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/dyrits/parite
OPENCLASSROOMS | PERFECTIONNEZ-VOUS EN PYTHON
matplotlib numpy pandas python
Last synced: 04 May 2026
https://github.com/surayasumona/test_bowlers_analysis
Data Analysis with Python
data-analysis data-manipulation data-preprocessing numpy pandas
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https://github.com/asuquoaa/applied_data_science_with_python_study
Notes, codes and practicals on the Applied Data Science with Python specialization by UM
matplotlib numpy pandas seaborn
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https://github.com/bhaskarkulshrestha/rock-vs-mine-prediction
A machine learning project to predict whether an object detected underwater is a rock or a mine using Logistic Regression.
colab-notebook logistic-regression machine-learning numpy pandas python sckit-learn supervised-learning
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https://github.com/sahu-sakshi/covid-19
A comprehensive data analysis project for COVID-19 pandemic data, featuring automated data collection, feature engineering, visualization tools, and exploratory analysis notebooks.
Last synced: 05 May 2026
https://github.com/badranalyst/residential-unit-prices-data-analysis-application
Python-based analysis of residential unit prices, focusing on data cleaning, visualization, and exploratory data analysis (EDA). Key features include price distribution, and correlation analysis between factors like size, location, and pricing.
data-analysis data-visualization dataset matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/sowmi0304/predictive-modeling-titanic-survival-prediction
Machine learning project to predict passenger survival on the Titanic using classification algorithms, data preprocessing, and model evaluation techniques.
machine-learning matplotlib numpy pandas python seaborn
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https://github.com/13anush/python-libraries-
A collection of essential Python libraries—NumPy, Pandas, Matplotlib, and Seaborn—perfect for anyone starting out in data analysis.
data-analysis matplotlib numpy pandas python seaborn
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https://github.com/saksham-21/data_analysis-on-hindustan-times-
Performed a proper NLP based analysis from the headlines, date published and the category of the news. Moreover created a interactive Dashboard on Tableau
beautifulsoup matplotlib numpy pandas tableau
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https://github.com/bearddan2000/python-web-3d-matplotlib-scatter-graph
A demo of creating a 3d scatter graph.
3d graph matplotlib numpy pandas python scatter web
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https://github.com/theadeelahmed/mall-customers-segmention
This project segments mall customers based on income, age, and shopping score. Using clustering techniques, it identifies key customer groups for targeted marketing campaigns. Tools used: Pandas, Matplotlib, Seaborn, and Scikit-learn
matplotlib-pyplot numpy pandas python3 seaborn sklearn-clustering
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https://github.com/pramodyasahan/cifar-10-object-recognition
This repository contains a TensorFlow-based image classification model designed to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset comprises 60,000 32x32 color images in 10 classes, with 6,000 images per class.
convolutional-neural-networks numpy python tensorflow
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https://github.com/jonad/quora_data_analysis
Exploratory data analysis and feature engineering on Quora dataset.
exploratory-data-analysis feature-extraction numpy pandas python3 quora-dataset
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https://github.com/sahaninilesh/future_ds_01_social-media-sentiments-analysis
The Social Media Sentiments Analysis Dataset captures a vibrant tapestry of emotions, trends, and interactions across various social media platforms. This dataset provides a snapshot of user-generated content, encompassing text, timestamps, hashtags, countries, likes, and retweets. Each entry unveils unique stories—moments of surprise, excitement,
jupyter matplotlib numpy pandas python
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https://github.com/nkamilla/titanic-eda
Exploratory Data Analysis of the Titanic dataset using Python (Pandas, NumPy, Matplotlib). Includes data cleaning, visualizations, correlations, and key business insights.
data-analysis eda jupyter-notebook matplotlib numpy pandas python titanic-dataset
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A simple example with pybind and numpy with C++ code
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https://github.com/nxhawk/mln
Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
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https://github.com/shwetapardhi/assignment-1-q9_b--basic-statistics-level-1
Q9) Calculate Skewness, Kurtosis & draw inferences on the following data SP and Weight(WT) Use Q9_b.csv
kurtosis matplotlib-pyplot numpy pandas python seaborn skewness
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https://github.com/kashinathbiradar/bangalore-housing-price-prediction
The objective of the project is to create a machine learning model. We are doing a supervised learning and our aim is to do predictive analysis to predict housing price.
css deta doc html machine-learning matplotlib numpy pandas preprocessing seaborn sklearn sql
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https://github.com/iama02/vet-medicine-analysis
Analysis of 50,000+ veterinary medicine records with Pandas and NumPy, highlighting dosage forms, manufacturers, indications, and shelf life trends.
