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/djdhairya/electronic-search-engine
bytesio countervector nltk numpy pandas pickel pillow sklearn streamlit
Last synced: 13 Apr 2026
https://github.com/shwetapardhi/assignment-1-q11--basic-statistics-level-1
Q11) Suppose we want to estimate the average weight of an adult male in Mexico. We draw a random sample of 2,000 men from a population of 3,000,000 men and weigh them. We find that the average person in our sample weighs 200 pounds, and the standard deviation of the sample is 30 pounds. Calculate 94%,98%,96% confidence interval?
confidence-interval normalization numpy pandas python scipy stats
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https://github.com/tralahm/kaggle-titanic-competition
Predicting Titanic Passenger Survival Using Machine Learning
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https://github.com/pedasoft-consult/house-price-prediction
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flask joblib matplotlib numpy pandas r2 random-forest regression seaborn sklearn
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https://github.com/dineshdhamodharan24/industrial-copper-modeling
It seems like you have a project that involves modeling industrial copper data using Python and several libraries such as pandas, numpy, and scikit-learn. This is a common and practical approach, as these libraries are widely used for data manipulation, analysis, and machine learning tasks.
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machine-learning numpy pandas polynomial-regression scikit-learn yfinance
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https://github.com/ellennewerkla/apriori-analise_cesta_de_mercado
Análise de Cesta de Mercado (Market Basket Analysis) utilizando o algoritmo Apriori para identificar regras de associação entre produtos em um conjunto de transações de supermercado.
apriori-algorithm jupyternotebook marketbasketanalysis mathplotlib mba numpy pandas python3
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analyzing movie ratings from various sources to gain insights into audience preferences, trends, and patterns in movie ratings. The project utilizes data analysis and visualization techniques to explore and interpret movie rating data, providing valuable information for movie enthusiasts, filmmakers, and industry professionals.
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IPython Notebook(s) demonstrating NumPy functionality.
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[Fall 2024] Applied Machine Learning
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Last synced: 13 Apr 2026
https://github.com/lexiortiz/ibm-data-engineering-fundamentals
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https://github.com/damiieibikun/web-scrapping-and-python-data-visualization-on-top-500-movies-imdb
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https://github.com/oleksiilatypov/titanic_ml
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Data analysis of Micro:bit with maplotlib, numpy and pandas
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https://github.com/armahdavi/data_analytics_statistics_plotting_pm_airborne_sampling
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Apply basic Python skills in Introduction to Python and Intermediate Python by processing and visualizing film and television data.
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https://github.com/evan-dg31/data-science
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https://github.com/danaelshrbiny10/gold-prices
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https://github.com/raghavendranhp/youtube_data_harvesting
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https://github.com/blairnangle/python3-numpy-ta-lib
Docker image with NumPy and TA-Lib installed. Built and uploaded to Docker Hub using GitHub Actions.
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https://github.com/debjyotisaha/data-analytics-projects-phase-1
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Prediction the duration of New York Taxi trip
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https://github.com/harmanveer-2546/predicting-schizophrenia-disorder
The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase
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A fraude de cartão de crédito é uma forma comum de fraude que afeta milhões de pessoas em todo o mundo. Essa fraude pode ter consequências graves, tanto para as vítimas quanto para as instituições financeiras que emitem os cartões de crédito.
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https://github.com/Verozavr/taxi-data-analytics-project
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https://github.com/suresh-28/weather-forecasting-using-machine-learning
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https://github.com/yuu-eguci/cognitive-services-trial
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cognitive-services dotenv numpy opencv-python pipenv python python3
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https://github.com/mayankmittal29/algovision-statistical_methods_in_ai
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https://github.com/saifalibaig/covid-19-infection-rate-analysis-using-python
Analysis of Covid-19 Infection rate and the world happiness report to identify if there is any relationship between infection rate and happiness
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https://github.com/max134/deepplate
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https://github.com/a-parida12/numericalmethods
Teaching Material for Workshop for Engineering Students
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https://github.com/isabelacaldeira/projetnumerique
Let's talk physics through code!
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Last synced: 13 Apr 2026
https://github.com/iv4n-ga6l/GenderDetection
Gender detection using gender classification model
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Last synced: 28 Apr 2025
https://github.com/iv4n-ga6l/Geometric-ShapesRecognizer-in-image
Geometric shapes recognizer API built in python
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Last synced: 28 Apr 2025
https://github.com/iv4n-ga6l/Crowd-move-simulation
Crowd move simulation in python
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https://github.com/harmanveer-2546/finding-you-next-perfect-house
In this exploratory data analysis, we compare a dataset which consists of various features about renting of houses available on these renting platforms listed by owners of these houses, and try to derive some constructive conclusions by performing Descriptive statistics of the available features.
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https://github.com/saro0307/exploratory-data-analysis-terrorism
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Last synced: 13 Apr 2026
https://github.com/eny2930/ai-ml-projects
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Last synced: 13 Apr 2026
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https://github.com/nambukeerthi/copper_project
Data Analysis Skills – Work with real-world data. Machine Learning Experience – Build and train models. Web App Development – Create interactive dashboards
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https://github.com/yesenvidnath/facerecognitionapplight
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Last synced: 13 Apr 2026
https://github.com/shwetapardhi/assignment-04-simple-linear-regression-2
Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.
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https://github.com/saraasgari99/videoclassificationusingdeeplearning
ML pipeline for biological video analysis using cutting-edge CNN architectures and industry-standard data processing and ML techniques
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https://github.com/bropenguin847/python-learning
Learning Python for Scientific Programming. Intended for beginners with some knowledge of Python.
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https://github.com/udacity-machinelearning-internship/support-vector-machine
Implementing SVM's using pandas and sklearn in python
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Last synced: 13 Apr 2026
https://github.com/olfabelhadj/etude-de-sante-publique-avec-python
OpenClassrooms parcours Data Analyst Projet 4
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Last synced: 13 Apr 2026