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/supriya811106/whatsapp-chat-analyzer-app
Analyze WhatsApp chats with Python, Streamlit, and data visualization. Explore messaging patterns, content trends, and emoji usage to uncover insights from your conversations.
analyzer-web-app chat-analytics chat-analyzer data-preprocessing data-visualization emojis machine-learning matplotlib natural-language-processing nltk numpy pandas plotly python3 seaborn sentiment-analysis streamlit-webapp text-analysis user-engagement
Last synced: 30 Dec 2025
https://github.com/miguelszzz/simple_mnist
Minimalist MNIST implementation with two hidden layers written in C
ddpm densenet-tensorflow generative-model image-processing keras machine-learning neural-network numpy scratch tensorflow-mnist-train transformer triplet-loss vit vit-mnist
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https://github.com/bearddan2000/python-web-3d-matplotlib-wireframe-graph
A demo of creating a 3d wireframe graph.
3d graph matplotlib numpy pandas python web wireframe
Last synced: 12 Apr 2026
https://github.com/AsuquoAA/Applied_Data_Science_with_Python_Study
matplotlib numpy pandas seaborn
Last synced: 21 Jul 2025
https://github.com/2kabhishek/ml-primer
Basic Machine Learning & Data Science in Python/ 📈🐍
jupyter-notebook machine-learning matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/rubada/machine-learning-with-ruba-dabbas
Advance your skills and start your career here, by taking the online courses on Intuidemy.
course learning machine machine-learning matplotlib matplotlib-pyplot models numpy pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/shreyazh/respire
To deal with Respiratory Challenges
machine-learning matplotlib numpy pandas pillow python scikit-learn seaborn
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https://github.com/sudarshanc00/mnist-digit-classification
This project uses a machine learning model to classify handwritten digits (0-9) from the MNIST dataset, a popular collection of grayscale images for image classification benchmarking. It includes a Jupyter Notebook to train a neural network, enabling accurate recognition and classification of digits.
jupyter-notebook matplotlib numpy python tensorflow
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https://github.com/abdulsamie10/convolutionneuralnetworkcifar-10
CNN applied on Cifar-10 database.
cifar-10 cifar-10-dataset cifar10 cnn colab-notebook convolutional-neural-network deep-learning jupyter jupyter-notebook machine-learning notebook numpy python python-3 python3 pytorch
Last synced: 12 Apr 2026
https://github.com/rayniel95/erecog
Simple ethnicity classifier using transfer learning with VGG. // unfinished
artificial-intelligence artificial-neural-networks artificialintelligence deep-learning deeplearning-ai ethnicity-classifier fairface-dataset jupyter-notebook keras machine-learning machinelearning machinelearning-python neural-networks notebook-jupyter numpy pandas-python python python3 sckit-learn
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https://github.com/marcelovilla/fire-congress-2019-tdf-talk
This repository contains the code used for the project presented in the "Fire activity on the Colombian Tropical Dry Forest: an environmental and social perspective" talk during the 8th International Fire Ecology and Management Congress.
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https://github.com/azaz9026/machine_learning_algorithms
Machine learning algorithms are computational models that allow computers to understand patterns and forecast or make judgments based on data without the need for explicit programming. These algorithms form the foundation of modern artificial intelligence and are used in a wide range of applications, including image and speech recognition.
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https://github.com/ankitmishralive/machinelearning
Continuously deep diving in understanding & advancing my expertise in Machine Learning through ongoing education and hands on experience with practical learning.
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https://github.com/subhamsarangi/pdnp
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https://github.com/ompreetham/nlp-sentiment-analysis-document-scoring-method
NLP Sentiment Analysis Document Scoring Method
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https://github.com/purcellcjp/credit-risk-classification
This project utilized Python and scikit-learn libraries to train and evalute a Machinge Learning model based on loan risk.
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https://github.com/anupreet02/deep-learning-challenge
The objective of this analysis is to develop a deep learning model capable of predicting whether a charity funded by Alphabet Soup is likely to be successful. The model is built using the charity dataset, which contains various features related to each charity, and is used to classify charities as successful or not based on these features.
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https://github.com/renukadhule/crop_production_python_analysis
This project analyzes crop production data in India from 1997 to 2015, identifying trends, seasonality, and top-performing states and crops. The insights aim to guide improvements in agricultural productivity and policy decisions.