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https://github.com/toxe/python-plotting
Python Plotting
matplotlib numpy pandas plotting python
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https://github.com/kunalpisolkar24/gradientdescent
A Python implementation of gradient descent for linear regression, visualized with cost function history, parameter trajectory, and a 3D cost surface.
cost-function gradient-descent numpy visualization
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https://github.com/prachi-77/data-visualization
Data visualization using Python
barplot fooddata matplotlib-pyplot numpy pandas python restaurant visualizations
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https://github.com/dm-zhuk/goit-math-python-tests
Mathematics
matplotlib-python numpy pandas scipy
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https://github.com/paulo-santos-ds/llm
Um aplicativo web simples de tradução que converte texto do português para o inglês, construído com Streamlit e Google Translator
deeptranslate googletranslate numpy pyngrok python streamlit
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https://github.com/swapnilvishwakarma/twitter_sentiment_dashboard
Using Streamlit and Python, I created interactive data dashboards and used Pandas to manipulate data in data science workflows. I also used Plotly to create interactive graphs.
dashboard machine-learning matplotlib numpy pandas plotly sentiment-analysis streamlit-webapp webapp wordcloud
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https://github.com/blackcub3s/msc-finalthesis
The most important programming files, code functions and data processing pipelines for the Machine learning final thesis of my Master's degree. Also, the LaTeX code of the thesis.
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https://github.com/piero24/lossfuncition-4sn
This research will show an innovative method useful in the segmentation of polyps during the screening phases of colonoscopies. To do this we have adopted a new approach which consists in merging the hybrid semantic network (HSNet) architecture model with the Reagion-wise(RW) as a loss function for the backpropagation process.
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https://github.com/redinfinitypro/python-finance
Rating: (8/10) The code performs a linear regression analysis on stock data using the yfinance library, importing necessary libraries, selecting stock symbols, downloading data, fitting a model, making predictions, and visualizing results.
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This repository contains my personal notes, exercises, and examples for Python
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A complete, structured AI learning journey from scratch to advanced. Includes daily logs, mini projects, roadmaps, and useful resources for Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.
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RNN-based chat message generator.
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https://github.com/helosantosdesousa/analise-dados-titanic
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https://github.com/salvatoreamaddio/powerbi
This project combines both Python and PowerBI technologies. It cleans a dataset and imports it into a PowerBI file.
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https://github.com/takana671/fluidcube
Particle Movement Using Curl Noise
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https://github.com/djdurga/predictive_analysis_in_diabetes
This project applies Logistic Regression to predict diabetes in patients using the Pima Indians Diabetes Dataset. It covers the full data science lifecycle — from data imputation and exploration to model training, evaluation, and insights.
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https://github.com/haimgoldfisher/data_visualization_final_project
Final project of the Data Visualization course, Ariel university.
adaboost bayesian-learning catboost ensemble-learning gradient-boosting gridsearchcv matplotlib numpy pandas plotly seaborn semi-supervised-learning voting-classifier
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https://github.com/dhruvil-26/python-projects
This repository contains Python projects showcasing data analysis and visualization. 1. IMDB Movie Analysis: Analyzing movie trends, genres, and ratings. 2. Loan Default Analysis EDA: Exploring factors contributing to loan defaults.
eda imdb-dataset loan-default-analysis matplotlib numpy pandas python seaborn visualization
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https://github.com/octavioduarte/datascience
A repository with study notes on Data Science concepts, NumPy, pandas, and an introduction to statistics.
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https://github.com/jahanostg/linear-regression_ml-algorithm
Linear Regression Algorithm
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https://github.com/hanzopgp/transformerneuralnetwork
Building a transformer with Keras and TensorFlow following tutorial.
