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/omerkel/fractals
Rendering Fractals like Hilbert curves, Julia sets and Mandelbrot sets in various techniques.
fractals glsl-shaders hilbert-curve julia-sets jupyter-notebook mandelbrot-sets matplotlib numpy webgl-shader
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https://github.com/duartegalvao/smart-bottle
Project for the ID2012 course on KTH.
django django-rest-framework internet-of-things jupyter jupyter-notebook numpy python python3 ubiquitous-computing
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This project focuses on predicting the loan status (approved or not approved) based on various applicant details. The goal is to develop a machine learning model that accurately classifies whether a loan should be approved, helping financial institutions make informed lending decisions.
matplotlib numpy pandas python scikit-learn seaborn support-vector-machine
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Machine Learning Application to predict House Prices
hands-on learning-by-doing machine-learning numpy pandas python scikit-learn
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https://github.com/ayaanjawaid/brain_stroke_prediction
project aims to predict the likelihood of a stroke based on various health parameters using machine learning models. The dataset is preprocessed, analyzed, and multiple models are trained to achieve the best prediction accuracy.
decision-trees exploratory-data-analysis matplotlib numpy pandas python regression xgboost
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https://github.com/camilajaviera91/prediction-of-housing-prices-using-linear-regression
This project provides tools to search for datasets on Kaggle, download and preprocess them, and perform predictions using a Linear Regression model. It includes interactive text-based user interfaces built with `curses`.
curses kaggle linear-regression matplotlib-pyplot mean-absolute-error mean-square-error numpy pandas pathlib python scikit-learn train-test-split
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Projects and certificates from a machine learning course focused on TensorFlow and Keras, covering neural networks, CNNs, NLP, and time series analysis 🧠
convolutional-neural-networks deeplearning-ai keras machine-learning mlcourse natural-language-processing neural-networks numpy pandas python-machine-learning recurrent-neural-networks tensorflow
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This project explores unicorn companies, private startups valued at over $1 billion, using Python for data analysis. It covers industry trends, geographic distribution, and investment patterns through EDA, including data cleaning, handling missing values, datetime transformations, and visualizations to uncover key insights.
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Data Analysis about traffic accidents at Bogotá, Colombia.
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Contains python codes.
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Permutation without repetition - written in Cython - for Numpy
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data-analysis numpy pandas python
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https://github.com/dyrits/parite
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https://github.com/siddhantborse/atmosviz
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geopandas geospatial-analysis gis matplotlib numpy pandas plotly python scikit-learn seaborn shapefiles time timeseries-analysis timeseries-data
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https://github.com/jacobpclouse/526-hw-3-sss
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https://github.com/bhaskarkulshrestha/rock-vs-mine-prediction
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colab-notebook logistic-regression machine-learning numpy pandas python sckit-learn supervised-learning
Last synced: 05 May 2026
https://github.com/iamwatchdogs/retail-insights-from-superstore-data
An simple Data Analysis Project for finding insight within the Super store data set
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https://github.com/zafir100100/cancer-stage-prediction
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https://github.com/rayan-alam-uoit/space-x-launch-prediction-tool
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The Social Media Sentiments Analysis Dataset captures a vibrant tapestry of emotions, trends, and interactions across various social media platforms. This dataset provides a snapshot of user-generated content, encompassing text, timestamps, hashtags, countries, likes, and retweets. Each entry unveils unique stories—moments of surprise, excitement,
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Exploratory Data Analysis of the Titanic dataset using Python (Pandas, NumPy, Matplotlib). Includes data cleaning, visualizations, correlations, and key business insights.
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Mandelbrot's Fractal Constructions
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DIY ML framework (using only NumPy!) + various demos
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This project implements a spam email classifier using Logistic Regression.
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This repository explores customer behavior data for an NYC clothing company with both a mobile app and website. They want to understand which platform drives higher sales.
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DataScience with Python. Code and examples. Python libraries, including pandas, NumPy, Matplotlib, and many more.
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https://github.com/prachi-77/data-visualization
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https://github.com/paulo-santos-ds/llm
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https://github.com/naveen88112/genetic_algos_maze_solver
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https://github.com/swapnilvishwakarma/twitter_sentiment_dashboard
Using Streamlit and Python, I created interactive data dashboards and used Pandas to manipulate data in data science workflows. I also used Plotly to create interactive graphs.
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Last synced: 06 May 2026
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A practical guide to learning and using TensorFlow and NumPy for data manipulation and machine learning
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https://github.com/ananyachibber21/automation-python-projects
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web content extraction and sentiment analysis on URLs provided in an Excel file. Its divided into classes to manage different stages such as data loading, web scraping, text processing, sentiment scoring, and output generation
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Last synced: 06 May 2026
https://github.com/redinfinitypro/python-finance
Rating: (8/10) The code performs a linear regression analysis on stock data using the yfinance library, importing necessary libraries, selecting stock symbols, downloading data, fitting a model, making predictions, and visualizing results.
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Last synced: 06 May 2026
https://github.com/voorhs/ml-practice
ML algorithms implementation
aimasters lomonosov-msu machine-learning numpy python
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