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https://github.com/necraul/perlin-noise-py
Some examples of generating perling noise using Python
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https://github.com/alainlebret/python-et-ia-2
Personal resources from my course "Python & IA"
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https://github.com/ewdlop/computational-physcis-notes
Computational Physics written in Python
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https://github.com/elifftosunn/data-labeling
Bu araç veri kazıma aşamasından sonra verilerin istenilen kategoriye göre etiketlenmesi ve kullanılmayacak olan verilerin database'ten silinmesi ile makine öğrenmesi modellerini kullanmak için etiketleme adımınını otomatikleştirmek amaçlı yapılmıştır.
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Live Data Analyst Projects.
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https://github.com/nambukeerthi/youtube_dataproject
Build a Streamlit App – A user-friendly interface. Use Google API – Fetch YouTube channel data. Store in SQL Database – Save channel details for easy access. Search & Join Tables – Allow users to query and view data
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Q11) Suppose we want to estimate the average weight of an adult male in Mexico. We draw a random sample of 2,000 men from a population of 3,000,000 men and weigh them. We find that the average person in our sample weighs 200 pounds, and the standard deviation of the sample is 30 pounds. Calculate 94%,98%,96% confidence interval?
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https://github.com/murugavl/loan_approval_prediction
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https://github.com/pedasoft-consult/house-price-prediction
This project is a machine learning-powered web application for predicting house prices based on various features such as area, bedrooms, bathrooms, and more. It uses Flask for the backend and HTML/CSS/JavaScript for the frontend.
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https://github.com/bachboy0/montecarlo
Python-based Monte Carlo simulations for statistical analysis and modeling.
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https://github.com/dineshdhamodharan24/industrial-copper-modeling
It seems like you have a project that involves modeling industrial copper data using Python and several libraries such as pandas, numpy, and scikit-learn. This is a common and practical approach, as these libraries are widely used for data manipulation, analysis, and machine learning tasks.
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Sentiment analysis of tweets using TextBlob for labeling and RandomForest for classification.
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https://github.com/nabilshadman/python-uk-weather-analytics
An end-to-end data science workflow of UK weather data
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https://github.com/ellennewerkla/apriori-analise_cesta_de_mercado
Análise de Cesta de Mercado (Market Basket Analysis) utilizando o algoritmo Apriori para identificar regras de associação entre produtos em um conjunto de transações de supermercado.
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https://github.com/williamfridh/umu_5tf078_paper_keyboard_tracker
Project exploring how a CNN alongside computer vision can be used to detect drawn keys and track finger input,.
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This is a case study based on data retrieved from a Fitbit band, and we are making predictions about human behavior based on their mood.
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https://github.com/preethiphilip/prosper-loan-data-analysis
This project explores the Prosper loan dataset to uncover trends, borrower behaviors, and factors influencing loan performance. Using Python and data visualization techniques, the analysis examines key variables such as credit scores, loan status, income ranges, and debt-to-income ratios to gain insights into credit risk and lending patterns.
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https://github.com/miss-mhv/udacityproject_dataviz
Data analysis of a bicycle rental system. The goal is to understand how trips are made according to age, time of year, day of the week, time of day
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https://github.com/rajsinha7/hand-gesture-recognition
This project serves as a foundation for integrating hand gesture controls into interactive applications like games, presentations, or robotic controls. It features: Real-time hand tracking with MediaPipe Hands and Live visualization of hand landmarks and gesture labels
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https://github.com/alinenog/desenvolve_gb_2022
Formação Desenvolve 2022 do Grupo Boticário na área de dados
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https://github.com/vvipjain/iphone-sales-analysis
Iphone Sales Analysis
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https://github.com/kucera-lukas/imagesecrets
RESTful API for encoding/decoding messages into/from images.
api asyncio docker fastapi heroku mypy numpy pillow poetry postgresql pydantic pytest pytest-cov pytest-mock python python-typing restful-api steganography swagger tortoise-orm
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https://github.com/trainingbypackt/hands-on-machine-learning-with-python
Structure, build, and deploy machine learning projects
machine-learning numpy pandas python scikit-learn scikitlearn-machine-learning
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https://github.com/vasu7052/recognizing-handwritten-digits
This is a machine learning project created in Python using Neural Networks and Supervised Learning Algorithms.
