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/caefleury/cis-ieee-difusion-model
Repositório teste para códigos do projeto de Modelo de Difusão do branch CIS-IEEE
docker docker-compose numpy python3 tensorflow
Last synced: 08 Apr 2026
https://github.com/vedanty3/bulldozer-price-prediction
A machine learning project aiming to build a machine learning model which could predict the sales price of bulldozer.
andrew-ng-machine-learning ensemble-machine-learning gridsearchcv jupyter-notebook machine-learning matplotlib numpy pandas python randomforestregressor randomizedsearchcv scikit-learn ztm
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https://github.com/chawthinn/car-price-prediction-regression-ml
This project predicts used car prices using regression models including Linear, Ridge, Random Forest, XGBoost, and LightGBM. It covers preprocessing, EDA, model evaluation, hyperparameter tuning, and model persistence using Scikit-learn and related libraries.
car-price-prediction lgbmregressor linearregression numpy pandas python scikit-learn xgbregressor
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https://github.com/poziloi/-image_processing-
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https://github.com/chandkund/image-classification-using-the-mnist-dataset
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computer-vision data-science machine-learning matplotlib numpy pandas python
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https://github.com/0eix/deepclassifier
DeepClassify - A Versatile Command Line Image Classifier
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https://github.com/anas436/analyzing-automobile-data-set-using-python
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https://github.com/raghavendranhp/airbnb-data-analysis
The Airbnb Data Analysis project focuses on analyzing Airbnb data using MongoDB Atlas, Python scripting, data preprocessing, visualization, and interactive geospatial insights. We delve into the world of property management and tourism to uncover trends, pricing variations, and location-based analysis.
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https://github.com/5hraddha/zyfra-gold-recovery-prediction
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https://gitlab.com/Makman2/scipy-steadystate
SciPy extension modules for general purpose steady-state solvers and optimizations for differential state-equations!
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https://github.com/thchilly/mlds102_py_exercises
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https://github.com/davityak03/sentence-paraphraser-checker-using-transformers
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https://github.com/mikma03/simulation_modeling
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https://github.com/omraj0/covid19-data-analysis
Analysis of COVID-19 infection rates in various countries, correlating them with factors such as GDP per capita and social support.
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https://github.com/iv4n-ga6l/Object_Detection_With_Background_substractor
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https://github.com/tabotcharlesbessong/python-errors
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https://github.com/shdrn2402/budget-analytics
Analyze a family's two-year spending in Israel to uncover trends, optimize budgets, and compare consumption patterns using Python, Pandas, and visualization tools.
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deep-learning explainable-ai grad-cam groq-api llm machine-learning matplotlib multimodal numpy pandas python pytorch scikit-learn seaborn streamlit
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parallel_radixsort from C++ for Python (Windows)
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https://github.com/seymencanates/pythonn
Here is my all personal educations , notes , basic apps I did. Here will be my backside for all supportive information about python I am gonna need.
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https://github.com/shreyavats23/sign_language_recognition
Sign Language Recognition using Deep Learning : ~ Built a model to recognize American Sign Language (ASL) for letters A–Z and digits 1–9 ~ Achieved ~89% validation accuracy using a Convolutional Neural Network (CNN) ~ Used data augmentation techniques to improve generalization ~ Visualized predictions to test the model on real samples
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https://github.com/hariprasath-v/machinehack_analytics_olympiad_2023
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https://github.com/priyanshulathi/cancer-diagnosis-prediction-model
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https://github.com/nellyndj52/breast-cancer-classification-ml
This project aims to build a machine learning models to predict whether a tumor is malignant or benign based on the Breast Cancer dataset. Various classification algorithms are tested, including Logistic Regression, Random Forest, and Support Vector Machine (SVM).
breast-cancer cancer dataset flask-api heroku-deployment lime machine-learning mlp-networks numpy perceptron-neural-networks pickle segmentation support-vector-machines svm
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https://github.com/alphacrypto246/insurance-charges-prediction
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machine-learning numpy pandas scikit-learn scikitlearn-machine-learning
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https://github.com/elijah-1994/modelling-airbnbs-property-listing-dataset
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data-science machine-learning numpy pandas plotly python pytorch sklearn
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https://github.com/ashkarin/rawimage
Read and write RAW images (or data arrays) without a headache.
image-processing imagej ndarray numpy raw-data raw-image readers writers
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https://github.com/dmarks84/ind_project_superstore-sales-time-series-analysis--kaggle
Independent Project - Kaggle Dataset-- I worked on the Superstore Sales Dataset, performing (as Part 1) data cleaning and preparation and exploratory data analysis. The main task was to make predictions for future sales based on time-series analysis, which is found in Part 2.
