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: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/shiqilu77/machinlearning-lol_gaming
a supervised model that predicts the match winning rate in LOL game based on the lineups of both sides. Implemented data processing by multiple python API including sklearn, NumPy, pandas, and by feature encoding, kNN, Synthetic Minority Oversampling Technique, etc
league-of-legends machine-learning numpy supervised-learning
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https://github.com/moonmoonsamal/meesho_order_financial_analysis
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cleaning-dataset eda numpy pandas visualization
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https://github.com/leftcoastnerdgirl/supervised_learning
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https://github.com/eckelsjd/copier-numpy
Template for a numpy-based scientific computing Python package.
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Many more to come stay tune
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https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation
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https://github.com/armanshadyan/bacteria-detection
Deep learning-powered tool for detecting and analyzing bacteria in microscope images. Designed for microbiology research, it identifies bacteria, counts them, and calculates coverage area with high precision. Supports real-time video processing, single-image analysis, batch processing, and model training.
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https://github.com/ksasi/dog-breed-classifier
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First-year deep dive into problem-solving with Python—featuring class practices and projects using NumPy, Pandas, Tkinter, and psycopg2.
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a predictive model in Python that answers the following question: “using data relating to passengers (name, age, gender, socio-economic class, etc.), who has the greatest chance to survive?"
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https://github.com/ashithapallath/feature-engineering
This repository contains a range of examples and techniques for feature engineering, aimed at improving dataset quality and boosting model performance. It covers essential methods such as Exploratory Data Analysis (EDA) and Interquartile Range (IQR) analysis for detecting and handling outliers.
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https://github.com/paulo-santos-ds/visao_computacional
O sistema utiliza inteligência artificial para analisar documentos e características físicas dos visitantes, garantindo que apenas maiores de 18 anos possam acessar as áreas de jogos
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https://github.com/ayu-ano/basic_object-detection
End to End Basic object Detection using Open CV
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https://github.com/autokmg/ai-foundations
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https://github.com/rhazra-003/modelinglab
Assignment - Solution of Modeling Lab of 7th Semester (Batch of 2023) of NIT Durgapur
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https://github.com/jcardonamde/reto_cobranzas_sector_financiero
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https://github.com/prithvikings/zomato_data_anaysis
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https://github.com/jbalooshie/school_district_analysis
Analysis of standardized testing results using NumPy and Pandas, executed in Jupyter Notebook. Summaries of the testing results are provided based on school, test type, and grade level.
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https://github.com/vtorres09/projetomonitoriaip
📋 Data analysis of a dataset created to select students to be teacher assistant (Introduction to Programming).
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https://github.com/who-else-but-arjun/pyspyce-cs
Circuit Simulator for R, L, C components and AC/DC voltage and current sources built using python as a part of EE204 circuit theory course project.
circuit-simulator numpy python streamlit sympy
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https://github.com/nerett/get
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jupyter jypyternotebook matplotlib numpy
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https://github.com/abyss-s/data-analysis-project
[컴퓨팅사고와 데이터분석 기초] 최종 프로젝트 (2024-1)
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https://github.com/carmoreno/aviones-aldeas
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https://github.com/star2dust/numpy-notes
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https://github.com/himudigonda/gradwire
GradWire: A NumPy-based Automatic Differentiation Engine
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https://github.com/ahmad-ali-rafique/numpy-mastery-notebook
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https://github.com/redinfinitypro/pygamecicruit
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https://github.com/nightmachinery/mlp_from_scratch
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https://github.com/dwade-eng/amazon-product-recommender-prototype-
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Exploratory Data Analysis of a Historical Olympic Games Dataset, including all the games from Athens 1896 to Rio 2016.
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This repository presents a project for urban traffic signal optimization using Reinforcement Learning (RL) to improve traffic flow, increase safety at intersections, and promote energy efficiency in cities. Using the "Traffic Volume Counts" dataset from Kaggle.
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