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/riju18/from-data-production-to-client-handover
The common tedious problem is to build a data app to demonstrate the data analysis & analytics along with Machine Learning to a client. It was an attempt to do it on small scale in the most powerful & simplest way.
machine-learning matplotlib numpy pandas plotly python seaborn streamlit
Last synced: 30 Apr 2026
https://github.com/lmizner/grokking_data_science
Coding practice for basic data science interview questions in Python
data-science numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/samir-atra/license-plate-recognition
License plate recognition system
imageai-library knn lpr numpy object-detection opencv python tensorflow tensorflow-tutorials
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https://github.com/anas436/python
This is Python Programming Language. Here, the basic problems of Python language have been solved. If you can solve these problems then your basic skills will be developed in this language and you will be suitable for doing good projects.
jupyter-notebook jupyterlab numpy pandas pycharm python3 watson-studio
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https://github.com/ksharma67/anomaly-detection-on-temperature-device-failure
A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.
eda ellipticenvelope feature-engineering gaussian-distribution isolation-forest kmeans-clustering numpy pca python sklearn
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https://github.com/gregoritsch3/ml_eda_clustering_aidassessment
An EDA and Machine Learning Clustering exercise on the Country Aid Assessment dataset demonstrating the use of PCA, KMeans and DBSCAN clustering, Elbow Methods, etc. The clustering algorithm successfully demarcates countries that are in most dire need of aid based on their GDPP and Child Mortality rate.
anova dbscan kmeans machine-learning matplotlib numpy pandas pca scikit-learn seaborn statistics
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https://github.com/kishanlalchoudhary/be-sem-7
BE SEM 7 Assignments
blockchain cpp design-analysis-algorithms machine-learning matplotlib numpy pandas scikit-learn seaborn
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https://github.com/felinjob/ibm-applied-data-science-capstone
Este projeto, parte da especialização IBM Data Science Professional Certificate, prevê o sucesso do pouso do Falcon 9 da SpaceX. Usando dados da API da SpaceX e Web Scraping, o projeto inclui análise de dados e Machine Learning para gerar insights sobre os lançamentos.
data-analysis data-science data-visualization ibm jupyter-notebook machine-learning numpy pandas python scikit-learn seaborn sql
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https://github.com/jonad/boston_housing_price
Predicting Boston Housing Prices.
boston-housing-dataset jupyter-notebook matplotlib numpy pandas python3 scikit-learn
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https://github.com/rock12231/data-science-using-python-jupyter-notebook
Data Science Using Python Jupyter Notebook
data-science jupyter jupyter-notebook numpy pandas python
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https://github.com/charles-l/rayboi
a raytracer written in futhark/python
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https://github.com/vishnu-vamshii/heart-disease-prediction-using-ml
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.
machine-learning matplotlib numpy pandas python seaborn sklearn
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https://github.com/eljandoubi/genre_classification
Create an ML pipeline for Genre Classification using MLflow.
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https://github.com/nishi1612/knight-tour-problem
IT485 Logic of Inference Project on Knight's Tour. A hamiltonian path problem to determine path of knight to travel entire chessboard with every cell visited only once.
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Python script(s) for visualizing corona data
csv json matplotlib numpy pandas python requests tkinter
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https://github.com/amanda-ucc/market-tracker
Automated portfolio creator that generates a portoflio which mimics a bench mark index by minimizing the tracking error.
beta covariance numpy pandas scipy sharpe-ratio tracking-error variance yfinance
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https://github.com/dastogirrudro/machine-learning-and-deep-learning
This is my thesis project which i have done in varsity.Here i used machine learning and deep learning i used LSTM as deep learning.This can identify aggresive spam message. Here i used pandas scikit-learn and many more framework i used python as a programming language.I used many algorithm for highering the accuracy of my project.
deep-learning lstm machine-learning numpy pandas python scikit-learn
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https://github.com/matbesancon/kaggle-digit-recognizer
Some tests with the Kaggle Digit Recognition challenge
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https://github.com/udhaya2823/dataspark-illuminating-insights-for-global-electronics
✨DataSpark✨ is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.
