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/rohitinu6/image_cartoonify
To Cartoonify an Image using opencv-python
image-processing matplotlib numpy opencv opencv-python python
Last synced: 12 Apr 2026
https://github.com/prashhhant213/customer-behavior-analysis-for-walmart-black-friday-sales
This project is a Walmart case study analyzing customer purchase behavior by gender and demographics to inform business decisions, especially around spending habits during events like Black Friday.
matplotlib numpy pandas python scipy seaborn
Last synced: 06 Jan 2026
https://github.com/hrolive/fundamentals-of-accelerated-data-science
How to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results.
accelerated-computing bokeh cudf cugraph cuml cupy dask data-science jupyter numpy pandas python rapids xgboost
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https://github.com/apal21/tensorflow-linear-regression-fit-data
Fit a line passing through data with some random noise using Tensorflow linear regression with Gradient Descent Optimizer.
gradient-descent linear-regression numpy python3 tensorflow
Last synced: 12 Apr 2026
https://github.com/amira921/eda-and-visualization-netflix-movies-and-tv-shows
EDA for Netflix Movies and TV Shows
datacleaning datamanipulation datapreprocessing datavisualization exploratory-data-analysis insights matplotlib numpy pandas python
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https://github.com/data-analysis-python/pandas_api_spark
Uso del API de pandas en Spark
envs jupyter-notebook matplotlib numpy pandas pyspark python3 terminal
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https://github.com/armahdavi/mlops
Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.
apache-beam docker fastapi logistic-regression mlops mlops-workflow numpy random-forest sklearn tensorflow-extended unicorn xgboost
Last synced: 12 Apr 2026
https://github.com/nadahamdy217/movies-data-etl-using-python-gcp
Developed a comprehensive ETL pipeline for movie data using Python, Docker, and a GCP Pub/Sub emulator. Successfully processed and published the data in a local Docker environment, showcasing advanced data engineering skills.
analytics data data-engineering data-ingestion data-preparation data-preprocessing data-processing data-project docker etl etl-pipeline gcp matplotlib matplotlib-pyplot numpy pandas pubsub python scipy seaborn
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https://github.com/lijesh010/employeeanalysis-
This is a simple data analysis project developed as part of my Entri Elevate Data Science and Machine Learning course. It serves as a practical demonstration of my skills in data analysis.
jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/rizkyrajitha/ann_101
A really simple neural network for binary classification written from scratch using python
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https://github.com/armahdavi/data_pipeline_analytics_statistics_ml_pm_psd_residential_qff
Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782
data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics
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Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.
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https://github.com/Sadegh-Khedry/Pneumonia-Detection-Using-CNN
Classifying chest X-ray images into two categories: Pneumonia or Normal using a Convolutional Neural Network (CNN).
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https://github.com/shivsharcode/diabetes-prediction-new
DIABETES PREDICTION MODEL
flask jupyter-notebook logistic-regression machine-learning matplotlib numpy pandas python scikit-learn
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eda encoding evaluation-metrics kaggle-competition lightgbm-regressor machine-learning matplotlib-pyplot neural-networks numpy pandas preprocessing python ridge-regression scikit-learn seaborn tensorflow xgboost-regression
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https://github.com/the-developer-306/fake-review-detector
This project is a machine learning-based review classification system that predicts whether a product review is GENUINE or FAKE. It preprocesses review text, analyzes sentiment, and uses numerical features like ratings and helpfulness to make predictions. The model is deployed via a Flask web application for user interaction.
classification flask logistic-regression machine-learning numpy pandas python renderdeploy scikit-learn sentiment-analysis
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https://github.com/skywalkerSam/Python-101
Introduction to Python 3
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https://github.com/nakshjainsonigara/football-eda
This EDA offers a comprehensive exploration of football analytics, leveraging Python libraries to analyze players, club games, and various other aspects of the sport. Through statistical analysis and visualization, we uncover insights into player performance, club strategies, and league dynamics providing valuable insights for football enthusiasts.
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Last synced: 07 Jan 2026
https://github.com/hariprasath-v/av_job-a-thon-august-2022
Build a Machine Learning model to predict the CTR(click through rate) of an email campaign based on the email campaigning information.
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https://github.com/aqueeqazam/numpy-for-mathematical-computing
You're at the perfect spot if you're interested in developing your career in data science or machine learning, or if you just enjoy having fun with mathematical operations.
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CNN kullanarak Orman Yangını Tahmin/Tespit Sistemi
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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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Project for Data Science
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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/karanyeole/movie-rating-analysis
analyzing movie ratings from various sources to gain insights into audience preferences, trends, and patterns in movie ratings. The project utilizes data analysis and visualization techniques to explore and interpret movie rating data, providing valuable information for movie enthusiasts, filmmakers, and industry professionals.
matplotlib numpy pandas python seaborn
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IPython Notebook(s) demonstrating NumPy functionality.
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A python project for detecting fake news using machine learning algorithms.
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https://github.com/kartikeya443/handgesture_vol_control
This OpenCV project enables remote control of sound playback using wireless communication. It lets users adjust the master volume of the central device using finger gestures, enhancing convenience and user experience.
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https://github.com/allanotieno254/pinecone-index-creation-vector-store-database-
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This is a machine learning project created in Python using Neural Networks and Supervised Learning Algorithms.