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https://github.com/dhanish03/credit_card_fraud_detection
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https://github.com/djdhairya/breast-cancer-prediction
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https://github.com/mrktsm/spam-email-recognizer
Long Short-Term Memory (LSTM) network trained to classify emails as spam or non-spam. It processes email content to make accurate predictions and can be integrated into projects for efficient spam detection and email management.
data-preprocessing keras lstm-neural-network model-architecture nltk numpy pandas performance-evaluation scikit-learn spam-classification-model tenserflow training-the-model
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https://github.com/moustafamohamed01/data-analysis-ecommerce-purchases
Data Analysis : Analyzing (Ecommerce Purchases) dataset from Kaggle
jupiter-notebook numpy pandas python
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https://github.com/deepcloudlabs/dcl702-2020-sep-16
DCL-702: Data Analytics using Python
data-analytics numpy pandas python python-3
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https://github.com/abideen-olawuwo/sign-language
Multi Class Image Classification
convolutional-neural-networks deep-learning keras machine-learning matplotlib neural-network numpy pandas tensorflow
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https://github.com/vidushibhadana/eda-on-nyc-taxi-data
About Conducting an Exploratory Data Analysis (EDA) on New York City taxi data and visualizing it through countplots, distribution plots (displot), and histograms using Python and it's libraries.
data data-visualization jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/dmarks84/coursework_project_apache-airflow-kafka-on-toll-booth-data
Project for IBM Data Engineering & Python course on ETL & Big Data -- Read in live toll booth data, wrangles and transformed, and wrote into a SQL database
apache-airflow apache-kafka automation dags data-modeling databases eda elt etl mysql numpy pandas pipelines python sql
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/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
Last synced: 11 Apr 2026
https://github.com/kishanlalchoudhary/be-sem-7
BE SEM 7 Assignments
blockchain cpp design-analysis-algorithms machine-learning matplotlib numpy pandas scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/filnow/tinygimp
project for image processing class
gimp numpy opencv pysimplegui python3
Last synced: 08 May 2026
https://github.com/rodrigojunqueiradev/data-exploration-and-cleaning
Credit Analysis Data: Foundations for Cleaning and Exploration
data-analysis data-engineering data-science data-visualization datascience matplotlib matplotlib-pyplot numpy pandas python python-3 python3
Last synced: 13 Apr 2026
https://github.com/omogbolahan94/movies-budget-revenue-analysis
Data exploration, data cleaning, data analysis and predictive analysis
dataframe linear-regression matplotlib numpy pandas seaborn statistical-analysis
Last synced: 08 May 2026
https://github.com/andrehaguiar/curso_py-data_science-machine_learning
Ciência de Dados e Inteligência Artificial com Python e estatística.
anaconda3 data-science jupyter-notebook machine-learning matplotlib numpy pandas python scipy seaborn sklearn spyder sql sql-server statistics
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https://github.com/charles-l/rayboi
a raytracer written in futhark/python
futhark numpy pathtracing python3 raytracing
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https://github.com/oleksiilatypov/dru_data_science_fundamentals
DataRootUniversity, TensorFlow, Coursera, Kaggle
data-science kaggle machine-learning neural-network numpy pandas sklearn-library tensorflow
Last synced: 11 Apr 2026
https://github.com/talapanenivarshithchowdary/asteroid-detection-ml
This project uses Machine Learning to detect and classify asteroids based on trajectory and size, aiding in Near-Earth Object detection and planetary defense.
classification data-science decision-trees jupyter-notebook knn logistic-regression machine-lea matplotlib numpy pandas pillow prediction python3 random-forest scikit-learn
Last synced: 11 Apr 2026
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.
backtracking-algorithm bootstrap flask html knights-tour localhost numpy pygame python tkinter warnsdorff
Last synced: 11 Apr 2026
https://github.com/arthurdsant/dataanalysis-agricultural_raw_material
This Python project performs analysis and visualization of agricultural raw material price data using a Kaggle dataset. Based on Jupiter Notebook and Python.
