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/winterwind/ecg_signal_classification
Two-part project that involves detecting the R-peaks in an ECG signal to extract the individual ECG beats and making a machine learning model to classify them
csv csv-files data-science decision-trees ecg ecg-classification ecg-signal jupyter jupyter-notebook knearest-neighbors knn machine-learning matplotlib matplotlib-pyplot numpy pandas pyplot python random-forest scipy
Last synced: 11 Apr 2026
https://github.com/nachtfeuer/covid19
Python script(s) for visualizing corona data
csv json matplotlib numpy pandas python requests tkinter
Last synced: 05 May 2026
https://github.com/eduardoprofe666/mn-api
🐍📦 Paquete de Python con implementaciones de métodos numéricos
mn-api numerical-methods numpy pandas python scipy simpy tabulate
Last synced: 04 Jan 2026
https://github.com/badranalyst/student-tests-data-analysis-application
Python-based analysis of student test scores in math, reading, and writing, examining correlations with parental education, lunch type, and test preparation. Includes data cleaning, visualization, and statistical insights into factors influencing academic performance.
data-analysis data-visualization dataset matplotlib numpy pandas python sklearn
Last synced: 05 May 2026
https://github.com/kahngjoonkoh/randomshapegenerator
A program that will generate images with random shapes and background colours. Can be customized and generated in bulk.
generative-art numpy opencv python threading tkinter
Last synced: 11 Apr 2026
https://github.com/allanreda/telco-customer-churn-predictor-app
A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on Google Cloud App Engine. The app allows users to input customer data and receive predictions on churn risk to support business decision-making.
app-engine data-visualization deployment google-cloud gradio hyperparameter-tuning logistic-regression machine-learning numpy pandas scikit-learn
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https://github.com/bunu23/image-classification
This repository contains a notebook implementing a Convolutional Neural Network for multi-class image classification using transfer learning with a pre-trained ResNet-50 model. Covers dataset handling, model architecture customization, training, evaluation, fine-tuning, and external image prediction.
keras matplotlib numpy pil python tensorflow
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https://github.com/matbesancon/kaggle-digit-recognizer
Some tests with the Kaggle Digit Recognition challenge
image-processing kaggle kaggle-digit-recognizer machine-learning mnist-dataset numpy pandas python scikit-image scikit-learn
Last synced: 11 Apr 2026
https://github.com/bhawnamehbubani/advanced-zomato-restaurant-clustering-and-sentiment-analysis
This project leverages this data to perform clustering and sentiment analysis, providing actionable insights for customers and business growth.
matplotlib-pyplot nltk numpy pandas seaborn sklearn wordcloud
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https://github.com/andersoncrs/prediccion_precio_vehiculos_statsmodels
Este proyecto utiliza un modelo de regresión lineal para predecir el precio de vehículos basándose en sus características principales. El análisis incluye la definición del problema, exploración y limpieza de datos, conversión de variables categóricas a numéricas, evaluación de correlaciones y entrenamiento del modelo.
analisis-de-datos analisis-exploratorio-de-datos matplotlib numpy seaborn statsmodels visualizacion-de-datos
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https://github.com/patilsukanya/assignment-07-clustering-q2-crime
Used libraries and functions as follows:
clustering-algorithm dbscan eda groupby-method matplotlib-pyplot numpy pandas python scatter-plot sklearn standard-scaler
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https://github.com/emhash/numpy-tutorial
Just simple tasks of practice of NumPy library of python
numpy numpy-library numpy-tutorial python
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https://github.com/mani-prakash-n-r/stock_market_prediction_system
This project uses LSTM networks to predict stock prices based on historical data, providing insights for informed investment decisions..LSTM, NumPy, Scikit-Learn, Matplotlib, yfinance and TensorFlow
lstm matplotlib numpy python sckiit-learn tensorflow yfinance
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https://github.com/saliola/nonnegative_integer_matrices
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https://github.com/matiassenia/modelo-prediccion-temperatura
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adam-optimizer machine-learning numpy python python3 tensorflow
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https://github.com/project54321/stocksniper
"An interactive Stock Dashboard that visualizes historical prices, calculates key financial metrics, displays fundamental statements, and aggregates the latest news for any ticker — all in a sleek, easy-to-use Streamlit interface."
alphavantage finance numpy pandas plotly pypi python stock-market stocknews streamlit
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https://github.com/djdurga/google_play_store_apps_analysis
This data analysis project focuses on exploring and understanding the Google Play Store Apps dataset.