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My Solutions to the course Deeplearning.ai
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https://github.com/mahdibehoftadeh/polynomial-regression-co2-emissions
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https://github.com/goessl/adjugate
A package for calculating submatricies, minors, adjugate- and cofactor matrices.
adjugate cofactor determinant inverse linear-algebra matrix minor numpy python submatrix
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https://github.com/siddhi-c19/tourism_sid_tournaut
A comprehensive analysis of tourism data of various countries
data-science dataset mathplot mathplotlib numpy plotly statistics streamlit
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https://github.com/athul64/tmdb-dataset-analysis
This data set contains information about 10,000 movies extracted from TMDB. The dataset contains movies from 1960 to 2015. Including user ratings and revenue. Original data from Kaggle.
data-visualization dataframe eda numpy pandas python
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https://github.com/ljadhav25/data-engineering-poc
This repository contains a beginner-level Data Engineering Proof of Concept (POC) project designed for practice. The objective is to provide hands-on experience with data engineering concepts, including data extraction, transformation, loading (ETL), and basic data analysis. This project is ideal for those looking to build foundational skills in da
data-analysis etl matplotlib numpy pandas python
Last synced: 13 Apr 2026
https://github.com/cezlul/analyse-ventes-immobilier
Solution ML d'analyse immobilière parisienne : classification automatique appartements vs commerces (K-means, 91%) et prédiction prix (régression, R²=0.98) sur 26K transactions. Valorise portefeuille 169M€ avec recommandations stratégiques data-driven.
data-analysis jupyter-notebook machine-learning matplotlib numpy pandas python sklearn
Last synced: 13 Apr 2026
https://github.com/georgehanymilad/diabetes-detection
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anaconda classification classification-algorithm data-science dataanalysis kaggle machine-learning machine-learning-algorithms matplotlib numpy pandas python python3 seaborn
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https://github.com/waghraj1699/sms-spam-detection
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https://github.com/oleksiilatypov/titanic_ml
Titanic Survival Prediction using ML and Flask Deployment.
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https://github.com/danhenriquex/data_science_and_machine_learning
A.I, Data Science & Machine Learning and Deep Learning with Tensorflow
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https://github.com/debjyotisaha/deep-learning-projects-phase-1
Deep Learning Projects which demonstrate the use of Python and its complex ML algorithms
deep-learning machine-learning neural-network numpy opencv pandas python seaborn streamlit
Last synced: 13 Apr 2026
https://github.com/armahdavi/data_analytics_statistics_plotting_pm_airborne_sampling
All codes for the data pipelines processing, statistical modellings, descriptive statistics and plot visualizations from airborne phase of Mahdavi et al. (2021) (Environmental Pollution) Project Miestone: 2018 - 2021
data-science data-visualization machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats statistics
Last synced: 13 Apr 2026
https://github.com/anarya22/accenture-north-america-data-analytics-and-visualization-job-simulation-on-forage
Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture. Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions. Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.
analyzing-visualization data-cleaning data-visualization numpy pandas powerbi powerpoint-presentations
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https://github.com/athari22/investigating-netflix-movies-and-guest-stars-in-the-office
Apply basic Python skills in Introduction to Python and Intermediate Python by processing and visualizing film and television data.
data-analysis data-science data-visualization loop loops matplotlib matplotlib-pyplot netflix numpy office pandas python
Last synced: 11 Apr 2026
https://github.com/mosalem149/data-mining-assignments
That repo for data mining quizzes and tasks.
anaconda data-mining dataframe jupyter-notebook matplotlib mlxtend numpy pandas python quizzes scikit-learn seaborn tasks
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https://github.com/evan-dg31/data-science
Exploratory Data Analysis (EDA), Predictive Modeling (Supervised and Unsupervised), Regression, Classification, Clustering
classification clustering data-analysis data-science data-visualization machine-learning matplotlib numpy pandas python regression-analysis seaborn
Last synced: 13 Apr 2026
https://github.com/tharushiimasha/python-practice
This repository contains Python programs and exercises from practice sessions. It covers Python basics, file handling, and libraries like NumPy and pandas for data manipulation.
api-integration csv-files file-handling json-files jupyter-notebook numpy oops-in-python pandas python web-scraping
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https://github.com/danaelshrbiny10/gold-prices
The Egypt Gold Prices project is a data analysis and visualization initiative that focuses on tracking and understanding the daily gold prices in Egyptian pounds per gram.
