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/aqueeqazam/machine-learning-using-scikit
This repository contains all of the algorithms used to train the machine learning models using the Scikit library.
Last synced: 04 May 2026
https://github.com/alphan26/optimal-logistics-locator
This is a project in which we estimate the biomass avaibility of places due to their index and determine the optimal preprocessing depot and biorafinery in Gujarat, India
numpy pandas python sckit-learn
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https://github.com/psgebeline/b2_plotter
A simple Python package for use by Belle II analysts to make various plots out of pandas dataframes and numpy arrays.
jupyter-notebook matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python uproot visualization-tools
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https://github.com/sofiakhutsieva/analytical_report_for_hr_department
Подготовка аналитического отчета (SQL) (Проект в skillbox), 2020 г.
analytics matplotlib numpy pandas psycopg2 seaborn sqlalchemy
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https://github.com/isabelacaldeira/chutelibre
Crashing into code. Here is a physics problem about free fall solved with python!
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Machine learning based air quality index prediction using environmental and pollutant data to classify and forecast pollution levels.
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Advance your skills and start your career here, by taking the online courses on Intuidemy.
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Serviceability assessment as per BS 6472 for human exposure to vibration in buildings Vibration sources other than blasting
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https://github.com/fabricioarendtorres/streamauc
Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..
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https://github.com/emhash/machine-learning-and-ai
Personal tasks or codes of Machine Learning and Artificial Intelligence. Practice codes and projects of Ml/AI will be share here.
ai datasets ipynb jupyter-notebook keras linear-regression logistic-regression machine-learning machine-learning-algorithms numpy opencv pandas python seaborn sklearn tensorflow
Last synced: 05 Jan 2026
https://github.com/juzershakir/predicting_boston_housing_prices
Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
bias-variance boston-housing-price-prediction data-exploration decision-tree-regression gridsearchcv k-fold machine-learning matplotlib mlfnd model-evaluation model-validation numpy pandas python3 r2-score sklearn supervised-learning udacity-nanodegree
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Predicting Boston Housing Prices using supervised Machine Learning algorithms
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Desenvolver uma dashboard para análise do mercado financeiro utilizando Python e Power BI
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https://github.com/kostadinlambov/bitcoin-and-stock-market-correlation
This study uses a quantitative research design to analyze the relationship between Bitcoin prices and the stock market over the past five years with the S&P 500 Index serving as a proxy for the stock market.
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https://github.com/bilgenurbekar/turkishcyberbullying
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https://github.com/lmizner/codecademy_life_expectancy_gdp
Utilize understanding of data visualization to analyze and plot data about GDP and life expectancy
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https://github.com/mahmoudnamnam/superstore-analysis
This project explores the SuperStore dataset to uncover insights into sales, profit, and customer behavior. It identifies key trends, regional variations, and product performance, using data analysis and machine learning techniques to guide business strategy and optimize performance.
clustering data-analysis data-science data-visualization geopandas jupyter-notebook machine-learning numpy pandas plotly regression seaborn sklearn
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https://github.com/athari22/mean-normalization
Mean Normalization
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https://github.com/iamwatchdogs/retail-insights-from-superstore-data
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https://github.com/rohitinu6/image_cartoonify
To Cartoonify an Image using opencv-python
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https://github.com/RedInfinityPro/AI_projects
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https://github.com/ola-kaznowska/summer-programming-camp-gp-travel-2024
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The system leverages the Python programming language and several powerful libraries for image processing and face recognition. The ultimate goal is to provide a more efficient, accurate, and user-friendly attendance tracking solution.
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https://github.com/eryks1999/titanic-project
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https://github.com/badranalyst/e-commerce-customer-analysis-data-science-foundations-case-study
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https://github.com/sairupeshl/portfolio-risk-calculator
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https://github.com/hghyhghy/notebook
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https://github.com/sandip2512/play-store-app-review-analysis
EDA on Play Store apps and user sentiment reviews
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