Using OpenCV and PaddleOCR
numpy opencv paddleocr paddlepaddle pandas python
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https://github.com/camilajaviera91/prediction-of-housing-prices-using-linear-regression
This project provides tools to search for datasets on Kaggle, download and preprocess them, and perform predictions using a Linear Regression model. It includes interactive text-based user interfaces built with `curses`.
curses kaggle linear-regression matplotlib-pyplot mean-absolute-error mean-square-error numpy pandas pathlib python scikit-learn train-test-split
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https://github.com/seungjaelim/scratchml
Implement neural network only using numpy
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Contains python codes.
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Challenges for DA with Python Certification on FreeCodeCamp
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https://github.com/vineet416/chronic-kidney-disease-prediction
This repository contain code of Chronic Kidney Disease Detection Prediction Project. The goal of this project is predict the chronic kidney disease using parameters like Diabetes Mellitus, Blood Urea, Sugar, Hypertension etc.. I used multiple machine learning algorithms with hyperparameter tuning which is having highest accuracy score of 97.5
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A list of jupyter notebook explaining the various functions and properties of Numpy.
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All python related content: notes, problems, progress archive.
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[RMIT 2025A] COSC2753 - Machine Learning - Group Assignment
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https://github.com/paulo-santos-ds/dados-telefonia
Este projeto tem como objetivo desenvolver um modelo que possa analisar o comportamento do cliente e recomendar um dos planos mais recentes de uma companhia telefรดnica fictรญcia.
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Deployable recommendation system for predicting the fittest IBM articles for a given user.
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Work done during Summer Training with OSAHub.
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Python Script to resize image to any dimension.
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Code used to galaxy protocluster analysis for Lacaille, K. et al., 2019, MNRAS
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This repository contains programs in the python programming language.
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https://github.com/iliatrofimov/linearsystems_solvers
Several methods of solving sistems of linear equasions
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Welcome to the Machine Learning Room GDSE66 project! This resource is dedicated to exploring machine learning concepts, where we build and experiment with various models to solve real-world problems.
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data-analysis data-science data-visualization matplotlib numpy pandas python
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ann classification cnn computer-vision deep-learning flask keras machine-learning matplotlib neural-network numpy oops opencv pandas python3 tensorflow
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Movie recommendation system using Machine learning
cosine-similarity jupyer-notebook machine-learning movie-recomendation-system numpy pandas python3 recomender-system vectorization
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Lending Club analysis, with a model that can predict whether or nor a borrower will pay back their loan.
binary-classification classification data-visualization keras matplotlib numpy pandas seaborn tensorflow
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https://github.com/spandey1296/internship_banking_ml_project
Machine Learning (Training + Internship) by InternshipStdio
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This is a Kaggle Dataset where we classify the cars using their various features. Here I used plotly to visualize the Accuracy Scores. Also I used CrossValScore to get More accurate Accuracy Score.
classification-algorithm cross-validation-score machine-learning matplotlib-pyplot numpy pandas sklearn
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https://github.com/mothnik/robust_fourier
Noise- and Outlier-Robust Fourier Transform with Hermite Functions with NumPy and Numba
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https://github.com/ansub/mask-detection
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https://github.com/codehass/facial-emotional-detection
Implement a complete AI pipeline in Computer Vision, from face detection to emotion classification using CNNs (TensorFlow/Keras) and Haar Cascades (OpenCV), and integrate this model into a FastAPI API connected to a PostgreSQL database.
cnn-model fastapi keras mathplotlib numpy opencv postgresql pydantic pytest sqlalchemy tensorflow
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https://github.com/faisal-khann/diwali-sales-analysis
The "Diwali Sales Analysis" project aims to analyze the sales data during the Diwali festival period to uncover insights and trends that can help improve marketing strategies and sales performance in the future
csv data-analysis eda jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 11 Apr 2026
https://github.com/mousazourob/stockdataresampler
Python script that resamples an instruments minute by minute candle stick data to any interval
alpha-vantage-api numpy pandas python
Last synced: 07 May 2026
https://github.com/guifernandess7/megasena-estatisticas-e-analises
Anรกlises e Estatรญsticas dos jogos da megasena com base em todos os jogos que jรก ocorreram.
Last synced: 29 Apr 2026
https://github.com/aryansk/movie-recommendation-system
A sophisticated movie recommendation system that suggests films based on user ratings and collaborative filtering techniques. Get personalized movie suggestions based on viewing patterns and user preferences! ๐ฏ
machine-learning machine-learning-algorithms matplotlib numpy pandas python recommender-system seaborn
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https://github.com/yunfanjiang/ml_interview_with_numpy
Implementation of ML algorithms using NumPy from scratch
from-scratch interview machine-learning machine-learning-algorithms numpy
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https://github.com/akshay-kamath/visual-privacy-protection
An AI based application designed to protect visual privacy by anonymizing faces and obfuscating sensitive textual information (PII) in both images and videos
ai caffemodel computer-vision deep-learning nlp numpy ocr opencv pillow python3 tkinter
Last synced: 29 Apr 2026
https://github.com/osx-rsplug-a/py_studies
Python studies
math matplotlib numpy pandas python
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https://github.com/nikita-data/unit_economics_projects
unit economics & cohort analysis projects
cac churn-rate conversion create-function data-analysis data-visualization eda hypothesis-testing ltv math matplotlib numpy python retention-rate roi scipy seaborn segmentation statistics unit-economics
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https://github.com/tynoee/movies-data-anlysis
This project explores a dataset of movies sourced from IMDb (via Kaggle) to uncover trends and insights about movie production, popularity, ratings, and more.