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https://github.com/raghavendranhp/youtube_data_harvesting
The "YouTube Data Analyzer" is a versatile tool for businesses and content creators, enabling them to gather, analyze, and harness valuable insights from multiple YouTube channels. With streamlined data collection, storage in MongoDB, migration to SQL, and a user-friendly Streamlit interface, it empowers users to make data-driven decisions
apiintegration data datacollection eda googleapi googleapiclient matplotlib mongodb mysql mysqlconnector numpy oops pandas pymongo python pythonoops sql sqlalchemy streamlit youtube-api
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Classical prediction of future data using models trained by labeled data
numpy pandas scikit-learn supervised-machine-learning
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https://github.com/venkat-0706/accenture-hackathon
Developing an e-commerce recommendation system involves utilizing technologies such as Python for programming, Pandas for data manipulation, SQL for database management, FastAPI for building APIs, PostgreSQL for data storage, and Docker for containerization.
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https://github.com/asier-ortiz/python-for-data-science-and-machine-learning-bootcamp
Python for Data Science and Machine Learning Bootcamp: NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, TensorFlow, and more
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https://github.com/fearless-spider/spideroptic-cli
Spider Optic CLI is a command line application.
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https://github.com/harmanveer-2546/world-best-cities
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https://github.com/hootbu/cyberpunk-filter-desing
This project aims to design filters with a cyberpunk aesthetic by performing low-level image manipulation in Python.
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Last synced: 08 May 2026
https://github.com/csengupta1101/rock-paper-scissor-game
Rock Paper Scissor game built with Python 3. Jupyter notebook used as IDE. Code File , Read Me attached herewith.
game if-else-statements numpy python python3 random
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https://github.com/prowilliam/maze_generator
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https://github.com/alex1iv/asr_ru_numbers
Automatic Speech Recognition (ASR) system for Russian digits
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https://github.com/zvdy/movie_recommendation
Movie Recommendation Search Engine using Jupyter Notebooks, Pandas, Nnmpy, SciKit Learn, IPyWidgets
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https://github.com/suresh-28/weather-forecasting-using-machine-learning
Weather Forecasting using machine Learning in python
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Try to play with Cognitive Services!! [Cognitive Services] [OpenCV] [Numpy]
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Análise de Series Temporais do Consumo de Energia da Alemanha.
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https://github.com/ondiekelijah/shadowcoach-formtracker
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Analysis of Covid-19 Infection rate and the world happiness report to identify if there is any relationship between infection rate and happiness
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https://github.com/bhanuprakashnani/scit-tasks
Tasks for the SCIT Work Shop.
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https://github.com/vishal815/python-based-flight-data-scraping-automating-data-collection-for-analysis
This project is a Python-based web scraping script designed to extract flight details from the Yatra travel website. The extracted data includes flight pricing, origin, destination, departure and arrival times, and duration. The data is then saved into a CSV file for further analysis.
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https://github.com/max134/deepplate
A custom-trained YOLOv11-based license plate detection with PaddleOCR for accurate ANPR.
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Trained machine learning algorithms (Logistic Regression, KNN, SVM, Decision Tree) specifically, after performing visualization and pre-preocessing tasks on a loan dataset. Executed the evaluation metrics such as F1-score, Log loss and jaccard-similarity score to assess the algorithms performance.
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https://github.com/itshyphen/mass-mailing-script
A simple mass mailing script that sends personalized email to multiple emails importing from csv
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https://github.com/a-parida12/numericalmethods
Teaching Material for Workshop for Engineering Students
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https://github.com/subhas-pramanik-09/car-detection-and-counting
This project counts the number of cars passing through a designated line in a video file using OpenCV and background subtraction techniques.
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https://github.com/fearless-spider/ai_with_python
AI with Python playground
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https://github.com/tnleite/loan-approval-prediction
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https://github.com/msikorski93/Linear-Regression-From-Scratch
Different solutions of linear and polynomial regression made from scratch.
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