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/omogbolahan94/handwashing-history-analysis
Data Wrangling and Analytics
matplotlib numpy pandas plotly scipy seaborn statistical-analysis
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https://github.com/sweta-kaundilya/python_for_data_analysis
Learning Python and all the relevant libraries in python for Data field.
cufflinks data-analysis data-science matplotlib numpy pandas plotly python seaborn
Last synced: 04 May 2026
https://github.com/mohammadmahdi-abdolhosseini/data-analysis-and-ai-courses
Artificial Intelligence + Engineering Probability & Statistics courses projects
classification data-visualization genetic-algorithm jupyter-notebook machine-learning matplotlib minmax-alpha-beta-pruning neural-network numpy pandas python
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https://github.com/jonad/titanic_exploratory_analysis
Exploratory Data Analysis on Titanic Dataset
jupyter-notebook numpy pandas python3
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https://github.com/sumaiyyaf/movie-industry-analysis
This project focuses on the acquisition and in-depth analysis of movie data to generate strategic recommendations, guiding our hypothetical company's successful entry into the movie industry.
exploratory-data-analysis numpy pandas python visualization webscraping
Last synced: 04 May 2026
https://github.com/charlenry/machine_learning_estimer_prix_voiture
Projet de Machine Learning pour estimer le prix d'une voiture d'occasion via une application
joblib jupyter-notebook matplotlib-pyplot numpy oop-python pandas plotly-express python sklearn-linear-model sklearn-linear-regression
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A model for predicting the risk of stroke in a patient
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https://github.com/florasteve/ml-foundations-day1
Day-1 ML foundations focused on linear algebra: vectors, dot products, norms, angles, projections, and basic matrix operations—implemented in a Jupyter notebook with NumPy/Matplotlib, clear 2D visuals, a self-quiz, and a brief reflection. Emphasizes how these math primitives map to core ML/AI ideas (similarity, least squares, geometric transforms).
ai data-science education jupyter-notebook linear-algebra machine-learning matplotlib numpy python3 terminal-mac tutorial visualization vscode
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https://github.com/hyperplasma/olympic-visualization-analysis
Multidimensional analysis and visualization of Olympic medals, economy, and happiness index.
data-analysis data-visualization matplotlib numpy pandas python wordcloud
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https://github.com/sugha22/data_analysis
Actively upskilling in data science with hands-on learning during a Green Internship focused on environmental sustainability. Used Pandas and NumPy for data preprocessing and cleaning, and created visual dashboards in Excel and Tableau. Gained experience in interpreting sustainability metrics and communicating insights through data storytelling and
data-cleaning data-collection data-storytelling data-transformation excel numpy pandas preprocessing sustainability-metrics tableau-dashboards visualization
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Trading strategy based on the intersection of short-term and long-term moving averages.
jupyter-notebook matplotlib-pyplot numpy pandas
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Gibbs Sampler for a simple mortgage model.
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Mathematical Foundations of Data Science
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exploratory-data-analysis matplotlib numpy pandas python
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https://github.com/ronitjariwala/-prodigy_ds_01
Prodigy InfoTech Data Science Internship Task-1
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https://github.com/pedasoft-consult/product_purchase_prediction
As a newly hired AI Engineer, your task is to predict customer behavior based on various features such as age, income, and gender. This exercise involves cleaning the data, training a decision tree model, and evaluating the model's performance to understand the key factors influencing customer purchasing decisions.
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OpenCV project to build skills in image processing: features include Cartoonify and Pencil Sketch effects in a Jupyter Notebook, blemish removal in a Python script, and chroma keying for videos. Perfect for exploring creative and practical computer vision techniques.
computer-vision numpy opencv python
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https://github.com/0nom4d/308reedpipes
Mathematical EPITECH Project - This project computes a representation of a reedpipe.
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https://github.com/swarup-ranjan-mondal/chat-analyzer
A streamlit app to analyze whatsapp personal and group chats.
matplotlib numpy pandas python seaborn streamlit
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https://github.com/rtgrt5645/numpy-lab
🧮 Explore, manipulate, and visualize data with NumPy to enhance your Python skills in scientific computing and data analysis.
