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/f-ssemwanga/dab-dataanalysis
DAB Radio Data Analysis Application
matplotlib numpy oop-principles pandas-dataframe postgresql psycopg2 python-3 regex-pattern seaborn threading tkinter-gui
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https://github.com/mark1708/neurointerfaces-of-information-systems
Laboratory work on the discipline "Neurointerfaces of information systems"
numpy pandas python scikit-learn
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https://github.com/georgehanymilad/online-payments-fraud-detection
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anaconda class classification-algorithm data-science dataanalysis kaggle machine-learning machine-learning-algorithms matpolotlib numpy pandas python python3 seaborn
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https://github.com/nicolas-giacomelli/modelo-polinomial-api-streamlit
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Analyzing the mood of tweets! We sort tweets on popular topics into positive, negative, or neutral categories to gauge public opinion. See what Twitter really thinks!
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https://github.com/marcelovilla/fire-congress-2019-tdf-talk
This repository contains the code used for the project presented in the "Fire activity on the Colombian Tropical Dry Forest: an environmental and social perspective" talk during the 8th International Fire Ecology and Management Congress.
earth-observation ecology fire-activity gdal latex matplotlib modis numpy pandas python remote-sensing requests seaborn tikz trmm xarray
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https://github.com/azaz9026/machine_learning_algorithms
Machine learning algorithms are computational models that allow computers to understand patterns and forecast or make judgments based on data without the need for explicit programming. These algorithms form the foundation of modern artificial intelligence and are used in a wide range of applications, including image and speech recognition.
machine-learning machine-learning-algorithms numpy pandas python3 seaborn sklearn-library
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https://github.com/ompreetham/nlp-sentiment-analysis-document-scoring-method
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https://github.com/ben854719/wasde-revenue-in-2024
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https://github.com/samkazan/structural_discovery_of_macromolecules_data_analysis
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Structure, build, and deploy machine learning projects
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This Repository will contain the prototype of a ChatBot created for the playback of audio, or everything related to audio in the world of video games and not.
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This repository contains the Python code and projects I created while learning the Data Analysis with Python: Zero to Pandas course. The course covers essential topics such as data cleaning, analysis, and visualization using powerful Python libraries like Pandas, NumPy, Matplotlib, and Seaborn.
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This repository contains a beginner-level Data Engineering Proof of Concept (POC) project designed for practice. The objective is to provide hands-on experience with data engineering concepts, including data extraction, transformation, loading (ETL), and basic data analysis. This project is ideal for those looking to build foundational skills in da
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Análisis de un dataset médico sobre el sueño, explorando duración, calidad y factores relacionados. Incluye limpieza de datos, EDA y visualizaciones con Python (pandas, numpy, matplotlib, seaborn, scipy).
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Projetos e exercícios em Python
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The "YouTube Data Analyzer" is a versatile tool for businesses and content creators, enabling them to gather, analyze, and harness valuable insights from multiple YouTube channels. With streamlined data collection, storage in MongoDB, migration to SQL, and a user-friendly Streamlit interface, it empowers users to make data-driven decisions
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matplotlib numpy pandas plotty python scikit-learn seaborn tensorflow
Last synced: 13 Apr 2026
https://github.com/anujdutt9/language-model-using-rnn
Text Generation using basic RNN from scratch using Python and Numpy.
language-model numpy python rnn text-generation
Last synced: 08 May 2026
https://github.com/somyaaaaaa2004/travelling-sales-man-problem
This project is a soft computing-based solution to the Traveling Salesman Problem (TSP) using a Genetic Algorithm (GA), implemented entirely from scratch in Python on Google Colab. The goal of the TSP is to find the shortest possible route that visits each city exactly once and returns to the starting point. It's a classic NP-hard combinatorial
genetic-algorithm jupyter-notebook matplotlib-pyplot numpy pandas python travelling-salesman-problem
Last synced: 06 May 2026
https://github.com/harmanveer-2546/prediction-of-ticket-cancellation
The objective is to develop a model that accurately predicts whether users will cancel their tickets. Each cancellation incurs a fine for the ticket registration site from the passenger company.
datetime evaluation gridsearchcv labelencoder numpy pandas standardscaler stratified-k-fold train-test-split xgboost-model
Last synced: 04 May 2026