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/patilsukanya/p01.matplotlib-seaborn-titanic-dataset-visualization
Used libraries and functions as follows:
barplot bivariate boxplot densityplot histogram jointplot matplotlib numpy pairplot pandas python seaborn-plots seaborn-tutorial stripplots swarmplot univariate violinplot visualization
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html matplotlib numpy pandas python sqlite streamlit
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data-science machine-learning machine-learning-algorithms matplotlib numpy pandas pipelines python seaborn sklearn
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matplotlib numpy pandas python r scikit-learn seaborn sql
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algorithms data-science linear-algebra math matrix-operations numpy python sympy
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csv data-analysis data-science fill fluctuations graph numpy python python-library
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https://github.com/buildwithlal/introduction-to-data-science-in-python-coursera
introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera
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https://github.com/dmarks84/ind_project_data-science-london-scikit-learn--kaggle
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datascience datavisualization deeplearning jupyter jupyter-notebook learning-by-doing learningresources machinelearning matplotlib numpy opensource pandas python python-script python3 pytorch pytorch-implementation scikitlearn tutorial
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https://github.com/sridharyadav07/machine-learning-project-bankruptcy-prevention-
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data-preprocessing evaluation machine-learning-models matplotlib-pyplot modelbuilding modeldeployment numpy pandas python scikit-learn seaborn
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https://github.com/yashsonaar/data-science-projects
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classification data-science jupyter-notebook machine-learning matplotlib numpy pandas prediction python scikit-learn testing visualization
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data-wrangling hypothesis-testing numpy p-values pandas python scipy-stats statistics t-test
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https://github.com/mr-chang95/twitter_datawrangling
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data-visualization data-wrangling dogs matplotlib numpy pandas python twitter
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https://github.com/blinksta1ker/co2-prediction
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kmeans-clustering-algorithm linear-regression numpy pandas powerbi python seaborn segmentation
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https://github.com/themysterysolver/python_basics
"This repo includes simple Python programs for beginners, covering various concepts, object-oriented programming, and different module usages, to help with understanding and learning Python."
basic-python-syntax collections dsa matplotlib numpy oops-in-python pandas python re scipy
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https://github.com/klima7/numpynet
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cnn convolution network nn numpy scratch tensorflow
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🏦 Build a complete data engineering workflow for a banking system, showcasing ETL processes, data transformations, and an interactive financial dashboard.
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https://github.com/jjwizardmp/gallery-art-problem
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https://github.com/abideen-olawuwo/stroke-prediction
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https://github.com/headless-start/yolov4-tiny-raspberrypi
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darknet edge numpy object-detection opencv powerpoint python-3 pytorch raspberry-pi tensorflowlite yolov4 yolov4-darknet yolov4-tiny
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https://github.com/sunilvarma-l/zomato-data-analysis-using-python
its a Python-based project to analyze and visualize Zomato restaurant data. This project explores various aspects of restaurant data, such as customer reviews, restaurant ratings, locations, and cuisines, with the aim of uncovering insights and trends in the food industry.
googlecollab matplotlib numpy pandas python seaborn
Last synced: 09 Apr 2026
https://github.com/mrandolph95/grad-projects
Projects completed during my ASU grad program for Social Data Science.
beautifulsoup nltk numpy pandas regression-analysis sckiit-learn seaborn selenium
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https://github.com/oaerobert/python-for-finance
Implementations of financial mathematics and statistics using the "Python for Finance" textbook. Includes Monte Carlo simulations, predictive stock prices using ML strategies and real world data visualisations.
matplotlib numpy pandas python
Last synced: 09 Apr 2026
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Last synced: 08 May 2026
https://github.com/erikaax08/numerical_methods
This repository hosts the project developed for the Numerical Methods class at the Benemérita Universidad Autónoma de Puebla (BUAP)
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Кейсы решенные на курсах Яндекс Практикума.
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https://github.com/ialam085/super_store_sales_analysis_python
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https://github.com/niteshchawla/aerofit-casestudy
The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.
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https://github.com/lefteris-souflas/modern-slavery-analysis
Jupyter notebook using machine learning techniques to explore the complex drivers of modern slavery. Models from a research paper are replicated and evaluated . Actions also include filling missing data, training regression models, and analyzing feature importance.
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https://github.com/yannbouyeron/yannbouyeron.github.io
Python pour les SVT
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https://github.com/subhamsarangi/ml
Machine Learning
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https://github.com/farzeennimran/cryptocurrency-price-prediction
Cryptocurrency Price Prediction using machine learning models 💲💰💸📈📉📊₿
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Last synced: 07 Jan 2026
https://github.com/lovesaroha/learning-neural-networks
Various concepts of neural networks applied in python (numpy) to help people get started with AI.
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Last synced: 08 May 2026
https://github.com/giacomolat/realestateai-solutions---a-forecasting-model-for-the-housing-market
This project applies regularization techniques (Ridge, Lasso, and Elastic Net) to improve real estate price forecasting. This project focuses on reducing overfitting and increasing the stability of regression models' predictions
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https://github.com/mjshubham21/ny_yellow_taxi_python_da_project
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data-analysis jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 04 May 2026
https://github.com/ksganni/diabetes-prediction-using-machine-learning
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Last synced: 28 Apr 2026
https://github.com/anas436/cars-price-pediction-evaluation-and-refinement-using-python
cross-validation-score gridsearchcv ibm-watson jupyter-notebook linear-regression matplotlib model-selection numpy pandas polynomial-features python3 ridge scikitlearn seaborn sklearn tqdm
Last synced: 11 Apr 2026
https://github.com/cyberoctane29/epa-air-quality-aqi-analysis
This project involved analyzing air quality data from the EPA, focusing on the Air Quality Index (AQI). I used Python data structures like dictionaries and sets to manage and process the data, simulating real-world data analysis to assess pollution levels and their health implications.
data-analysis numpy pandas python statistics
Last synced: 10 Apr 2026
https://github.com/estaheri7/dotawinpredictor
This project aims to predict the outcome of Dota 2 matches based on the heroes picked by both the Radiant and Dire teams
data-science dota2 machine-learning numpy pandas python random-forest sklearn support-vector-machines
Last synced: 09 Mar 2026
