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/ronitjariwala/-prodigy_ds_01
Prodigy InfoTech Data Science Internship Task-1
matplotlib numpy pandas python seaborn
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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.
array-operations data-analysis data-science jupyter-notebook machine-learning numerical-computing numpy numpy-arrays numpy-library numpy-python python python3 scientific-computing
Last synced: 04 May 2026
https://github.com/jakubfr4czek/apartment-prices-analysis
This repository contains an analysis of apartments prices in Krakow. It was made for "Rachunek prawdopodobieństwa i statystyka" (probability and statistics) course i took at AGH University of Science.
agh agh-wi analysis csv jupyter jupyter-notebook krakow numpy pandas price-analysis price-prediction probability probability-statistics python statistics statistics-learning
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https://github.com/abhinav330/911-emergency-calls-analysis
This Python Notebook analyzes emergency call data from the '911.csv' dataset. It uses various data visualization techniques to explore and gain insights into the emergency call data, including the types of calls, reasons for calls, and call patterns over time.
data-analysis data-science data-visualization eda exploratory-data-analysis exploratory-data-visualizations numpy pandas python
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Example of solving least square problem with python
autograd least-square-regression least-squares matplotlib numpy python python3 scipy
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implementation of LogisticRegression
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Full python curse for AI
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Data Analysis with Python
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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.
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Udacity Data Analysis Nano Degree course resources
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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
A machine learning project to predict rainfall using Decision Tree, k-Nearest Neighbors (kNN), and Naïve Bayes, with preprocessing, model evaluation, and custom kNN implementation.
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https://github.com/patilsukanya/house-price-prediction
Libraries Used
matplotlib numpy pandas scikit-learn seaborn
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https://github.com/bearddan2000/python-web-3d-matplotlib-scatter-graph
A demo of creating a 3d scatter graph.
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https://github.com/ahmedabdalkreem/airline_passenger_satisfaction
In this project, we work in machine learning project that show the satisfacion of customer from the service that have in airline this service make it like this experience or not.
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https://github.com/batrick-swaistan/nalaiya_thiran
Nalaiya Thiran IBM Course Training
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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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https://github.com/pramodyasahan/cifar-10-object-recognition
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Exploratory data analysis and feature engineering on Quora dataset.
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The Diwali sales analysis reviews past data to identify trends, peak buying times, popular products, and customer demographics. It assesses sales volume, revenue growth, and promotional effectiveness, helping businesses optimize marketing and inventory for future seasons.
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face haar-cascade lbph-face-recognizer numpy opencv pillow
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https://github.com/tsungtsetu122/patternrecognition-gnn-node-classification
This project implements a Mixed Graph Neural Network (GNN) for semi-supervised multi-class node classification using the Facebook Large Page-Page Network Dataset. The goal of the project is to predict the class of each node (page) based on 128-dimensional feature vectors and the graph structure connecting the nodes.
evaluation-metrics gnn matplotlib networkx numpy optimization pandas python pytorch-geometric
Last synced: 05 May 2026
https://github.com/waghraj1699/fraud-detection-project
A fraud detection system with machine learning will be able to detect risk based on your historical data
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https://github.com/debangshu9183/spam-mail-detection
To detect spam mail
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https://github.com/hms75/movie_rating_analysis
A movie rating analysis which identifies trends amongst a dataset of 5000 movies.
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https://github.com/vikkiezdev/ai-global-index-analysis
This project analyzes the AI readiness of 62 countries using key indicators like government strategy, commercial activity, research, development, and infrastructure. Through data cleaning, EDA, and visualization, it identifies key drivers of AI adoption and competitiveness.
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https://github.com/romanectatyana/fuel_norm
Practical data analytics case: calculating and optimizing fuel consumption norms for vehicles and heavy equipment. (Аналітичний проєкт із визначення норм витрат палива для автотранспорту та спецтехніки.)
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https://github.com/leavers/npblob
Transfer numpy array between Python and JavaScript losslessly
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https://github.com/shahriarha/programming
Python problem solving, HR-30 days of code, DSA, NumPy
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https://github.com/ianjure/simple-neural-network
Implementing a simple neural network using only Numpy.
