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: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/makoczoro/credit-default-risk-analysis-eda
This repository contains the detailed EDA Analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices
bivariate-analysis correlation-analysis data-preprocessing exploratory-data-analysis exploratory-data-visualizations matplotlib numpy pandas seaborn univariate-analysis
Last synced: 20 May 2026
https://github.com/chaman2003/parkinson-detection
Al-powered Parkinson's Disease Detection System leveraging smartphone sensors (voice and motion) for real-time analysis. Combines ensemble machine learning models (SVM, Random Forest, Gradient Boosting, XGBoost) with advanced feature extraction to provide accurate early detection, sub-second processing, and detailed reporting.
ai flask html-css-javascript librosa ml numpy pandas pydup python scikit-learn
Last synced: 08 Apr 2026
https://github.com/pransu-code/marathonprediction
Case-based Time Prediction for Recreational Marathon Runners
gbm machine-learning-algorithms numpy pandas python random-forest regression-models scikit-learn seaborn sklearn
Last synced: 07 Mar 2026
https://github.com/pzuehlke/ml-with-numpy
Basic ML algorithms using only NumPy
deep-learning machinelearning numpy
Last synced: 20 May 2026
https://github.com/massimilianovisintainer/house-price-model-prediction
House price prediction model using XGBoost.
machine-learning models numpy pandas python sklearn xgboost xgboost-regression
Last synced: 20 Jan 2026
https://github.com/redinfinitypro/circuitpythonprojects
Rating: (4/10) This Python script simulates circuits using PySpice, importing libraries like NumPy and Matplotlib. It defines voltage divider, diode circuits, subcircuit definitions, DC sweep analysis, and simulates each circuit using the simulator.
matplotlib numpy os pyspice sys
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https://github.com/brenofariasdasilva/dagster-heart-disease-risk
Dagster Heart Disease Risk Model.
dagster heart-disease jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 07 Apr 2026
https://github.com/viivianreine/carbon-footprint-calculator-using-advanced-machine-learning-cnn-
🌍 An AI-powered Carbon Footprint Calculator built with Python, TensorFlow (CNNs), and Streamlit. Delivers real-time emission predictions, visual insights, and country-wise comparisons from user lifestyle data. Adaptive, scalable, and designed to drive sustainability through intelligent software solutions.
api-based-ai-integration cloud-ready convolutional-neural-networks data-featuring data-preprocessing ipcc keras keras-tensorflow matplotlib model-optimization numpy pandas python realtime-database seaborn streamlit streamlit-deployment streamlit-webapp supervised-machine-learning tensorflow
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https://github.com/rahulraimau/credit-card-fraud-detection
This project develops a real-time credit card fraud detection system using the Kaggle Credit Card Fraud Detection Dataset, containing 284,807 transactions with 31 features (Time, Amount, V1-V28, Class).
imbalanced-learn- matplotlib numpy pandas python pytorch scikit-learn- tensorflow
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https://github.com/csengupta1101/python-concepts
All basic to advanced Python Concepts Will be covered here in depth.
data-science django dsa-algorithm flask machine-learning numpy pandas python rest-api software-development
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https://github.com/udayraj04/facialemotion_musicrecommendations
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https://github.com/pythoncoderunicorn/linear-algebra-python
Linear Algebra in Python
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This repository contains the code for a machine learning model aimed at predicting housing prices. The model is based on the RandomForestRegressor algorithm from the scikit-learn library and utilizes feature selection, preprocessing, and pipeline techniques for improved performance.
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https://github.com/annygutierrez/data-preprocessing
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Sales data analysis using Python and Power BI
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Notes while learning to code in python
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This repository demonstrates the acquisition of advanced Python programming skills through structured exercises and projects, with a strong emphasis on NumPy for array manipulation, slicing, masking, and reshaping
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https://github.com/thekartikeyamishra/aipoweredmarketingassistant
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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/itzzmeakhi/ab-testing
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https://github.com/rosa-lpz/machine-learning-zoomcamp-2025
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The Credit Card Fraud Detection project aims to identify fraudulent transactions from a dataset of credit card transactions. The project addresses the challenge of class imbalance and employs advanced machine learning techniques to build an effective fraud detection model.
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✨DataSpark✨ is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.
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This repository is created for sending the IBM Data Science Lab and will be used primarily for the Capstone project.
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Данный скрипт был создан с целью поиска субъективно интересных серий ТВ-шоу "Мужское Женское"
bs4 clear-output fuzzywuzzy ipython ipython-display jupyter jupyter-notebook jupyter-notebooks matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python requests time youtube youtube-search
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Uses haarcascades to recognize facial features, patterns and performs feature extraction followed by labelling the data to recognize the faces on a live webcam.
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This repository contains various NN codes converted from Matlab to Python
cv2 deep-learning deep-neural-networks educational matplotlib neural-network neural-networks neuralnetwork neuralnetworks numpy python sklearn tensorflow tensorflow2
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This Python project automates grading of handwritten or printed answer sheets using OCR (Optical Character Recognition). It extracts student answers from scanned images, compares them to an answer key, and generates a detailed report with class statistics.
numpy ocr-recognition opencv pandas python3 tesseract
Last synced: 27 Jun 2025
https://github.com/baschin1103/principal_component_analysis
In this repository you find a python program and the prints and 3D-visualization of it. After the KNN-Classification I wanted to know which variables have the most relevance for the results. One approach for this is the Principal-Component-Analysis (PCA). More details in the python program as comments.
