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/paulo-santos-ds/llm
Um aplicativo web simples de tradução que converte texto do português para o inglês, construído com Streamlit e Google Translator
deeptranslate googletranslate numpy pyngrok python streamlit
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https://github.com/elmezianech/classifyreviews_nlp
Revolutionize customer feedback analysis with our NLP Insights Analyzer. Utilize cutting-edge text preprocessing to transform raw reviews into a machine-friendly format. Explore sentiment models, such as Logistic Regression and Naive Bayes, employing cross-validation for model robustness.
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https://github.com/swapnilvishwakarma/twitter_sentiment_dashboard
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dashboard machine-learning matplotlib numpy pandas plotly sentiment-analysis streamlit-webapp webapp wordcloud
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Loan Data Processing using Python's numpy and pandas libraries. For data visualization, matplotlib and seaborn are used.
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An analysis of the final grades of students using Python
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Computer Vision Intro
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https://github.com/jupfu/beck-view-movie
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https://github.com/sahil210695/convolution-evolution
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https://github.com/velascort/image_equalizer_gui
Image equalizer using LUT interface.
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https://github.com/shriansh2002/stock-prediction
This project predicts Apple stock prices using linear regression. It's based on historical stock price data and uses Python and popular data science libraries like Pandas, NumPy, Matplotlib, and scikit-learn.
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https://github.com/jsnevt/regressao_logistica
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https://github.com/pdoup/atml-notebooks
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https://github.com/mihirh19/uber-analysis
Uber's 2016 dataset analysis offers insightful information about the company's operations and user behaviour. Patterns and trends can be discovered by looking at variables like trip time, distance travelled, and pickup/drop-off locations. Uber may use this information to detect high-demand locations, increase overall efficiency, and optimise driver
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https://github.com/khalidelboray/image_processing
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https://github.com/mrandolph95/grad-projects
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https://github.com/thavinduushan/linear-regression
A linear regression model to predict premium price of an insurance. The dataset includes around 1,000 observations. The project, aimed at learning, was implemented in Jupyter notebooks using NumPy, Matplotlib, Pandas, Keras, and TensorFlow.
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https://github.com/dulajkavinda/handwritten-recognition
🛢Handwritten Digit Recognition using OpenCV
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https://github.com/RedInfinityPro/PygameCicruit
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https://github.com/towaquimbayo/comp-4949
BCIT Computer Systems Technology (CST) - COMP 4949 (Big Data Analytics Methods)
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https://github.com/subhas-pramanik-09/mediscan-ai
A smart and scalable ML-powered health prediction system that can help detect the risk of three major diseases: Diabetes + Heart Disease + Parkinsons Disease
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https://github.com/omdoshi13/pricing-of-laptops-using-ml
Data Analysis, training Machine Learning models, and Model Evaluation and Refinement for Pricing of Laptops dataset.
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https://github.com/harmanveer-2546/sentiment-analysis-of-amazon-fine-food
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This repository is a comprehensive collection of data analysis projects and tutorials using Python's most powerful libraries: NumPy, Pandas, Seaborn, and Matplotlib. It is designed to help you explore, clean, visualize, and analyze data efficiently.
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