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/subhas-pramanik-09/mediscan-ai
A smart and scalable ML-powered health prediction system that can help detect the risk of three major diseases: Diabetes + Heart Disease + Parkinsons Disease
jupyter-notebook logistic-regression machine-learning numpy pandas scikit-learn streamlit svm-classifier
Last synced: 09 Apr 2026
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
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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
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https://github.com/pransu-code/marathonprediction
Case-based Time Prediction for Recreational Marathon Runners
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https://github.com/pzuehlke/ml-with-numpy
Basic ML algorithms using only NumPy
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https://github.com/massimilianovisintainer/house-price-model-prediction
House price prediction model using XGBoost.
machine-learning models numpy pandas python sklearn xgboost xgboost-regression
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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.
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https://github.com/trivediayush/python-bootcamp
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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/csengupta1101/python-concepts
All basic to advanced Python Concepts Will be covered here in depth.
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A nix derivation for numpy-financial - https://pypi.org/project/numpy-financial/#files
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https://github.com/prat555/python_practice
These files contain the Python exercises I completed as practice.
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https://github.com/redinfinitypro/redditbot
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dash data-display data-visualization numba numpy pandas plotly postgres rising-storm-2-vietnam sqlalchemy timescaledb
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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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Last synced: 13 Apr 2026
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.
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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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Unveiling Insights: A Deep Dive into COVID-19 Death Trends in USA
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https://github.com/abdelmajidlh/fifa19
Ce projet conciste à analyser et visualiser les données FIFA19. Il est destiné aux jeunes data analystes ou ceux et celles qui souhaite apprendre la programmation Python. Le projet sera mis à jour au fur et à mesure.
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https://github.com/rtmigo/markov_walk_py
🔢 Python module that calculates probabilities for a random walk in 1-dimensional discrete state space
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Last synced: 21 May 2026
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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Last synced: 02 Apr 2026