data-science data-visualization database-management datacleaning exploratory-data-analysis matplotlib numpy pandas powerbi python seaborn sql version-control
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https://github.com/athari22/mean-normalization
Mean Normalization
jupyter-notebook mean normalization numerical-analysis numpy numpy-exercises python python3
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https://github.com/project54321/stocksniper
"An interactive Stock Dashboard that visualizes historical prices, calculates key financial metrics, displays fundamental statements, and aggregates the latest news for any ticker — all in a sleek, easy-to-use Streamlit interface."
alphavantage finance numpy pandas plotly pypi python stock-market stocknews streamlit
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https://github.com/rggh/satchad
findthatbit.com + findthatbit.info
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https://github.com/ikbalcaus/HandSketch
Drawing on Canvas with Hand Gestures + AI for Letter Recognition
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https://github.com/mohamed-taha-essa/hands-on-machine-learning-sikitlearn
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🧠 Rede Neural Artificial construída do ZERO (só NumPy) para detectar fraudes em transações | Forward/Backward Propagation | Sigmoid | Gradiente Descendente
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https://github.com/guru-bharadwaj20/saliency-maps
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https://github.com/bhuvan-s-prasad/streamlit-regression
A machine learning project that predicts housing prices in California using regression techniques. This project includes comprehensive exploratory data analysis, feature engineering, linear regression modeling, and an interactive Streamlit web application for making predictions.
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GitHubIoT is a comprehensive toolkit designed to simplify the visualization of IoT (Internet of Things) data with seamless GitHub integration. The application provides an intuitive graphical interface for real-time data monitoring, analysis, and configuration
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This repository explores and compares different regression models for predicting continuous outcomes. This repository includes implementations and evaluations of five key regression models. The primary goal is to demonstrate how each model works, evaluate their performance using R-squared values, and guide users in selecting the best model.
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🌡️ 2100년까지의 지구 기온, 해수면, 북극 빙하, 탄소 예측 ML [완료]
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With Earth’s habitability under strain, we ask: which known exoplanets could humans live on? Using NASA’s Exoplanet Archive, we score planets 0–1 (1 ≈ Earth) from five Earth-normalized features to rank top candidates.
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https://github.com/abhi227070/wine-quality-prediction
The Wine Quality Prediction project utilizes machine learning to assess wine quality based on various parameters. It offers a user-friendly interface built with Streamlit for easy interaction. Deployed on AWS, it provides scalable access to quality predictions for wine batches.
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https://github.com/hitthecodelabs/weatherforecast-lstm
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https://github.com/aciluca/credit-approval-system
A machine learning application to predict credit card approval using Python, TensorFlow, and Docker.
data-science keras machine-learning numpy pandas python sklearn tensorflow
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https://github.com/f-ssemwanga/advanced-programming-york
This repository holds the extensive python programming completed during the advanced programming unit of my master's programme
comprehension csv-parser json lambda-functions list matplotlib mongodb numpy oops-in-python pandas-dataframe postgresql python3 tkinter-gui
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https://github.com/madhurjain/carnd-traffic-sign-classifier-project-2
CarND Traffic Sign Classifier Project #2
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https://github.com/sohan181204/airline-ticket-price-analysis
The analysis of airline ticket prices explores the dynamic and competitive nature of the aviation industry in India. With rapid economic growth and increasing air travel demand, understanding ticket price trends is crucial for airlines, passengers, and policymakers.
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https://github.com/arnauog/ironhack_data_analytics
Weekly labs to practice everything taught in class during the Data Analytics bootcamp of Ironhack in Barcelona of Sept 2024 - March 2025.
