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/hklyousfi/cyberxnoteloom
Hybrid piano synthesizer with ADSR envelopes, resonance modeling, and MIDI rendering
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Last synced: 30 Apr 2026
https://github.com/lasithaamarasinghe/movie-recommender-system
This ML model recommends movies that may align with the user's preferences based on TF-IDF matrix.
jupyter-notebook machine-learning movie-recommendation movielens-dataset numpy pandas python regex scikit-learn tf-idf-vectorizer
Last synced: 12 Apr 2026
https://github.com/kishlayjeet/zomato-data-exploration
In this project, we will be exploring a dataset containing information on various restaurants and their ratings, location, and other attributes.
data-analysis eda matplotlib numpy pandas zomato-data-exploration
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https://github.com/torahappy/takasa
OpenStreetMap 高低差を考えた最短(?)経路問題ソルバー
numpy openstreetmap scipy shortest-path
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https://github.com/sralter/term_deposit_marketing
Predicting which customers will most likely purchase a type of financial product, achieving a time savings of over 93%.
matplotlib numpy optuna pandas seaborn sklearn
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https://github.com/htlinh0604/invoice-data-extraction
This project demonstrates a classic OCR pipeline. This Flask app takes an image, applies an OpenCV preprocessing pipeline, and uses Tesseract OCR to digitize Vietnamese invoices (Bách Hóa Xanh)..
flask numpy ocr-recognition opencv pandas python regex tesseract-ocr
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https://github.com/en10/bostonhousing
Boston Housing Dataset Example
boston-housing-dataset boston-housing-price-prediction matplotlib numpy pandas pandas-dataframe python python3 sklearn
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https://github.com/datarohit/titanic-survival-data--classification
This is a Titanic Survival Data from Kaggle Competition with Multiple Classification Algorithm testing and Detailed Exploratory Data Analysis.
classification-algorithm kaggle-competition machine-learning-algorithms matplotlib-pyplot numpy pandas seaborn sklearn
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Repository group6-system-smart-bbri is a group assignment project that uses Streamlit, scikit-learn, and related technologies to build a BBRI stock price prediction application based on day, week, and month input.
data-visualization numpy pandas python sklearn streamlit
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Códigos de Machine e Deep Learning
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My Machine and Deep Learning Practice and Projects Notebooks
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https://github.com/chuvalniy/torchy
Built from scratch neural network library using only NumPy
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https://github.com/macagua/entrenamiento.data_scientist_python
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data-analytics data-scientist data-visualization numpy pandas-dataframe python37 streamlit
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https://github.com/nirmalyabag20/wine-quality-prediction-machine-learning
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Python Package for Dictionary Wrappers for Numpy Arrays
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My Full Backup Packagaes & Files Guide for Python 👷♂️
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This project tackles the Titanic challenge on Kaggle, predicting passenger survival based on variables like age, sex, and passenger class. The Jupyter notebook covers essential steps of a data science pipeline, including exploratory data analysis, data cleaning, feature engineering, and modeling. The dataset used is the Titanic dataset.
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High-performance Machine Learning, Dynamic Auto-Differentiation and Tensor Algebra crate for Rust
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https://github.com/dhruv-26/parkease-pro
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Explore fundamental linear algebra concepts essential for machine learning in this repository, with code examples and explanations. Get a solid foundation for ML!
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https://github.com/antoniojcosta/calculus-exercises
Numerical Calculus exercises solved using python.
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https://github.com/apchavan/ulmfit_twitter
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Experience a state-of-the-art Django web application designed to predict product backorders with exceptional accuracy. This platform leverages advanced machine learning techniques, incorporating pre-trained Random Forest Classifier, Decision Tree, and LGBM models.
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https://github.com/pinedah/escom_programming-for-data-science
This repository contains personal notes, exercises, and programs from the Programming for Data Science course at Instituto Politécnico Nacional (IPN). The course focuses on using Python programming for data handling, statistical analysis, and machine learning techniques.
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This repository contains programs in the python programming language.
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Projects of Udacity Machine Learning nanodegree
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https://github.com/singh-dhruv/traffic-light-detection-and-recognition
Welcome to this repository! Here we explored the topic of traffic lights detection and its recognition for helping the Autonomous Vehicles in their interpretation of traffic lights and decision making while driving.
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This fraud detection system is powered by a Machine Learning model, which accurately identifies whether an initiated transaction is fraudulent.
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https://github.com/jesussantana/ibm-skills-courses
IBM Data Science, Machine Learning & Deep Learning Courses to Increase your Skills Development
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https://github.com/ndohvich/ndohvich
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https://github.com/hansalemaos/numpycythonpermutations
Permutations, Combinations and Product for Numpy - written in Cython - 20x faster than itertools
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https://github.com/henriqueotogami/curso-de-python3-udemy
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https://github.com/aryansingla45/image-classification-project
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https://github.com/amorehead/ml-fundamentals
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Transfer Learning
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https://github.com/mohamedawnallah/covid19-dataanalysis-python
how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. In this project, we are going to work with the COVID19 dataset, published by John Hopkins University, which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. Also, we have another dataset consist of various life factors, scored by the people living in each country around the globe. We are going to merge these two datasets to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country.
covid19 dataanalysis datavisualization happiness-report jupyternotebook numpy pandas python
Last synced: 08 May 2026
https://github.com/Tritonix711/FractureAI
This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.
css cv2 flask gorq html javascript matplotlib npm numpy pandas pydantic python react scikit-learn torch torchvision ultralytics
Last synced: 19 Aug 2025
https://github.com/guptaachin/titanic-data-analysis
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dataanalytics datamining datascience machinelearning numpy pandas python scikit-learn structuredpyramidanalysisplan tableau tableau-desktop
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analysis calculator calculus mathematics numerical-analysis numerical-methods numpy python-math scipy symbolic-expressions symbolic-math sympy
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https://github.com/sominw/cheatsheets
Useful cheatsheets for DS.
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Spotless Data: A Python-based workflow using Jupyter Notebooks for efficient data cleaning, preprocessing, handling missing values, correcting outliers, and integrating external datasets ideal for quick, reliable, and clean data preparation.
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"Welcome to the HR Employee Promotion Prediction project! This repository contains the code and resources for a machine learning project that focuses on predicting employee promotions. By analyzing various employee attributes, this project aims to provide valuable insights for HR decision-making and talent recognition within organizations.
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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
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Perform perspective warping and image fusion in Python using OpenCV and NumPy. Select four points on the base image to define the region where the subject image will be warped and fused. The script creates a fused image and saves it as Final_Output.png. 🖼️🌌🔮
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Small Machine Learning library written in Python
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