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: 2026-02-06 00:23:20 UTC
- JSON Representation
https://github.com/aaaastark/graph-convolution-network-with-dimensional-redaction-and-differential-algorithms-python
Graph Convolution Network GCN with Dimensional Redaction and Differential Algorithms using Python
cora differential-evolution dimensionality-reduction gcn gcn-architecture ipython matplotlib networkx numpy pandas pubmad pymoo python sklearn stellargraph tensorflow
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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.
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Megaline is a telecom operator and it offers its clients two prepaid plans, Surf and Ultimate. The commercial department wants to know which of the plans brings in more revenue in order to adjust the advertising budget.
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This project uses machine learning to predict whether a loan applicant will repay their loan. The project uses a dataset of historical loan data from PeerLoanKart, a peer-to-peer lending platform.
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https://github.com/18mahi/digital_cave
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https://github.com/adriantomin/bulldozer-price-prediction
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data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn
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https://github.com/eshansugeesh/fico-score-loan-default-modeling-project
Credit risk assessment using FICO score segmentation, loan default modeling, discretization techniques, and log-likelihood evaluation for predictive analytics in financial services.
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Principio de Superposición de Coulomb y Ley de Biot-Savart
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https://github.com/matheusafonseca/c111
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data-analysis matplotlib numpy pandas python
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https://github.com/limix/ndarray-listener
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https://github.com/manoj-kumar-c/data_analyst_projects
Live Data Analyst Projects.
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https://github.com/lmizner/codecademy_airline_analysis
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data-analysis data-science eda google-colab machine-learning numpy pandas python scikit-learn scikit-learn-python
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numpy pandas python scikit-learn
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https://github.com/zuhairzia/titanic-survival-project
This is a Titanic Survival Prediction Model developed using Python, Pandas, Scikit-learn, and Jupyter Notebook. The model predicts whether a passenger survived the Titanic disaster based on features such as age, gender, and passenger class.
csv-dataset flask jupyter-notebook matplotlib numpy pandas pandas-library python scikit-learn seaborn streamlit
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https://github.com/mayankfreelancer/advanced-sales-analytics-dashboard-power-bi-
This interactive Power BI dashboard provides a comprehensive analysis of sales data across regions, categories, and time periods. The project aims to uncover key trends in total sales, profit, quantity sold, and product performance, using advanced visualizations and forecasting techniques. 🛠 Tools & Techniques Used: Power BI
dashboard data-science data-visualization excel numpy pandas powerbi python sales-analysis sql
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https://github.com/florianwoelki/salary_linear_regression
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matplotlib numpy pandas scikit-learn
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https://github.com/crvargasm/metnumun2021i
Universidad Nacional de Colombia - Métodos Numéricos ~ Grupo 1 2021-I
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https://github.com/shreshthvashisht/bank-loan-case-study
Risk Analytics using Python
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https://github.com/vineet416/eda-travel
EDA Travel data by PW Skills Data Analytics Course.
data-encoding data-preparation data-preprocessing data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas plotly python sklearn-library train-test-split train-test-using-sklearn
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https://github.com/akhil-krishnan-r/super_market_analysis
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https://github.com/slovnicki/matematicki-softver
homeworks and projects for Mathematical Software course
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https://github.com/akashparley/ipl-data-analysis
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analytics data-visualization excel metplotlib numpy pandas python seaborn tableau-dashboards
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financial-analysis jupyter-notebook matplotlib numpy pandas-python seaborn
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https://github.com/jsd115/tensorflow_bankfrauddetection
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https://github.com/mehediehteshum/minesweeper
Building classic 'Minesweeper' game from scratch using Pygame with VS Code.
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Module 6: Python APIs
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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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Real-time hand gesture recognition using computer vision and deep learning. Collect gesture images, train a model with Google Teachable Machine, and classify gestures live for applications like drone control or human-computer interaction.
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https://github.com/brendandasilva/applieddatascience
4 projects from Applied Data Science
data-science numpy pandas python
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https://github.com/alfastrek/textinsight-pro
Webscraper with Natural Language Processing
beautifulsoup jupyter-notebook nltk numpy pandas python webscraping
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https://github.com/satvikpraveen/numpymasterpro
A hands-on, production-ready toolkit to master NumPy — from first principles to real-world applications. Includes modular Jupyter notebooks, reusable utility scripts, cheatsheets, and advanced projects like K-Means clustering from scratch.
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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/alexkhype/04python-carpricepredictor
Modelo de machine learning para predecir el valor de mercado de autos usados, optimizando precisión y eficiencia.
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Last synced: 30 Dec 2025
https://github.com/raveenaross/bulldozer-price-prediction
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https://github.com/nimaabediforud/heart-disease-prediction
The project highlights the end-to-end workflow of data preprocessing, model building, evaluation, and comparison for a healthcare prediction task.
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https://github.com/ricardorobledo/spamemailclassification
Spam email classification using machine learning (Random Forest, SVC, Logistic Regression, etc.) with data balancing techniques (SMOTE, BorderlineSMOTE, ADASYN). Final calibrated Random Forest model achieves ROC-AUC 0.982 and PR-AUC 0.979 on the Spam Email Classification dataset.
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https://github.com/massimilianovisintainer/diabetics-prediction-model
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https://github.com/cezlul/analyse-ventes-immobilier
Solution ML d'analyse immobilière parisienne : classification automatique appartements vs commerces (K-means, 91%) et prédiction prix (régression, R²=0.98) sur 26K transactions. Valorise portefeuille 169M€ avec recommandations stratégiques data-driven.
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https://github.com/florasteve/ml-foundations-day1
Day-1 ML foundations focused on linear algebra: vectors, dot products, norms, angles, projections, and basic matrix operations—implemented in a Jupyter notebook with NumPy/Matplotlib, clear 2D visuals, a self-quiz, and a brief reflection. Emphasizes how these math primitives map to core ML/AI ideas (similarity, least squares, geometric transforms).
ai data-science education jupyter-notebook linear-algebra machine-learning matplotlib numpy python3 terminal-mac tutorial visualization vscode
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https://github.com/audy21/datacamp
Learning portfolio documenting my progress, while taking Data Analyst & Data Science certifications from DataCamp.
data-analysis data-science machine-learning matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/rebeccamorolong/mtn-customer-churn-prdiction
This project addresses a real-world business problem: predicting customer churn for MTN, a major telecommunications company. Customer churn significantly impacts profitability, and accurate predictions enable targeted retention efforts.
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https://github.com/nicolashaubricht/analise-dados-pib-per-capita
Este projeto tem como objetivo a análise de dados sobre as variações do PIB per capita em diversos países ao longo dos anos.
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