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/glbter/data-analysis-py
data-analysis labs. 50/50 made with Oleh Tonkoshkur
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Last synced: 10 Apr 2026
https://github.com/dipto9999/ml_introduction
An Introduction to Machine Learning, primarily using Python scikit-learn library.
data-science decision-trees jupyter-notebook k-means-clustering k-nearest-neighbors linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas principal-component-analysis python random-forest scikit-learn seaborn support-vector-machines
Last synced: 10 Apr 2026
https://github.com/ngangawairimu/automating_farming_analysis
This project automates farming in Maji Ndogo, analyzing soil fertility, climate, and geography to recommend optimal crop locations. Python-based data analysis I uncovers patterns guiding farming practices.
matplotlib-pyplot numpy pandas python seaborn sqlite
Last synced: 10 Apr 2026
https://github.com/rokmark0/auto-feature-engineering
🐙 Automated feature engineering toolkit that creates, selects, and transforms features for machine learning on tabular data, boosting model accuracy and speeding workflows.
auto-feature-engineering automl aws-ec2 dask data-science explainable-ml feature-engineering featuretools machine-learning mahinelearning numpy pandas pandas-library python r sagemaker supervised-learning unsupervised-learning
Last synced: 10 Apr 2026
https://github.com/amardeepsingh-06/smart_attendance_system
The Smart Attendance System is designed to automate the attendance process using facial recognition. Traditional methods of taking attendance can be time-consuming and prone to errors. This project aims to streamline the process by leveraging computer vision technology, allowing for efficient, contactless, and accurate attendance tracking.
asgiref django mysql numpy opencv pillow-library python sqlparse
Last synced: 05 Apr 2026