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/r-papso/pynet
Deep learning library implemented in Python
deep-learning machine-learning neural-network numpy python
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https://github.com/mdaltamashalam/uber-fare-prediction-models
Predicts the fare amount of Uber rides based on various factors such as pickup/drop-off coordinates, passenger count, and trip distance.
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https://github.com/coueghlani/nlp
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Complete statistical analysis of cavy lifetime dataset using Python, Pandas, NumPy, Matplotlib, and SciPy to explore, visualize, and infer the impact of bacilli infection on cavy lifetimes 🦫
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https://github.com/smahala02/materials-science-introduction
Introduction to Materials Science concepts using Python for array manipulation and visualization with NumPy and Matplotlib.
data-visualization materials-science matplotlib numpy python scientific-computing
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Parallel NumPy-like interface for large n-dimensional arrays on disk.
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In this data project we will focus on exploratory data analysis. This project utilizes Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn for data manipulation, analysis, and visualization.
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Generate Random Test Cases
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matplotlib numpy pandas plotly plotly-dash recommendation-system streamlit
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machine-learning matplotlib numpy pandas python scikit-learn seaborn
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matplotlib numpy pandas python seaborn
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https://github.com/killervardhan8/gesturedecode
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csv mediapipe numpy python tensorflow
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https://github.com/mchenryspagg/economic-variable-correlation-and-productivity-model
This report provides an in-depth analysis of Nigeria's economic performance over the past decade, spanning from 2014 to 2024.
correlation exchangerates inflation moneysupply numpy productivity python regression regression-analysis regression-models visualization
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https://github.com/awaisfraaz/python-libraries
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matplotlib numpy pandas python seaborn
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agentic-ai avatar cryptography emotion-analysis encryption gemini json langgraph langraph machine-learning-algorithms matplotlib mcp-server numpy opencv-python pandas python pytorch rs256 seaborn
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https://github.com/shwetapardhi/assignment-2-set1-q1-basic-statistic-level-2
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analytics cleaning-data data linear-regression machine-learning matplotlib numpy pandas python seaborn
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classification lasso mlp numpy r2-score regression ridge
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A supervised machine learning regression model. Includes problem statement, approach to solution, code, images, dataset, and Jupyter Notebook for interactive analysis.
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django machine-learning numpy orm pandas python sckiit-learn sqlite3
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https://github.com/pramodyasahan/health-insurance-cost-prediction
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https://github.com/5hraddha/sda-megaline-the-best-plan
Megaline is a telecom operator and it offers its clients two prepaid plans, Surf and Ultimate. The commercial department wants to know which of the plans brings in more revenue in order to adjust the advertising budget.
data-visualization hypothesis-testing matplotlib numpy pandas scipy seaborn statistical-data-analysis
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Clean Code Principles
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Analyzed Beijing's air quality data using time series analysis and ARIMA modeling to forecast PM2.5 pollution levels. Identified seasonal patterns and correlations between pollutants, revealing insights into urban air quality trends and potential contributing factors.
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This notebook demonstrates a neural network implementation using NumPy, without TensorFlow or PyTorch. Trained on the MNIST dataset, it features an architecture with input layer (784 neurons), two hidden layers (132 and 40 neurons), and an output layer (10 neurons) with sigmoid activation.
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