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/ashishsingh789/traffic_accident_analysis
Analyzed traffic accident data to identify patterns related to road conditions, weather, and time of day. Visualized accident hotspots using heatmaps and bar plots.
excel matplotlib numpy pandas pandas-dataframe python seborn
Last synced: 11 Apr 2026
https://github.com/sanchariii/health-assist-1
Health Assist web app uses the Streamlit framework to help users identify potential diseases. Simply input your symptoms, and the system will predict whether you have diabetes, heart disease, or Parkinson's disease. The system is designed to be quick and convenient, promoting early detection and timely medical intervention.
numpy pandas pickle streamlit-webapp svm-model
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https://github.com/nikhil-donthusaram/heartdiseaseprediction
Heart Disease Prediction App is a machine learning web application that predicts the likelihood of heart disease based on user medical inputs. Built using a Decision Tree Classifier and deployed with Streamlit for an interactive, user-friendly interface.
data-analysis descision-tree joblib jupyter-notebook machine-learning matplotlib numpy pandas python3 seaborn sklearn streamlit vscode
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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/ritwika-das-gupta/flight_price_prediction
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https://github.com/junaidsumsaal/advanceparkingsystem
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https://github.com/moustafamohamed01/car-price-prediction
Car Price Prediction using Linear Regression A machine learning model that predicts car prices based on features like name, company, year, kilometers driven, and fuel type. Built with Linear Regression and deployed as a Streamlit web app.
data-science jupyter-notebook linear-regression machine-learning numpy pandas python sickit-learn sklearn streamlit
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https://github.com/reputed-artist/liver-disease-prediction-using-ensemble-machine-learning-method
Master degree project for liver disease prediction. i have improved the code reaching its accuracy to 98-99% from 70%.
jypyternotebook lgbmclassifier machine machine-learning machine-learning-algorithms machinelearning machinelearning-python machinelearningprojects model-training-and-evaluation numpy pandas prediction python randomforestclassifier svm-classifier xgboost-classifier
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https://github.com/nauxqouh/python-for-data-science-labs
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https://github.com/theashishmavii/intelligent-crash-detection-and-emergency-notification
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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
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https://github.com/pakagronglb/istanbul-restaurant-tips-prediction
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https://github.com/biasandrade/rede-neural-do-zero-classificacao-binaria
🧠 Rede Neural Artificial construída do ZERO (só NumPy) para detectar fraudes em transações | Forward/Backward Propagation | Sigmoid | Gradiente Descendente
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https://github.com/harmanveer-2546/wafer-fault-detection
The goal is to eliminate manual work in identifying faulty wafers. Opening and handling suspected wafers disrupts the entire process. False negatives result in wasted time, manpower, and costs.
clustering data-transformation feature-selection machine-learning matplotlib numpy pandas python random-forest roc-auc-curve roc-auc-score seaborn sklearn svc xgboost
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https://github.com/bearddan2000/python-web-3d-matplotlib-vertical-bar-graph
A demo of creating a 3d vertical bar graph.
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https://github.com/gmcgibbon/udacity-dlnd-project-1
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https://github.com/bilalm04/autonomous-lane-detection
An autonomous lane detection system leveraging OpenCV to process images and videos, accurately identifying lanes and providing key visualizations.
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https://github.com/ebadshabbir/decision_tree_algorithm
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https://github.com/mohamed-taha-essa/hands-on-machine-learning-sikitlearn
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https://github.com/waynewbishop/bishop-algorithms-quiver-package
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https://github.com/rnuv/artificial-neural-network
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https://github.com/l-gre/tradefx-ai
A Python-based project exploring algorithmic trading strategies, including backtesting, real-time data integration, and predictive modelling with TensorFlow and Keras. Key topics include technical indicators, risk management, and leveraging AWS and broker APIs for automated trading
algorithmic-trading aws backtesting broker-api keras machine-learning matplotlib numpy pandas portfolio-optimisation python real-time-data-integration risk-management technical-indicators tensorflow
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https://github.com/anubagre/predicting-price-of-pre-owned-cars
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data-science machine-learning numpy pandas price-prediction python seaborn sklearn streamlit
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https://github.com/rifkyiqbal52/data-analytics-and-visualization-projects
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https://github.com/sofiakhutsieva/analytical_report_for_hr_department
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https://github.com/f-ssemwanga/dab-dataanalysis
DAB Radio Data Analysis Application
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https://github.com/rggh/satchad
findthatbit.com + findthatbit.info
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https://github.com/mariam-zaidi/credit_risk_analytics
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https://github.com/nazwright/daria
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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.
Last synced: 11 Apr 2026
https://github.com/matiassenia/modelo-prediccion-temperatura
Proyecto de machine learning que utiliza TensorFlow para predecir temperaturas en grados Fahrenheit a partir de temperaturas en grados Celsius. Incluye un script de Python para entrenar el modelo y realizar predicciones, así como datos de entrenamiento y visualizaciones
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https://github.com/lijesh010/ml_project_data_preprocessing
The main objective of this project is to design and implement a robust data preprocessing system that addresses common challenges such as missing values, outliers, inconsistent formatting, and noise. By performing effective data preprocessing, the project aims to enhance the quality, reliability, and usefulness of the data for machine learning.
data-cleaning data-exploration data-preprocessing machine-learning numpy pandas-python python scikit-learn
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https://github.com/sultanazhari/prediction-model-of-customers-leaving
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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.
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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.
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https://github.com/abhijeet-bhambere/exploratory_data_analysis
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https://github.com/aksoni07/movie-recommendation
A hybrid movie recommendation system designed to deliver personalized and accurate suggestions by combining user preferences, item attributes, and collaborative patterns, ensuring a seamless and engaging experience.
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https://github.com/arthurdsant/dataanalysis-agricultural_raw_material
This Python project performs analysis and visualization of agricultural raw material price data using a Kaggle dataset. Based on Jupiter Notebook and Python.
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https://github.com/shamiul5201/selfie_app_features_application
OpenCV project to build skills in image processing: features include Cartoonify and Pencil Sketch effects in a Jupyter Notebook, blemish removal in a Python script, and chroma keying for videos. Perfect for exploring creative and practical computer vision techniques.
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https://github.com/audy21/datacamp
Learning portfolio documenting my progress, while taking Data Analyst & Data Science certifications from DataCamp.
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https://github.com/c-mohammed-zaid/python
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https://github.com/eljandoubi/genre_classification
Create an ML pipeline for Genre Classification using MLflow.
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https://github.com/theoldvalyria/python_projects
Проекты, направленные на анализ данных Python и АБ-тестирование.
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https://github.com/akashash01/random_forest
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Last synced: 01 Apr 2025
https://github.com/jakubfr4czek/apartment-prices-analysis
This repository contains an analysis of apartments prices in Krakow. It was made for "Rachunek prawdopodobieństwa i statystyka" (probability and statistics) course i took at AGH University of Science.
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Last synced: 04 May 2026
https://github.com/prashhhant213/customer-behavior-analysis-for-walmart-black-friday-sales
This project is a Walmart case study analyzing customer purchase behavior by gender and demographics to inform business decisions, especially around spending habits during events like Black Friday.
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Last synced: 06 Jan 2026