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https://github.com/chanmeng666/advanced-neural-network-applications
Practical implementations of perceptron and linear neuron models for classification and regression, with mathematical analysis and visualizations in Jupyter notebooks.
classification data-analysis data-science educational gradient-descent jupyter-notebook linear-neuron machine-learning matplotlib neural-network neural-networks numpy perceptron python regression
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https://github.com/apfirebolt/numpy-and-pandas-examples
Some examples and sample datasets to learn numpy, pandas and other data science libraries in Python
data-analysis jupyter-notebook numpy pandas python
Last synced: 17 Apr 2026
https://github.com/sofiakhutsieva/analytical_report_for_hr_department
Подготовка аналитического отчета (SQL) (Проект в skillbox), 2020 г.
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Explode list/tuples in columns
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https://github.com/mramshaw/intro-to-ml
Intro to Machine Learning - Pattern Recognition for Fun and Profit
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https://github.com/ikbalcaus/HandSketch
Drawing on Canvas with Hand Gestures + AI for Letter Recognition
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https://github.com/dmarks84/ind_project_obesity-multi-class-classification--kaggle
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https://github.com/mohamed-taha-essa/hands-on-machine-learning-sikitlearn
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https://github.com/pavanreddy565/infosys_python_for_datascience
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https://github.com/chokzb/covid19_vaccination_analysis
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Return a new ndarray filled with linearly spaced values over a specified interval along one or more ndarray dimensions.
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A machine learning project that predicts housing prices in California using regression techniques. This project includes comprehensive exploratory data analysis, feature engineering, linear regression modeling, and an interactive Streamlit web application for making predictions.
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https://github.com/faizantkhan/numpy
NumPy Practice Repository Dive into the world of numerical computing with our collection of NumPy exercises. Perfect for beginners and seasoned programmers alike, this repository offers a range of challenges to sharpen your array manipulation and data analysis skills.
data-science library machine-learning numpy numpy-arrays numpy-library numpy-python outlier outlier-detection python pythonlibrarires tutorial
Last synced: 21 May 2026
https://github.com/ecrows/flippy
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https://github.com/arsalan-dev-engineer/ai-repository
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https://github.com/alexquar/whatisthatdog
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https://github.com/pramodyasahan/model-selection
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machine-learning modelselection numpy pandas python regression scikit-learn
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https://github.com/chaudharypraveen98/lungcancerdetection
To distribute the work of doctors and process the large amount of data to produce accurate results on the go
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https://github.com/theashishmavii/intelligent-crash-detection-and-emergency-notification
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artificial-intelligence computer-vision deep-learning geolocation geopy keras machine-learning matplotlib numpy opencv pandas python tensorflow twilio vgg16
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https://github.com/reputed-artist/liver-disease-prediction-using-ensemble-machine-learning-method
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https://github.com/matheusafonseca/c111
Este repositório é dedicado ao armazenamento e organização dos códigos desenvolvidos na disciplina C111 - Análise de Dados, oferecida pelo Instituto Nacional de Telecomunicações (INATEL).
data-analysis matplotlib numpy pandas python
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https://github.com/gkannan-codes/habitableexos
With Earth’s habitability under strain, we ask: which known exoplanets could humans live on? Using NASA’s Exoplanet Archive, we score planets 0–1 (1 ≈ Earth) from five Earth-normalized features to rank top candidates.