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 26 Jan 2026
https://github.com/mgitrov/lifespan-x-population-status
A machine learning project aiming to predict animals' lifespan and population status.
bs4 data-science machine-learning matplotlib numpy pandas python regular-expressions requests seaborn sklearn
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https://github.com/jigyasag18/fake-news-prediction-app
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 Lemmatization algorithm, achieving ~95% classification accuracy with random forest classifier model
data datapreprocessing logistic-regression machine-learning machine-learning-algorithms numpy pandas prediction stemming streamlit streamlit-webapp vectorization
Last synced: 11 Apr 2026
https://github.com/nachtfeuer/covid19
Python script(s) for visualizing corona data
csv json matplotlib numpy pandas python requests tkinter
Last synced: 05 May 2026
https://github.com/dhruwsunita/zomato-data-analysis-project
Zomato data analysis project using Python.
data-analysis data-visualization jupyter-notebook matplotlib numpy pandas-dataframe python
Last synced: 08 May 2026
https://github.com/privatepeople/machinelearning-deeplearning
머신러닝과 딥러닝 공부를 위한 저장소
deep-learning deep-neural-networks deeplearning dl machine-learning machinelearning ml numpy pandas python scipy tensorflow
Last synced: 11 Apr 2026
https://github.com/kahngjoonkoh/randomshapegenerator
A program that will generate images with random shapes and background colours. Can be customized and generated in bulk.
generative-art numpy opencv python threading tkinter
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https://github.com/allanreda/telco-customer-churn-predictor-app
A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on Google Cloud App Engine. The app allows users to input customer data and receive predictions on churn risk to support business decision-making.
app-engine data-visualization deployment google-cloud gradio hyperparameter-tuning logistic-regression machine-learning numpy pandas scikit-learn
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https://github.com/zuhairzia/titanic-survival-project
This is a Titanic Survival Prediction Model developed using Python, Pandas, Scikit-learn, and Jupyter Notebook. The model predicts whether a passenger survived the Titanic disaster based on features such as age, gender, and passenger class.
csv-dataset flask jupyter-notebook matplotlib numpy pandas pandas-library python scikit-learn seaborn streamlit
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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
Last synced: 11 Apr 2026
https://github.com/georgehanymilad/startups-profit-prediction
Machine Learning Project
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Last synced: 11 Apr 2026
https://github.com/daniel-brai/alx-t-x-udacity-data-analytics-nanodegree
A 3-month nanodegree going through the intricacies of data analysis with Python and its various libraries such Pandas, Numpy, matplotlib, seaborn and others
matplotlib numpy pandas python3
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https://github.com/patilsukanya/assignment-07-clustering-q2-crime
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https://github.com/athari22/mean-normalization
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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
Last synced: 11 Apr 2026
https://github.com/djdurga/google_play_store_apps_analysis
This data analysis project focuses on exploring and understanding the Google Play Store Apps dataset.
Last synced: 11 Apr 2026
https://github.com/shivam5509/power-bi-project
Expert in creating interactive dashboards and reports using Power BI, utilizing 10+ visual tools like cards, slicers, and charts. Skilled in cleaning and transforming large datasets with Power Query Editor. Proficient in advanced DAX functions (SUMX, FILTER, CALCULATE) to derive insights and drive data-driven decisions.
advanced-excel computer-science data-analysis data-mining data-visualization engineering mysql numpy pandas powerbi pyhton3 sql sql-server
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https://github.com/lilivalgo/ml_time_series
This project uses time series data to predict corn crop yield in Colombia
matplotlib numpy pandas scipy seaborn sklearn
Last synced: 11 Apr 2026
https://github.com/chanmeng666/advanced-neural-network-applications
Practical implementations of perceptron and linear neuron models for classification and regression, with mathematical analysis and visualizations in Jupyter notebooks.
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https://github.com/apfirebolt/numpy-and-pandas-examples
Some examples and sample datasets to learn numpy, pandas and other data science libraries in Python
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https://github.com/germanocastanho/python-notes
Personal collection of Python Notes, tips, and code snippets 🐍
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https://github.com/toluwalase-taiwo/ml-zoomcamp
Machine learning repository
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https://github.com/mnitin-reddy/collaborative-filtering-based-recommendation-system
This project is a Book Recommendation System that uses two main approaches: Popularity-Based and Collaborative Filtering. It recommends top books based on their rating frequency and average ratings, and also provides personalized book suggestions by analyzing user interactions.
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Last synced: 11 Apr 2026