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/frauvate/cheatsheet
This project provides ready-to-use templates for machine learning base models. This repo, which contains templates of common models in Jupyter notebook format, aims to help users quickly implement these models and easily adapt them to their own projects.
machine-learning machinelearning matplotlib numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/npodlozhniy/dl-tinkoff
This is a warehouse of my homeworks for master MIPT deep learning course from Tinkoff FinTech
Last synced: 08 May 2026
https://github.com/architj6/gesture-volume-control
Easily control your system volume with simple hand gestures! This project leverages OpenCV, MediaPipe, and Pycaw to track hand movements and adjust the system volume dynamically. Say goodbye to keyboard shortcuts and volume buttons—just move your hand to set the volume!
handgesture mediapipe numpy opencv os pycaw python python3 volume-control
Last synced: 03 May 2026
https://github.com/hmourad2023/tweets_sentiments_emotions_analysis
Les réseaux sociaux, et en particulier Twitter, sont des plateformes essentielles où les utilisateurs expriment leurs sentiments et émotions au quotidien. Analyser les tweets peut fournir des informations précieuses sur l’humeur collective et les préoccupations des gens. Ce projet utilise un dataset de tweets disponible sur Kaggle
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https://github.com/alphan26/breastcancerclassification
This project involves a binary classification problem where we applied PyTorch to detect breast cancer.
matplotlib numpy pandas python pytorch
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https://github.com/farhad-here/predict_student_performance
Predict Student Performance, is a data analysis and machine learning project aimed at predicting students' final performance (g3) based on demographic, family, and academic features. The project supports both Regression (predicting exact grades) and classification (Pass/Fail categories).
classification data-analysis data-visualization linear-regression machine-learning numpy pandas postgresql powerbi scikit-learn streamlit
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https://github.com/fanisgl/cnn_machine_learning
A Machine Learning exercise that trains Convolutional Neural Network (CNN) using the tensorflow 2 and Keras libraries to predict images from the CIFAR-10 dataset.
data-science keras machine-learning neural-networks numpy pandas pooling-layers relu softmax tensorflow2
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This repository contains my homework assignments completed during the "Data Analyst in IT" course at Data Loves Academy.
analytics data-analysis data-visualization excel mysql numpy pandas postgres powerbi python seaborn sql tableau
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https://github.com/csengupta1101/housing-price-prediction
Based on given features , this project deals with the prediction of house prices. From data extraction till deployment , everything is detailed in here.
jupyter-notebook matplotlib numpy pandas python python3 scikit-learn vscode
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The Hand Drawn Sketch Classification project uses PyTorch to classify hand-drawn sketches. It evaluates model Inception_v3, with Inception_v3 achieving the highest accuracy of 57%. The repository features scripts for dataset management, model training, and evaluation.
inception-v3 matplotlib numpy pandas python pytorch
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https://github.com/icepanorama/internship-visualizations-and-demonstrations
A collection of some of the programs that I've written over the course of my internship.
artificial-intelligence machine-learning matplotlib numpy pandas python3 pytorch scikit-learn
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Deep Learning Specialization by Andrew Ng on Coursera.
coursera coursera-deep-learning deep-learning keras keras-tensorflow numpy python tensorflow
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https://github.com/adi3042/sensor-fault-detection
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etl flask mvc numpy pandas python sqlite3
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MNIST classifier api
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https://github.com/juzershakir/predicting_boston_housing_prices
Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
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Adobe-Gensolve
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data-science data-visualization ensemble-model kaggle numpy pandas scikit-learn supervised-machine-learning
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Applying the Least-Square-Method to Curve-Fit in python using Numpy.
curve-fitting least-squares numpy
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https://github.com/dyarleniber/hands-on-machine-learning
This repository contains code examples, exercises, and projects related to the concepts covered in the book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition" by Aurélien Géron.
ai artificial-intelligence keras machine-learning matpolotlib numpy pandas scikit-learn tensorflow
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This repo contains weekly practical codes for my Python for Data Science course at university.
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This project presents an end-to-end data analysis and machine learning pipeline for predicting heart disease using a publicly available dataset. The project includes data exploration, visualization, and implementation of various machine learning models to predict the likelihood of heart disease based on a set of clinical attributes.
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https://github.com/chirindaopensource/search_benford_law_compatibility
End-to-End Python scalable forensic accounting toolkit implementing Benford's Law analysis for FTSE financial data. Delivers automated anomaly detection with Chi-Squared/MAD testing, comprehensive validation pipelines, and risk-based prioritization of investigative resources. Replicates Ausloos et al.'s (2025) methodology with full reproducibility.