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https://github.com/abhi227070/wine-quality-prediction
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https://github.com/tolumie/exploratory-data-analytics-projects
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https://github.com/hitthecodelabs/weatherforecast-lstm
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https://github.com/aciluca/credit-approval-system
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data-science keras machine-learning numpy pandas python sklearn tensorflow
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https://github.com/aaaastark/framingham_hart_study_cohort
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https://github.com/f-ssemwanga/advanced-programming-york
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https://github.com/madhurjain/carnd-traffic-sign-classifier-project-2
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https://github.com/naveen88112/final_education
Student Performance Prediction This project examines the student performance data, pre-processes the features, and implements machine learning methods (Random Forest) for the forecasting of final grades. The data is subjected to exploratory data analysis (EDA) and feature engineering prior to model training and assessment.
data-preprocessing exploratory-data-analysis machine-learning model-evaluation numpy pandas python
Last synced: 11 Apr 2026
https://github.com/sohan181204/airline-ticket-price-analysis
The analysis of airline ticket prices explores the dynamic and competitive nature of the aviation industry in India. With rapid economic growth and increasing air travel demand, understanding ticket price trends is crucial for airlines, passengers, and policymakers.
Last synced: 11 Apr 2026
https://github.com/dmarks84/coursework_project_text-mining-spam-analysis
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classification databases eda nlp numpy pandas python scikit seaborn sentiment-analysis statistics supervised-ml text-mining unsupervised-ml visualization
Last synced: 11 Apr 2026
https://github.com/jbalooshie/movies-etl
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data-analysis data-science jupyter-notebook numpy pandas postgresql postgresql-database python sqlalchemy
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https://github.com/arnauog/ironhack_data_analytics
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data data-science data-visualization guide jupyter jupyter-notebook machine-learning matplotlib notes numpy pandas pandas-dataframe python seaborn
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https://github.com/ansh-info/industrial-scale-penicillin-simulation
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https://github.com/linsanity03/football_prediction
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https://github.com/amnydv17/landmark-detection
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https://github.com/amiriiw/text_classification
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Last synced: 11 Apr 2026
https://github.com/ebadshabbir/logistic_regression-binomial-
Logistic Regression on Social Network Ads Dataset This project applies Logistic Regression to predict whether a user will purchase a product based on their age and estimated salary, using the Social Network Ads dataset. The data is split into training and test sets, with feature scaling applied for normalization.
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Last synced: 11 Apr 2026
https://github.com/costopoulos/ntua-telecommunications
:radio: :telephone_receiver: NTUA ECE Telecommunications Course Code & Report
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Last synced: 20 Apr 2026
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In the conventional hiring process, candidate applications are met with limited assessment, leaving the crucial task of evaluating suitability to recruiters. ZKConnect disrupts this norm by introducing a transformative approach.
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Last synced: 11 Apr 2026
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Last synced: 11 Apr 2026
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Zero To Hero
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Streamlit app that parses Torn Add Listing text, matches items with a custom dictionary, fetches market data via the public API, and generates KPIs and price recommendations using a modular Python analytics pipeline.
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https://github.com/aminkhavari78/text-generation-with-lstm-recurrent-neural-networks-in-python-with-keras
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https://github.com/zhanziyuan/pixelpuzzle-web
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Last synced: 11 Apr 2026
https://github.com/richardbmk/datascience_machinelearning
projects related with data science and machine learning projects.
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Last synced: 11 Apr 2026
https://github.com/hariprasath-v/av-dataverse-hack---insurance-claim-prediction
Create a machine learning model to predict if the policyholder will file a claim in the next 6 months or not based on the set of car and policy features.
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https://github.com/jagroop2001/learning-numpy
Learning NumPy complete the exercise
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https://github.com/pb319/california_house-price-prediction
This is going to be my first end to end ML project implementation covering all required stages taking guidence from book called "Hands On Machine Learning".
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NASA Space Apps Challenge Hackathon
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