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/mahendra077/linear-regression
analaysis linear-regression matplotlib-pyplot numpy pandas python regression seaborn statsmodels
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https://github.com/shreeparab1890/chat-analyzer
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data-analysis numpy pandas python
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https://github.com/vikpires/ds_tips-dataset
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data-analysis data-science data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn tips
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https://github.com/bearddan2000/python-web-3d-matplotlib-scatter-graph
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3d graph matplotlib numpy pandas python scatter web
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alpine-image numpy pandas-python python-alpine
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data-science django lstm machine-learning numpy pandas pandas-datareader scikit-learn stock-market stock-price-prediction stooq streamlit yahoo-finance yahoo-finance-api
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https://github.com/arrnikhilchauhan/book-recommendation
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https://github.com/geetu040/fetcher
AI GAME: We have a random maze and 2 agents at random places. You control the Fetcher and find the way through the maze to get ot the target. You can automate the Fetcher to use trained models that help Fetcher fetch the target by itself. The models are based on deep neural networks, implemented by tensorflow and Keras API. The models are so efficiently trained, they find ways through the maze without hitting the walls and have an accuracy of more than 99%
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https://github.com/manuelfay/numpydeeplearning
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A Movie Recommendation System using the MovieLens dataset, leveraging collaborative filtering techniques such as KNN (k-Nearest Neighbors) and Singular Value Decomposition (SVD). The project demonstrates a personalized recommendation model capable of suggesting movies based on user preferences and interaction data.
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This project represents the culmination of my Python learning journey.
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https://github.com/mogankumar/bird-flock-simulation-with-pyspark
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https://github.com/sadmanca/imdb-scraper
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https://github.com/mzayles/data-preparation.py
Curso Programação em Python para Data Science | Preparando e tratando dados de uma base de vendas com Pandas e NumPy.
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https://github.com/shreenidhi7700/auto_price_prediction
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https://github.com/kaustavmodak/business-aided-customer-feedback-assessment-system
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Last synced: 03 May 2026
https://github.com/zongxr/dcic2025-riverwaterprediction
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Data analysis on students result dataset using python libraries.
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https://github.com/nicolashaubricht/analise-dados-pib-per-capita
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https://github.com/sohamrider786/house_price_predictor
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https://github.com/aymanmomin/facebook-ego-network-analysis-for-political-outreach-optimization
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Last synced: 04 May 2026
https://github.com/dmdlgg/calculadora_de_indicadores_estatisticos
Uma calculadora que retorna a média, mediana, desvio padrão, quartis e variância dos dados inseridos pelo usuário. Tecnologias utilizadas: Flet, Python e Numpy. (Ainda em andamento)
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A collection of beginner Python scripts and practice exercises from my early learning days, inspired by Telusko and other resources.
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📈 Analyze stocks and optimize portfolios with AI-driven insights, technical indicators, and clear investment signals for informed decision-making.
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Last synced: 04 May 2026
https://github.com/sweta-kaundilya/python_for_data_analysis
Learning Python and all the relevant libraries in python for Data field.
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https://github.com/sumaiyyaf/movie-industry-analysis
This project focuses on the acquisition and in-depth analysis of movie data to generate strategic recommendations, guiding our hypothetical company's successful entry into the movie industry.
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https://github.com/florasteve/ml-foundations-day1
Day-1 ML foundations focused on linear algebra: vectors, dot products, norms, angles, projections, and basic matrix operations—implemented in a Jupyter notebook with NumPy/Matplotlib, clear 2D visuals, a self-quiz, and a brief reflection. Emphasizes how these math primitives map to core ML/AI ideas (similarity, least squares, geometric transforms).
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https://github.com/sugha22/data_analysis
Actively upskilling in data science with hands-on learning during a Green Internship focused on environmental sustainability. Used Pandas and NumPy for data preprocessing and cleaning, and created visual dashboards in Excel and Tableau. Gained experience in interpreting sustainability metrics and communicating insights through data storytelling and
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https://github.com/nordic96/lanedetection
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https://github.com/pedasoft-consult/product_purchase_prediction
As a newly hired AI Engineer, your task is to predict customer behavior based on various features such as age, income, and gender. This exercise involves cleaning the data, training a decision tree model, and evaluating the model's performance to understand the key factors influencing customer purchasing decisions.
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https://github.com/swarup-ranjan-mondal/chat-analyzer
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https://github.com/jakubfr4czek/apartment-prices-analysis
This repository contains an analysis of apartments prices in Krakow. It was made for "Rachunek prawdopodobieństwa i statystyka" (probability and statistics) course i took at AGH University of Science.
agh agh-wi analysis csv jupyter jupyter-notebook krakow numpy pandas price-analysis price-prediction probability probability-statistics python statistics statistics-learning
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https://github.com/powei-lin/least-square-problem-example
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autograd least-square-regression least-squares matplotlib numpy python python3 scipy
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https://github.com/katalekoweb/full-python-course-for-ai
Full python curse for AI
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https://github.com/abhishekyadav915/e-commerce-sales-analysis
E-Commerce Sales Analysis is a data analysis project that explores sales data from an e-commerce platform to uncover insights and trends. The analysis includes visualizing sales performance, customer behavior, and product trends to help optimize business strategies and improve customer satisfaction.
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