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photo and album organizer for gtk3
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https://github.com/atul-maurya-30/galaxy
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flask machine-learning matplotlib numpy pandas python regression-classification seaborn sklearn
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https://github.com/junaidsumsaal/advanceparkingsystem
Its a web application that integrates AI-powered parking spot predictions, real-time notifications, and role-based dashboards for Drivers, Attendants, and Providers. This system is designed to streamline parking operations, enhance user experience, and leverage machine learning for future availability predictions.
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https://github.com/alefair/ds
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ipython jupyter matplotlib numpy pandas python sklearn
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https://github.com/hellymodikalpesh/numpy
This repository is designed as a comprehensive resource for learning the NumPy library. It covers nearly all functions and features of NumPy, providing a thorough exploration of its capabilities for numerical computing and data analysis.
Last synced: 28 Jan 2026
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jupyter-notebook keras numpy pandas pyhton scikit-learn sql tensorflow vscode
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https://github.com/adriantomin/bulldozer-price-prediction
Predicting the Sale Price of Bulldozers Using Machine Learning 🚜💰 This project uses machine learning to predict bulldozer sale prices based on historical data from the Kaggle Bluebook for Bulldozers competition. The goal is to minimize the RMSLE between actual and predicted prices.
data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn
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https://github.com/shreshthvashisht/bank-loan-case-study
Risk Analytics using Python
data-cleaning data-imputation data-normalization data-standardization exploratory-data-analysis jupyter-notebook loan-analytics loan-default-prediction matplotlib-pyplot numpy pandas python-data-analysis python-data-science risk-analysis seaborn-plots
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https://github.com/hafaio/homeotopy
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https://github.com/aaaastark/textclassification-nlp-project
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https://github.com/batthulavinay/which-anime-dominates-the-world
This Kaggle notebook analyzes the global popularity of anime across different countries. Using data visualization and statistical insights, we explore which anime dominate in various regions and uncover trends in global anime consumption.
data-visualization exploratory-data-analysis matplotlib numpy pandas python seaborn
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https://github.com/elmezianech/email-spam-ham-classifier-nb-hard
Naive Bayes Email Classifier: An implementation of a 'hard' Naive Bayes classifier in Python to categorize emails as spam or ham. This code performs extensive data preprocessing, probability calculations, and model training for email classification using the raw Naive Bayes algorithm.
ai emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering
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https://github.com/ggrbill/phd-plot-scripts
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hacktoberfest matplotlib numpy python
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https://github.com/anhquoc533/neural-network
A Neural Network framework for building Multi-layer Perceptron model.
artificial-intelligence artificial-neural-networks deep-learning framework machine-learning machine-learning-algorithms neural-network neural-networks numpy python3
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https://github.com/aniketwithpython/fundamentals-of-scientific-computing
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jupyter matplotlib numpy pandas python
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https://github.com/gusenov/max-empty-rect-py
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algorithm empty-spot graphics numpy python python-image-library python-library rectangle-detection
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https://github.com/rezasharifi82/lesson_extractor
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https://github.com/nirmaldeepponnada/codeclauseinternshipproject1
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kmeans logistic-regression numpy pandas python3 regular-expressions scikit-learn tf-idf-vectorizer
Last synced: 11 Apr 2026
https://github.com/saifalibaig/-online-retail-exploratory-data-analysis-with-python
Exploratory Data Analysis of an online retail store
data-analysis data-visualization matplotlib numpy pandas python3
Last synced: 11 Apr 2026
https://github.com/salvatoreamaddio/pipeline-assessment
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https://github.com/nourmorsy/topic_modelling
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https://github.com/alejandro945/insurance-risk
This project aims to predict the risk of insurance claims using a dataset from Kaggle. The dataset consists of 26 columns and 205 rows, providing various features related to insurance risk. By analyzing this data, we seek to build predictive models that can help insurers assess the risk of claims.
data-analytics ipython-notebook numpy pandas python
Last synced: 06 Feb 2026
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Streamlit app that parses Torn Add Listing text, matches items with a custom dictionary, fetches market data via the public API, and generates KPIs and price recommendations using a modular Python analytics pipeline.
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BELL’S PALSY SEVERITY DETECTION USING DEEP LEARNING
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Zero To Hero
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https://github.com/guy1998/synthetic-data-generator-for-event-cameras
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https://github.com/akibahmed229/development-of-intelligent
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