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The Jupyter Notebook (ipynb file) contained within this repository serves as the primary codebase for this project. It demonstrates how to preprocess the input data, train the logistic regression classifier, evaluate its performance, and save the trained model for future use.
collab jupyter-notebook matplotlib-pyplot numpy pandas python sklearn
Last synced: 11 Apr 2026
https://github.com/rakibhhridoy/differentprojects
Some of my learning projects that I practice to launch in data science. Not all, but some of few that was stored in my local repository. It can be useful for beginner data science enthusiast. Explore and learn!
data-science deep-learning machine-learning mathematics matplotlib numpy pandas python scikit-learn seaborn statistics
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The LSTM Next Word Prediction project trains a model on Hamlet to predict the next word in a sequence. After preprocessing the text, an LSTM network learns patterns in the language. The trained model can then generate text by predicting the next word in a given sequence, with its accuracy evaluated to ensure it effectively models the language.
deep-learning github hamlet lstm lstm-neural-network lstm-neural-networks machine-learning neural-network nltk numpy pandas pickle python
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https://github.com/amiriiw/text_classification
Welcome to the Text Classification Project! This project is designed to train a model for classifying texts based on their emotional content and then using it to categorize new texts into corresponding emotional categories.
keras numpy pandas pickle scikit-learn tensorflow text-classification
Last synced: 20 Jan 2026
https://github.com/guptamudit/whatsapp-chat-analyser
Created an online Whats App chat analysis tool which is designed to extract valuable insights from your group or one-on-one conversations. By analyzing your chat data, WhatsChat provides detailed statistics and visualizations.
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https://github.com/pd2871/streamlit_automl
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https://github.com/vyjayanthipolapragada/fraud_detection_creditcard
Detecting the fraudulent credit card transactions by training Decision Tree model using Scikit-learn and SnapML
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Last synced: 11 Apr 2026
https://github.com/nagipragalathan/zk-connect
In the conventional hiring process, candidate applications are met with limited assessment, leaving the crucial task of evaluating suitability to recruiters. ZKConnect disrupts this norm by introducing a transformative approach.
css django html nextjs numpy opencv pandas python
Last synced: 11 Apr 2026
https://github.com/akibahmed229/development-of-intelligent
development of intelligent
data-science jupyter-notebook machine-learning metaploit natural-language-processing numpy pandas python skit-learn terraform
Last synced: 11 Apr 2026
https://github.com/shwetajanwekar/hr-data-analytics
Analyze the HR data through exploratory data analysis, we identified key factors influencing employee attrition, satisfaction levels, and performance. Machine learning models enabled us to predict employee churn and classify potential candidates for promotion.
matplotlib numpy pandas seaborn
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https://github.com/kzon94/torn-market-analyzer
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.
data-analysis data-engineering fuzzy-matching market-analytics numpy pandas python streamlit torn-city torn-city-api
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https://github.com/zhanziyuan/pixelpuzzle-web
Encode/decode images using Base64 or shuffle/recover the pixels of images.
anime encryption image image-processing numpy python
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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/nirmaldeepponnada/codeclauseinternshipproject1
This project involves Customer Segmentation using K-Means clustering to group customers based on Recency, Frequency, and Monetary (RFM) analysis from the Online Retail dataset. It also performs Sentiment Analysis on Amazon Product Reviews using Natural Language Processing techniques & Logistic Regression to classify reviews as positive or negative.
kmeans logistic-regression numpy pandas python3 regular-expressions scikit-learn tf-idf-vectorizer
Last synced: 11 Apr 2026
https://github.com/hariprasath-v/av-dataverse-hack---insurance-claim-prediction
Create a machine learning model to predict if the policyholder will file a claim in the next 6 months or not based on the set of car and policy features.
analyticsvidhya classification exploratory-data-analysis f1-score matplotlib numpy pandas python randomforest-classification scikit-learn seaborn shap
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https://github.com/yelypk/nasa-farm-navigators
NASA Space Apps Challenge Hackathon
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https://github.com/kersh1337228/tradenv
Trading strategies testing environment based on open stock market data
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https://github.com/kaguya163/marketing_campaigns
Анализ маркетинговой эффективности в спортивном ритейле.