jupyter-notebook kaggle-dataset matplotlib numpy pandas python seaborn
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https://github.com/5hraddha/interconnect
Interconnect : Clients Churn Prediction using ML
decisiontreeclassifier dummyclassifier lgbmclassifier logisticregression matplotlib numpy ordinalencoder pandas randomforestclassifier scipy scipy-stats seaborn sklearn standardscaler
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https://github.com/freebirdscrew/datascience_crash_course
Data Science Crash Course that Explained about Each and Every Process in Data Science.
dash data datascience datascience-crash-course datascience-machinelearning datascientist datasets freebirdscrew matplotlib numpy numpy-library pandas plotly plotly-python python python3 simranjeet simranjeetsingh
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https://github.com/skywalkersam/ml-101
Machine Learning 101
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https://github.com/aryansk/fake-news-detection
A sophisticated machine learning solution to detect fake news using multiple classification algorithms. Identify the credibility of news articles with advanced text analysis techniques!
fake-news-detection machine-learning machine-learning-algorithms matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn
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https://github.com/aakashks/ct-reconstruction-2d
Python Implementation of Computed Tomography (CT) reconstruction for 2D images
computed-tomography ct-reconstruction numpy
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https://github.com/shanmukhsrisaivedullapalli/smsspamclassification
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https://github.com/nirmalyabag20/loan-status-prediction-using-machine-learning
This project focuses on predicting the loan status (approved or not approved) based on various applicant details. The goal is to develop a machine learning model that accurately classifies whether a loan should be approved, helping financial institutions make informed lending decisions.
matplotlib numpy pandas python scikit-learn seaborn support-vector-machine
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https://github.com/yogeshnile/flight-delay-prediction
In this repo i developed predict a flight delay using machine learning.
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https://github.com/vidhi1290/ai-ml-cartoonifier
Welcome to Cartoonify, a fun and interactive project that converts real photos into cartoonified masterpieces! This project guides you through the entire process, from loading the image to displaying the final cartoon version.๐
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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
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https://github.com/kunalshelke90/predict-bank-credit-risk-using-south-german-credit-data
This is an end-to-end ML project, which aims at developing a classification model for the problem of classifying a given customer profile into either of the risk category (safe or not safe). The final classifier used for this project is CatBoost classifier. Deployed in AWS.
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Last synced: 03 Jan 2026
https://github.com/abhishek010397/machinelearning-modeltraining
Machine Learning Model Training for Car Detection
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Last synced: 30 Apr 2026
https://github.com/nirmalyabag20/diabetes-prediction-using-machine-learning
This project focuses on predicting diabetes using machine learning algorithms based on health metrics like glucose levels, blood pressure, and BMI. By comparing different models, the goal is to identify the most accurate approach for early diabetes detection, showcasing the potential of machine learning in healthcare.
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Last synced: 18 Jan 2026
https://github.com/torahappy/takasa
OpenStreetMap ้ซไฝๅทฎใ่ใใๆ็ญ๏ผ๏ผ๏ผ็ต่ทฏๅ้กใฝใซใใผ
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https://github.com/bursasha/deeplearningai-machine-learning-tensorflow-course
Projects and certificates from a machine learning course focused on TensorFlow and Keras, covering neural networks, CNNs, NLP, and time series analysis ๐ง
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Last synced: 10 Apr 2026
https://github.com/34j/numpy-flint-arb
Arbitrary precision floating / ball arithmetic (interval arithmetic) dtype in NumPy / array API
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Last synced: 10 Mar 2026
https://github.com/datarohit/fifa-2020--data-analysis
This is dataset is from Kaggle.com which contains data of 18000+ fifa players with more than 100 features about them for analysis. Simple analysis performed on this Dataset.
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https://github.com/cusyio/datenverarbeitung-mit-numpy
Kurs zum Schreiben und Optimieren eigener Programme zur Datenverarbeitung mit Numpy.
Last synced: 08 Jun 2026
https://github.com/Tritonix711/FractureAI
This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.
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https://github.com/skywalkerSam/ML-101
Getting started with AI & ML!
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https://github.com/khaymanii/big_mart_prediction_model
This model was built using Python and Logistic Regression Algorithm
matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/prashver/customer-segmentation
This project utilizes unsupervised machine learning to segment bank customers for targeted marketing campaigns. It covers tasks like data exploration, determining optimal clusters, and applying k-means for segmentation. Ideal for marketing departments in banking and retail industries.
customer-segmentation matplotlib numpy pandas seaborn sklearn
Last synced: 07 Apr 2026
https://github.com/athari22/house_sales_in_king_count_usa
The idea of the project is to do a Data analysis in a Real Estate Investment Trust. The Trust would like to start investing in Residential real estate.
analysis data data-science data-visualization ibm ibm-watson linearregression machine-learning matplotlib numpy pandas sklearn-library
Last synced: 01 May 2026
https://github.com/smallgig/pickomino
Reinforcement Learning Environment with Gymnasium API
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Last synced: 19 Jan 2026
https://github.com/joshi-jyoti/heart-disease-prediction
This repository contains a Python-based project for predicting the likelihood of heart disease using a Logistic Regression machine learning model. It leverages a dataset of patient medical information to train and evaluate the model, providing insights into potential diagnoses.๐ฉบ
heart-disease-prediction heart-disease-predictor kaggle-dataset machine-learning numpy pandas python scikit-learn
Last synced: 01 May 2026
https://github.com/gandhasiri-rahul-mohan/random-forests-q2-company_data
About the data: Letโs consider a Company dataset with around 10 variables and 400 records.
data-science machine-learning numpy pandas python random-forest seaborn-plots
Last synced: 07 Apr 2026