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https://github.com/jakubfr4czek/apartment-prices-analysis
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OPENCLASSROOMS | PERFECTIONNEZ-VOUS EN PYTHON
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https://github.com/pabs-code/img-cartoonizer-using-opencv
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https://github.com/navindafernando/face-recognition
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https://github.com/vladd12/machine-learning-practice
Репозиторий для учебной практики и различных курсов, связанных с ИИ
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https://github.com/shwetapardhi/assignment-1-q9_a--basic-statistics-level-1
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kurtosis matplotlib-pyplot numpy pandas python seaborn skewness
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https://github.com/bhaskarkulshrestha/rock-vs-mine-prediction
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colab-notebook logistic-regression machine-learning numpy pandas python sckit-learn supervised-learning
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https://github.com/tomaslopera/modelos_simulacion
jupyter-notebook matplotlib-pyplot modeling-and-simulation numpy pandas scipy seaborn
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machine-learning numpy pandas python
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DML Course
deep-machine-learning numpy python pytorch sklearn
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https://github.com/iamwatchdogs/retail-insights-from-superstore-data
An simple Data Analysis Project for finding insight within the Super store data set
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Python Data Analytics
data-analyst jupyter matplotlib numpy pandas python work-project
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Last synced: 05 May 2026
https://github.com/vc-nithesh944/pandas_numpy
Practice repository for NumPy & Pandas with scripts, notebooks, and notes for future revision
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https://github.com/chandrasankarsaha-code/customer-churn-prediction
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churn-prediction classfication customer machine-learning numpy pandas
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https://github.com/smit-joshi814/mlp
Machine Learning Using Python
classification decision-trees k-means-clustering knn machine-learning machine-learning-models matplotlib numpy pandas regression seaborn svm
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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/kbunwong/stock-price-prediction-using-lstm
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google-colab jupyter-notebook keras-tensorflow lstm-model machine-learning matplotlib numpy pandas python visualization yfinance
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https://github.com/nabilshadman/multiprocessing-time-series-data-simulation
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multiprocessing numpy pandas scipy simulation statistics time-series
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https://github.com/thomasa/python-intro
This is a Jupyter notebook slide show for a 2-hour crash intro to Python, NumPy, Matplotlib, and SciPy
matplotlib numpy python scipy tutorial
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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
Last synced: 05 May 2026
https://github.com/celineboutinon/bookworms
OpenClassrooms Data Analyst 2022-2023 - Projet 6
apriori-algorithm data-analysis data-analytics data-visualisation dataframes matplotlib-pyplot mlxtend numpy pandas python scikit-learn scikit-posthocs scikitlearn seaborn statsmodels
Last synced: 05 May 2026
https://github.com/elijahondiek/data-analysis-udacity
Udacity Data Analysis Nano Degree course resources
jupyter-notebook matplotlib numpy pandas python
Last synced: 05 May 2026
https://github.com/13anush/python-libraries-
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data-analysis matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/zafir100100/cancer-stage-prediction
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cross-validation data-analysis data-preprocessing decision-trees gradient-boosting linear-regression machine-learning-algorithms numpy pandas random-forest regression scikit-learn
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https://github.com/hitthecodelabs/petalanalyticsstreamlit
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matplotlib model numpy pickle python scikit-learn sklearn streamlit
Last synced: 05 May 2026
https://github.com/saksham-21/data_analysis-on-hindustan-times-
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https://github.com/cicku/en.650.672
HW of EN.650.672
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matplotlib numpy pandas seaborn
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https://github.com/yenk/human-genomic-meta-analysis
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https://github.com/rayan-alam-uoit/space-x-launch-prediction-tool
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https://github.com/ranaessam03/climate-prediction
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https://github.com/mohitsai/boston-housing-data-analysis
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Libraries Used
matplotlib numpy pandas scikit-learn seaborn
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https://github.com/tapas-gope/diwali-sales-analysis
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https://github.com/jeslipriya/expense-tracker
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css flask-application full-stack html matplotlib numpy pandas
Last synced: 05 May 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-scatter-graph
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Last synced: 05 May 2026
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This repository contains operations in Matplotlib for data visualization, NumPy for numerical computations, and Pandas for data manipulation and analysis. These libraries work together to efficiently process, analyze, and visualize data.
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This GitHub repository contains Python and Tableau for analyzing Marvel Vs DC superheros.
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Last synced: 05 May 2026
https://github.com/ahmedabdalkreem/airline_passenger_satisfaction
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Last synced: 05 May 2026
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Analyzing Crime Patterns in Montgomery County, USA: An Inclusive Study Based on NIBRS Data (2016-2022)
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Last synced: 05 May 2026
https://github.com/batrick-swaistan/nalaiya_thiran
Nalaiya Thiran IBM Course Training
matplotlib numpy pandas-dataframe python
Last synced: 05 May 2026
https://github.com/zuhairzia/customer-segmentation
📖 About Customer Segmentation using KMeans clustering to analyze demographics, income, and spending. Helps businesses with targeted marketing and customer insights.
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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
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Salary predict App by Streamlit
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https://github.com/pyladiesams/python-oss-sprints-mar2024
Sprints to contribute to the most popular data and AI Python OSS libraries
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https://github.com/voidwalker7/mnist
MNIST Digit Detector Model using only Numpy
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https://github.com/pramodyasahan/cifar-10-object-recognition
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