chloropleth data-modeling data-visualization eda linear-regression matplotlib numpy pandas python seaborn sklearn statistics statsmodels supervised-ml time-series-analysis
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https://github.com/navindafernando/heart-disease-prediction
Deploying the heart risk level predicting Regression model in a web application using Flask :white_flower:
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https://github.com/bassemhalim/webrtc-demo
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https://github.com/abeertechcamus/documentdata
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https://github.com/harmanveer-2546/campus-placement-prediction
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https://github.com/roluochke/real-estate-price-prediction-app
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https://github.com/tharushiimasha/python-practice
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https://github.com/caterinatasinato/python-projects
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https://github.com/yashaka/learncv
Toolset used in learning Computer Vision at R_D course
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https://github.com/vandanac20/advanced-real-estate-valuation-with-ensemble-regression-models
Advanced Real Estate Valuation with Ensemble Regression Models
machine-learning numpy pandas python sklearn
Last synced: 06 May 2026
https://github.com/harmanveer-2546/nba-homecourt-advantage-data-analysis
In this repo we're diving into NBA game data to explore the phenomenon of home court advantage.
analysis homecourt learning-curve linear-models logisticregression metrics model-selection nba nba-analytics nba-stats numpy pandas preprocessing seaborn sklearn standardscaler
Last synced: 06 Feb 2026
https://github.com/hellymodikalpesh/numpy
This repository is designed as a comprehensive resource for learning the NumPy library. It covers nearly all functions and features of NumPy, providing a thorough exploration of its capabilities for numerical computing and data analysis.
Last synced: 28 Jan 2026
https://github.com/pradeep31747/smartsuggest-personalized_product_recommendations
This project implements a personalized product recommendation system using machine learning techniques to enhance user experience and drive engagement.
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Last synced: 28 Jan 2026
https://github.com/adriantomin/bulldozer-price-prediction
Predicting the Sale Price of Bulldozers Using Machine Learning 🚜💰 This project uses machine learning to predict bulldozer sale prices based on historical data from the Kaggle Bluebook for Bulldozers competition. The goal is to minimize the RMSLE between actual and predicted prices.
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Last synced: 23 Jan 2026
https://github.com/shreshthvashisht/bank-loan-case-study
Risk Analytics using Python
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Last synced: 07 May 2026
https://github.com/hafaio/homeotopy
A python library for computing homeomorphisms between some common continuous spaces
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https://github.com/mosalem149/data-mining-assignments
That repo for data mining quizzes and tasks.
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https://github.com/pinedah/sleep-data-analysis-exercise
Análisis de un dataset médico sobre el sueño, explorando duración, calidad y factores relacionados. Incluye limpieza de datos, EDA y visualizaciones con Python (pandas, numpy, matplotlib, seaborn, scipy).
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https://github.com/eesunmoon/aml_project
[Project] Analyzing Fitness Patterns & Building Predictive Models
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https://github.com/bartosz-ziolkowski/social_data
Data analysis of San Francisco's crime data set from 2003 to 2018
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https://github.com/pushtogithub23/projectilemotion-simulation
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:black_square_button: Реализация на Питоне алгоритма поиска на изображении пустого прямоугольника максимальной площади.
algorithm empty-spot graphics numpy python python-image-library python-library rectangle-detection
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https://github.com/sanjaiveeran44/shopping-intent-analasys
This project predicts whether a visitor to an e-commerce website will make a purchase based on their browsing behavior. It includes data analysis, preprocessing, and machine learning modeling to understand online shopping patterns.
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https://github.com/athari22/investigating-netflix-movies-and-guest-stars-in-the-office
Apply basic Python skills in Introduction to Python and Intermediate Python by processing and visualizing film and television data.
data-analysis data-science data-visualization loop loops matplotlib matplotlib-pyplot netflix numpy office pandas python
Last synced: 11 Apr 2026
https://github.com/pratyush905/farecast-nyc-taxifare-predictor
Machine learning models to predict nyc taxi fare based on given dataset
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https://github.com/anarya22/accenture-north-america-data-analytics-and-visualization-job-simulation-on-forage
Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture. Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions. Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.
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https://github.com/sonaligill/olympics-analysis
The outcome of this project is an interactive streamlit web application that visualizes the analysis of Olympic data while rendering different aspects of Olympic history, compare country performances, and gain insights into athlete demographics.
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Last synced: 28 Jan 2026
https://github.com/armahdavi/data_analytics_statistics_plotting_pm_airborne_sampling
All codes for the data pipelines processing, statistical modellings, descriptive statistics and plot visualizations from airborne phase of Mahdavi et al. (2021) (Environmental Pollution) Project Miestone: 2018 - 2021
data-science data-visualization machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats statistics
Last synced: 13 Apr 2026
https://github.com/chandkund/predicting-diabetes-onset
The "Predicting Diabetes Onset" project aims to build a machine learning model that predicts whether an individual has diabetes based on various health-related features. The dataset used for this project includes attributes related to medical history and physical measurements.
deep-learning numpy pandas python seaborn sklearn-library sklearn-metrics visualization
Last synced: 13 Apr 2026