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https://github.com/rutujaingole/jailbreaking-deep-models
This repository contains the codebase for Jailbreaking Deep Models, which investigates the vulnerability of deep convolutional neural networks to adversarial attacks. The project systematically implements and analyzes Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and localized patch-based attacks on the pretrained
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https://github.com/adi3042/sensor-fault-detection
🔍⚙️ Ensure Reliable Operations! Detect anomalies and prevent disruptions with our Sensor Fault Detection system. Explore advanced classification and regression techniques to identify and address sensor faults effectively. Your path to robust and accurate sensor data begins here! 🚨🔧 SensorFaultTech
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https://github.com/tanmay-312/pacman-game-python
"Embark on a nostalgic journey with my Python Pac-Man game! 🎮🕹️ Crafted using pygame, tcod, numpy, and enum libraries, it's a modern twist on a classic. Navigate the maze, chomp pellets, and evade ghosts in this retro-inspired adventure! 🚀👻 #PythonGameDev #PacManRevival #ClassicGaming"
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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/nishantksingh0/twitter-sentiment-analysis
A ML/DL based Twitter sentiment analysis model based on Transformer based pretrained Encoding on sentence
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Last synced: 11 Apr 2026
https://github.com/doondigangadhar30/ghiblify-animeganv3
A creative tool that generates beautiful Ghibli-style artwork from your image input.
colab-notebook jupyter-notebook numpy onnxruntime opencv python
Last synced: 01 Jul 2025
https://github.com/alaazameldev/text-based-search-engine
Implementation of a search engine using TF-IDF and Word Embedding-based vectorization techniques for efficient document retrieval
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Last synced: 20 Jan 2026
https://github.com/jaygaha/ai-mastery-roadmap
A collaborative AI learning roadmap. I'm documenting my journey from grasping the fundamentals of Python to mastering Machine Learning. Feel free to fork and contribute — let's build our AI skills together!
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Last synced: 18 Jan 2026
https://github.com/niteshchawla/yulu-hypothesistesting
Yulu has recently suffered considerable dips in its revenues. They have contracted a consulting company to understand the factors on which the demand for these shared electric cycles depends. Specifically, they want to understand the factors affecting the demand for these shared electric cycles in the Indian market.
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Last synced: 20 Apr 2026
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script en python3 para obtener la velocidad de una placa orificio mediante tanteos
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Last synced: 01 May 2026
https://github.com/pakagronglb/istanbul-restaurant-tips-prediction
This project focuses on predicting restaurant tips in Istanbul using machine learning techniques, specifically Linear Regression. The analysis includes data preprocessing, exploratory data analysis (EDA), model training, and evaluation.
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A python library for converting between d-dimensional points and indices on a hilbert curve
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https://github.com/pymivn/vinastats
Khám phá các sự thật ở Việt Nam với thống kê và số liệu từ tổng cục thống kê Việt Nam
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This project aims to create a smart attendance system using face recognition technology. The system captures and recognizes faces in real-time and marks attendance automatically, providing a seamless and efficient way to manage attendance records.
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Using python,numpy,pandas,seaborn,matplotlib and machine learning techniques
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https://github.com/codeslash21/data_analyst_nanodegree
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https://github.com/maruf346/python-programs
Here some basic python programs are uploaded. Find your needed one. Happy coding!
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https://github.com/prakshal0809/machine_learning_algorithms
This project showcases basic machine learning programs I developed during my studies, written in Python, intended for educational use or as a foundation for more advanced projects.
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Last synced: 12 Apr 2026
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Ventas con facturas
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A self-evolving AI biosphere leveraging LSTM/REINFORCE for adaptation.
ai artificial-intelligence biology deep-learning devops evolutionary-algorithms machine-learning mlflow mlops numpy python3 pytorch reinforcement-learning simulation torch
Last synced: 12 Apr 2026
https://github.com/sonatipek/matris_transactions_py
My "Python Programlama-I" lesson's homework. Some matris transactions with numpy library in Python
matrix numpy numpy-arrays python sonatipek
Last synced: 24 Mar 2025
https://github.com/prarthana-singh/potato-disease-classification-using-deep-learning
🌱 Potato Disease Classification using Deep Learning – A deep learning-based model to detect and classify potato plant diseases using image processing and CNNs. Built with TensorFlow/Keras & Python.
agriculture cnn deep-learning image-classification keras machine-learning neural-network numpy pandas plant-disease-detection python3 streaming tensorflow
Last synced: 12 Apr 2026