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: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/epsoft/transfer-learning
Transfer Learning
numpy seaborn tensorflow transfer-learning
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https://github.com/epsoft/nlp
NLP
farsi gru nlp numpy pandas persian tensorflow training word-indexer
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https://github.com/ikaushikpal/ml_prerequisite
In this repository, I'm just practicing the basics of data visualizing and data clearing, thanks for checking my repo
jupyter-notebook matplotlib numpy pandas python
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https://github.com/rakibhhridoy/machinelearning-featureselection
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extratreesclassifier feature-selection gridsearchcv lasso-regression logistic-regression machine-learning numpy pandas pca rfe rfecv scikit-learn selectkbest
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https://github.com/sahajrajmalla/co2-calculator-api
A Web Application backend API that enables people to create events, join events, and measure the carbon footprint produced by each participant to get insights about online and onsite carbon emissions.
apis carbon-emissions carbon-footprint fastapi makefile numpy pandas precommit sqlalchemy sqlite3 uvicorn
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classification-algorithm machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn
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https://github.com/datarohit/car-evaluation--classification
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https://github.com/guptaachin/titanic-data-analysis
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https://github.com/omerkel/fractals
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https://github.com/srujayreddy/selling-laptops
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https://github.com/narenkhatwani/arkouda-projects
This repository contains the source codes of the projects done using Arkouda (a software package that allows a user to interactively issue massive parallel computations on distributed data using functions and syntax that mimic NumPy, the underlying computational library used in most Python data science workflows.)
arkouda data-analysis data-analytics data-science high-performance high-performance-computing highperformancecomputing numpy pandas parallel-computing parallel-processing parallelization python
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https://github.com/ryantusi/ai_ml_fundamentals
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https://github.com/mattdelaune/saas_cohort_analysis
This project analyzes customer segmentation and behavior using data science and cohort analysis. Key metrics like CRR, NRR, CLR, and CLV are examined through detailed charts, including the cohort layer cake and CLR vs. CLV cost efficiency analysis. Exploratory Data Analysis and systematic data manipulation reveal actionable insights.
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https://github.com/gauranshgoel123/predictive-demand-analysis
Demand Forecasting Project A web application for predicting future demand for part numbers based on historical data. Built with React for the frontend and FastAPI with Python for the backend, this application visualizes demand trends and allows users to input additional data for improved accuracy. In render analyzer is frontend analysis is backend
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https://github.com/screamman-ssh/facemousecontrol
This project is about using your nose tip for the mouse's cursor and open your mouth for the left click.
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https://github.com/akash-rajak/large-image-preview
Python Script to view large image using scroll bars.
cv2 large-image large-image-preview numpy python3 tkinter
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https://github.com/mark0011astra/simplecuda
CUDAを使用したGPU演算をNumPyと同様のインターフェースで簡単行えるライブラリ。A library that allows users to easily perform GPU operations using CUDA with a NumPy-like interface.
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https://github.com/italoseara/cet083
Medidas de Posição (ou separatrizes) - CET083
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https://github.com/hernandemonteiro/host_national_search_2015
Análise Estatística da Pesquisa Nacional por Amostra de Domicílios
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https://github.com/rusiruchapana/blood-group-prediction
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https://github.com/harmanveer-2546/supply-chain
Supply chain analytics is a valuable part of data-driven decision-making in various industries such as manufacturing, retail, healthcare, and logistics. It is the process of collecting, analyzing and interpreting data related to the movement of products and services from suppliers to customers.
customer-segmentation-analysis data data-analysis data-cleaning data-insights ggplot2 numpy pandas performance-evaluation predictive-analytics-for-business python risk-assessment sales-analysis statistical-analysis supply-chain tidyverse trend-analysis
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https://github.com/serhatderya/fall_detection
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https://github.com/otuemre/simplenet
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https://github.com/guiferviz/happyml
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This project is created using Machine Learning and Regression methods- a statistical technique to predict the outcome of event which is to verify the users’ admission eligibility level, considering the universities they have chosen. This is achieved based on the algorithms implemented, when is user feed the application with the required information
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https://github.com/elazzouzihassan/si-fraud-detection-prototype
Système de Détection des Fraudes avec Python (Prototype).
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https://github.com/gandhasiri-rahul-mohan/association-rules-q1-books
Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots
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https://github.com/mgobeaalcoba/matplotlib_y_seaborn
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Last synced: 13 Apr 2026