3d-printing labelencoder matplotlib numpy pandas principal-component-analysis sklearn-library sqlalchemy standardization variable-importance
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https://github.com/moritzsalla/cci-advanced-visualization
Classwork for Mick Grierson's module at the Creative Computing Institute
matplotlib numpy openframeworks python tensorflow
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https://github.com/joeylemon/python-kmeans
an implementation of the K-means clustering algorithm in Python
k-means-clustering matplotlib ml numpy python
Last synced: 21 May 2026
https://github.com/mohammedsaqibms/planar_data_classification_with_onehidden_layer
This repository implements a simple neural network for binary classification of 2D planar data using Python and NumPy. It compares logistic regression with neural networks and includes code for forward/backward propagation, gradient descent, and decision boundary visualization.
backpropagation binary-classification gradient-descent logistic-regression machine-learning neural-networks numpy python3
Last synced: 10 Jul 2025
https://github.com/rajesh9943/web-scraping-analysis-of-top-us-company-revenue-growth-in-2023
Explore the landscape of US business growth in 2023 with our dynamic project, 'Web Scraping for US 2023 Revenue Growth.' Utilizing advanced web scraping techniques, we unveil insights into the top companies driving economic expansion.
cleaning-data data data-analysis data-visualization manipulation numpy pandas pre-fill
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https://github.com/alejoduarte23/si_bayesianmixturemodel
Implementation of a two-stage fast Bayesian system identification for separated Modes. This repository expands the usage of this technique by adding a mixture model fit to obtain modal parameters from the posterior distribution.
matplotlib numpy scikit-learn scipy
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https://github.com/khaja-shaik-21/heart-disease-prediction-system
This form allows users to enter key health details like age, blood pressure, cholesterol levels, and exercise results to predict the likelihood of heart disease. The data is submitted to the backend for processing, where a machine learning model provides a prediction. The form is styled for a clean and responsive user experience.
css3 flask-application git html5 logestic-regression numpy pandas python3 scikit-learn
Last synced: 12 Apr 2026
https://github.com/mkdirer/depression-data-analysis
This project analyzes a Kaggle depression dataset using data preprocessing, clustering, classification, and outlier detection techniques. Python libraries like pandas, numpy, matplotlib, seaborn, and scikit-learn are used to extract insights.
classification clustering matplotlib numpy pandas scikit-learn seaborn vizualization
Last synced: 12 Apr 2025
https://github.com/shreeparab1890/laptop-price-predictor
This notebook is trying to build a model which will predict the price of the laptop based on the given specifications.
machine-learning-algorithms matplotlib numpy pandas price-prediction python scikit-learn sklearn
Last synced: 06 Apr 2026
https://github.com/RedInfinityPro/RedditBot
Rating: (7/10) This script collects, preprocesses, trains models, processes images, and handles files, handling data from Reddit, image processing, and file handling.
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csv-files jupyter-notebook matplotlib numpy python tensors
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https://github.com/vipinchaudhary31122002/cardiopredict
CardioPredict is a smart, ML-powered application that helps analyze your risk of heart disease using interactive forms, clinical features, and trained classification models.
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https://github.com/mhmudfzli/loan-approval-prediction
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
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https://github.com/ahmedabdalkreem/sentiment-analysis
This project performs sentiment analysis on a Twitter dataset, aiming to classify tweets into positive, negative, or neutral sentiments. Sentiment analysis is crucial for understanding public opinion on various topics, brands, or events based on social media data.
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clustering-algorithm kmeans-clustering matplotlib numpy python
Last synced: 16 May 2026
https://github.com/themihirmathur/machine-failure-predictor
The 'Machine Failure Predictor' is a web application designed to enable predictive maintenance for industrial equipment. Leveraging machine learning techniques, this application predicts whether equipment will fail and identifies the type of failure based on key process parameters.
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Last synced: 10 Apr 2026
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Amazon Product Sales Data Analysis: Trends and Insights
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https://github.com/omarsaad21/credit-train-data-science-project
This a full web application to predict the credit score of clients plus I did many visulizations to express many insights in chart
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Unveiling Insights: A Deep Dive into COVID-19 Death Trends in USA
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An over-engineered website for aligning multiline strings to a common character with PyScript.
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Análise dos dados do Procon, período de 2013 à 2016.
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https://github.com/ksprugevics/fractals
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YouTube Data Analysis using Python — uncovering trends, engagement patterns, and correlations between likes, comments, views, and categories to understand what drives content success.
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https://github.com/nskamaleshmani/exoseeker
🌌 Discover and analyze exoplanets with ExoSeeker, a tool designed for efficient world-hunting using Python and data visualization techniques.
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https://github.com/bishopce16/surfs_up
An analysis of weather data to determine opening of an ice cream and surf shop using SQLite, SQLAlchemy, and Python.
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https://github.com/anselmoo/useful-math-functions
useful-math-functions for Optimization, Benchmarking, Visualizing, and more ...
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https://github.com/nishthasharma-22/binary-black-hole-merger-gravitational-waves-simulation
Repository of all astronomy related projects, including: Gravitational Waves graph from binary black hole merger
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https://github.com/shreyasmehta05/sortsync
A custom sorting algorithm combining parallel merge and count sort, with detailed performance comparisons against standard sorting techniques.
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https://github.com/apuravdivekar2032/real-estate-price-prediction
A real estate price prediction website developed using Python with Numpy and Pandas for data cleaning Matplotlib for data visualization and scikit-learn for model building, featuring a Flask server to handle HTTP requests and integrates a user-friendly UI built with HTML, CSS, and JavaScript
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https://github.com/ohyeasabhi/signature-recognizer
Este projeto desenvolve um sistema para verificar a similaridade de assinaturas usando redes neurais. Ele utiliza o Triplet Loss para criar embeddings, focando na avaliação biométrica com o dataset CEDAR. 🖊️🌐
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Machine Learning codes and concepts, including algorithms like K-means, PCA, and Linear Regression, with Python libraries (NumPy, Pandas, Matplotlib).
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