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/shortthirdman/predictorxvault-cookbook
Master Machine Learning: A Collection of Classification & Regression Algorithms in Action
classification-algorithm jupyter-notebook jupyterlab keras matplotlib numpy pandas python python3 pytorch regression regression-models tensorflow
Last synced: 13 Apr 2026
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adam-optimizer ai ann artificial artificial-intelligence deep-learning from-scratch mlp neural-network numpy perceptron python
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https://github.com/henrique-efonseca/salary-range-distribution-tool
A web application to help job applicants propose an optimal salary within a given range using a normal distribution approach. Built with Python, Flask, Numpy, Scipy and JavaScript.
flask javascript numpy python scipy
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https://github.com/msikorski93/linear-regression-from-scratch
Different solutions of linear and polynomial regression made from scratch.
from-scratch linear-regression numpy polynomial-regression tensorflow
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machine-learning matplotlib numpy python scikitlearn-machine-learning seaborn
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joblib numpy pandas praw python scikit-learn textblob-sentiment-analysis yfinance
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Deep Learning course, Computer Science M.Sc., Ben Gurion University of the Negev, Israel, 2021
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numpy pandas python3 scikit-learn svm-classifier
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https://github.com/ksharma67/partial-dependent-plots-and-individual-conditional-expectation-plots
Individual Conditional Expectation (ICE) plots display one line per instance that shows how the instance's prediction changes when a feature changes. The Partial Dependence Plot (PDP) for the average effect of a feature is a global method because it does not focus on specific instances, but on an overall average.
eda gradient-boosting individual-conditional-expectation linear-regression matplotlib numpy pandas partial-dependence-plot python seaborn sklearn xgboost
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Notes and Code examples for Numerical Programming.
matplotlib numpy pandas python scipy sympy
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classification imdb matplotlib naive-bayes-classifier numpy pandas scikit-learn sklearn
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https://github.com/Kikobuf/3d-file-toolkit
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3d-printing 3mf ai-agent bambu chatgpt cluade cluade-code gemini manus numpy obj orca-slicer prusaslicer python stl
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This repository contains the implementation of a machine learning project aimed at predicting movie ratings based on user reviews and tags. The data used for this project comes from the MovieLens dataset, which includes ratings and tags for over 9000 movies collected from 1995 to 2016.
decision-tree-regression gradient-boosting-regressor linear-regression machine-learning matplotlib mlp-regressor numpy pandas python random-forest-regression scipy sklearn
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classification clustering crisp-dm data-cleaning data-visualization data-wrangling descriptive-statistics inferential-statistics inferre machine matplotlib numpy pandas pyplot recomendation-algorithm regresion-lineal seaborn skit-learn supervised-machine-learning
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linear-algebra matrix-libraries ndarray numpy
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Analyze the effect of global warming on the average temperature of some of USA states.
matplotlib-pyplot numpy python python-visualization
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https://github.com/pramodyasahan/learn-ml
This repository serves as both a personal learning diary and a resource for others interested in understanding and applying machine learning concepts. The projects are categorized based on the type of ML model and are implemented in Python using libraries like scikit-learn, pandas, and numpy.
classification clustering machine-learning matplotlib numpy pandas regression scikit-learn supervised-learning unsupervised-learning
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data-analysis data-science eda exploratory-data-analysis matplotlib-pyplot model model-building numpy pandas pre-processing predictive-modeling python seaborn
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https://github.com/NishuMehta/Netflix-Data-Analytics
Netflix Data: Cleaning, Analysis and Visualization
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https://github.com/HarshilChampaneri/Titanic_Survival_Prediction
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https://github.com/jigyasag18/fake-news-prediction-project
The Fake News Prediction App Repository offers a machine learning project that focuses on identifying the authenticity of news articles as fake or real. It uses a dataset of 20,000 articles and employs methods such as TF-IDF vectorization and the Porter stemming algorithm, achieving around 97% classification accuracy with logistic regression model.
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https://github.com/nellyndj52/breast-cancer-classification-ml
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https://github.com/aneeshmurali-n/ann-diabetes-prediction
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https://github.com/farzeennimran/fashion-mnist-dataset-classification-using-neural-network
Implementation of a Multi-layer Perceptron classifier with hyperparameter tuning and k-fold cross-validation employing GridSearchCV for classifying images on the Fashion MNIST dataset 👗👚👖
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https://github.com/jezbravo/lstm
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https://github.com/raksh710/diet_recommendation_fastembed
Recommends a recipe along with its full description using fastembed library and
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School21 Bootcamp Data Science
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https://github.com/MuhammedMorad/Egypt-Premier-Fashion-Sales-Analysis
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https://github.com/dmarks84/coursework_project_ml-classifier-eval-selection
Project for University of Michigan Applied Data Science Specialization -- Predicted viewer engagement based on features related to video metrics; evaluated a large set of classifiers under different scoring metrics to select the "optimal" one.
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https://github.com/josewebdev2000/mean-variance-calculator
My Solution to the first challenge of the Data Analysis with Python certification of Freecodecamp
data-science freecodecamp-challenge numpy python
Last synced: 20 May 2026