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https://github.com/athul64/tmdb-dataset-analysis
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data-analysis jupyter-notebook machine-learning matplotlib numpy pandas python sklearn
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https://github.com/lexiortiz/ibm-data-engineering-fundamentals
Notes, exercises, and projects from the IBM Data Engineering Fundamentals path via Verizon Skill Forward.
data-engineering numpy pandas postegresql python sql
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https://github.com/georgehanymilad/diabetes-detection
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data-science data-visualization machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats statistics
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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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This project predicts whether a visitor to an e-commerce website will make a purchase based on their browsing behavior. It includes data analysis, preprocessing, and machine learning modeling to understand online shopping patterns.
matplotlib matplotlib-pyplot numpy pandas python3 sklearn tensorflow
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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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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
Last synced: 13 Apr 2026
https://github.com/blairnangle/python3-numpy-ta-lib
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Last synced: 13 Apr 2026
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.
alembic api docker fastapi machinelearningalgorithms matplotlib numpy postgresql pydantic python3 scipy seaborn sqlmodel
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https://github.com/annygutierrez/bank-ann
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keras matplotlib numpy pandas sklearn
Last synced: 13 Apr 2026
https://github.com/archishmansengupta/dnn
Digit Neural Network is a digit recognition network based on MNIST data set using numpy, pandas and matplotlib
matplotlib mnist neural-network numpy pandas python
Last synced: 13 Apr 2026
https://github.com/harmanveer-2546/tweets-cleaning-with-python
Twitter is one of the most used data sources for data analysis. The reason is that it’s open and free to collect unless you subscribe to the paid version one. Besides, it’s pretty simple to collect data from it.
filtering function-calling nlptk numpy os pandas punctuation python re removing-links tokenization tweet-cleaning twitter-data-analysis twitter-sentiment-analysis
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https://github.com/csengupta1101/rock-paper-scissor-game
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game if-else-statements numpy python python3 random
Last synced: 11 May 2026
https://github.com/charanpool/image-patch-mapping
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canny-edge-detector computer-vision edge-detection image-processing numpy opencv python sobel-filter template-matching
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jupyter-notebook machine-learning numpy pandas pytorch udacity-nanodegree
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The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase
boxplot decisiontreeregressor disorder linearregression matplotlib mean-squared-error numpy pairplot pandas prediction randomforestregressor schizophrenia seaborn train-test-split visualization
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https://github.com/alepm1990/nba-analytics
Análisis y trabajos en Python con BBDD deportivas
matplotlib-pyplot numpy pandas pyhon python3 seaborn
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https://github.com/jessicahora/series_temporais
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https://github.com/saifalibaig/covid-19-infection-rate-analysis-using-python
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https://github.com/hari7261/playwithdata-python
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https://github.com/v41bh4vr4jput/python---numpy
A collection of hands-on examples, exercises, and projects to master NumPy — the fundamental package for numerical computing in Python. This repository is perfect for beginners and advanced learners looking to explore array manipulation, mathematical operations, and high-performance data analysis.
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https://github.com/chandkund/wine-quality-prediction
This project predicts wine quality based on physicochemical properties using machine learning models. By leveraging Random Forest Classifier, Logistic Regression, and SVM, the goal is to classify wines into quality categories and uncover the key factors that influence wine quality.
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Last synced: 13 Apr 2026
https://github.com/towaquimbayo/comp-4948
BCIT Computer Systems Technology (CST) - COMP 4948 (Predictive Machine Learning)
feature-selection keras matplotlib numpy pandas predictive-analytics predictive-modeling python pytorch regression scikit-learn sklearn statsmodels tensorflow
Last synced: 13 Apr 2026
https://github.com/iv4n-ga6l/Simple-Image-Segmentation
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https://github.com/nambukeerthi/copper_project
Data Analysis Skills – Work with real-world data. Machine Learning Experience – Build and train models. Web App Development – Create interactive dashboards
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https://github.com/rajan-bhateja/data-analysis-with-python
Cleaning, analysis and visualization on various datasets using Python and its various libraries via Jupyter Notebook
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https://github.com/1adityakadam/uber_data_analytics
End to end Google Bigquery + Looker Studio Data Analytics Project Transforming NYC Taxi Data into Actionable Intelligence
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text classification on comments using an ANN model.
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https://github.com/anuraganalog/navie-bayes
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https://github.com/thanhloc81/rfm-model-project
✨ Build a flow to deploy Segmentation evaluation through Python programming.
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https://github.com/mstrlc/iss-project
FIT VUT – ISS – signal processing - synthesizing and resynthesizing of a MIDI keyboard
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https://github.com/nicolascoiado/nivel-mar
Este projeto realiza uma análise detalhada do nível médio global do mar (GMSL), utilizando uma base de dados pública que abrange medições históricas. O objetivo é explorar tendências, calcular a taxa média de elevação e visualizar os dados por meio de gráficos.
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https://github.com/arrnikhilchauhan/book-recommendation
This Book Recommendation System is designed to provide personalized book suggestions based on user ratings and interaction. By leveraging the power of Pandas and NumPy, it filters and processes data efficiently, ensuring that recommendations are relevant and tailored to the user’s preferences
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https://github.com/nirmaldeepponnada/codeclauseinternshipproject2
Python, NLTK, Scikit-Learn, Pandas, NumPy, Pickle, SciPy, and JSON are used for text preprocessing, feature engineering, multi-label classification, and model persistence.
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https://github.com/jcm-ai/robust-mlops-elevating-machine-learning-to-production-scale
This project aims to address the challenge faced by the Office of Foreign Labor Certification in managing a high volume of job certification applications for employers seeking to hire foreign workers in the United States. By leveraging ML models, this project seeks to streamline the process of shortlisting visa applicants based on historical data.
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A solar system simulation using the Beeman scheme and the Euler method
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https://github.com/mastermindromii/car-price-prediction-model
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https://github.com/vishant007/annadataa
A Website For Farmers To Guide Them Regarding Crop Prouction In Their Native Language
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Last synced: 13 Apr 2026