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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/rishabhmathur06/fetching-jobs-data-using-beautifulsoup
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https://github.com/frolov-andrey2405/mandelbrot-s-fractal
Mandelbrot's Fractal Constructions
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https://github.com/billgewrgoulas/recommendation-systems
Algorithms for joke rating prediction using the joke data-set from Kaggle.
algorithm clustering collaborative-filtering machine-learning numpy pandas recommender-system scikit-learn scypi
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https://github.com/sankaran-s2001/us-traffic-accidents-analysis-python-eda
Exploratory data analysis of US traffic accidents from 2016-2023, analyzing patterns by time, location, weather, and severity using Python data science libraries.
data-analysis data-science data-visualization eda matplolib numpy pandas python
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https://github.com/abhinav330/customer-behavior-analysis-linear-regression
This repository explores customer behavior data for an NYC clothing company with both a mobile app and website. They want to understand which platform drives higher sales.
data-analysis data-science data-visualization eda exploratory-data-analysis jupyter jupyter-notebook linear-regression machine-learning machine-learning-algorithms machinelearning-python numpy pandas python regression-analysis
Last synced: 06 May 2026
https://github.com/khursheedahmedd/machine-learning
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https://github.com/5hraddha/optimize-oil-well-locations
In the quest for harnessing valuable energy resources, the OilyGiant mining company wants to expand its operations by discovering new oil well locations. To achieve this, a data-driven approach is adopted, leveraging geological exploration data from three distinct regions and employing techniques in data analysis and modeling.
linear-regression numpy pandas scikit-learn supervised-learning
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https://github.com/dm-zhuk/goit-math-python-tests
Mathematics
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https://github.com/coder5omkar/lendingclubcasestudy
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Last synced: 06 May 2026
https://github.com/cycle-sync-ai/student-score-analysis
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https://github.com/naveen88112/genetic_algos_maze_solver
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https://github.com/albert-2002/robust-penalized-empirical-likelihood-estimation-method-for-linear-regression
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linear-regression machine-learning numpy pandas python regression regression-analysis statistics
Last synced: 06 May 2026
https://github.com/christiansassi/signal-image-and-video-project
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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/ananyachibber21/automation-python-projects
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https://github.com/vandanac20/advanced-real-estate-valuation-with-ensemble-regression-models
Advanced Real Estate Valuation with Ensemble Regression Models
machine-learning numpy pandas python sklearn
Last synced: 06 May 2026
https://github.com/bartosz-ziolkowski/social_data
Data analysis of San Francisco's crime data set from 2003 to 2018
data-science data-visualization jupyter-notebook numpy pandas python
Last synced: 06 May 2026
https://github.com/jayanthpotluri5513/heart-disease-prediction-using-ml
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machine-learning matplotlib numpy pandas python
Last synced: 06 May 2026
https://github.com/shimu-i/pythonmastery
Diving into Python essentials, libraries, and tricks to become an AI & ML pro. Coding, learning, and having fun while building the future!
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https://github.com/chandkund/pytorch
Foundational introduction to PyTorch, focusing on the basics of tensors, their creation, manipulation, and operations, which are essential for understanding and building deep learning models
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https://github.com/siddhantprateek/machine-learning-resources
Machine Learning Resources
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Python Web-Scraping 2023
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Predicting Games Sales
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https://github.com/shefreenkaur/web-scraping-and-word-frequencies
This project analyzes word frequencies in BC Legislative documents using Stanford CoreNLP and Python. The program extracts text from PDF documents, processes it using natural language processing techniques, and generates a comprehensive word frequency analysis.
analytics chromedriver easyocr nlp numpy pandas pymupdf python selenium stanfordcorenlp webscraping wordfrequency
Last synced: 07 May 2026
https://github.com/jimmymugendi/luxdev-week-2-boot-camp
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Last synced: 07 May 2026
https://github.com/ifimust/room_generator
Room generator service for 2D game levels
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Last synced: 07 May 2026
https://github.com/pesala-x/data-science-ai-assessments
this is inClass practice application for Python-for-Data-Science-AI
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Last synced: 07 May 2026
https://github.com/kavayk29/audio-classification-using-python-library
This is a audio classification Project using python Libraries such as librosa to make the visual representation of the audio files, and using numpy to make array of data for manipulation and then extraction the features for classification to train and test of CNN model.
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Last synced: 07 May 2026
https://github.com/jimmymugendi/bulding-a-decision-tree-to-predict-customer-churn
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Last synced: 07 May 2026
https://github.com/christabelsakyi/sentiment_analysis
This project involves analyzing customer reviews to classify them as positive or negative using Logistic Regression. The workflow includes text preprocessing, feature extraction, training a model, making predictions, and evaluating its performance. Dataset
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Last synced: 07 May 2026
https://github.com/arnie1x/massive-dataset-lab
This project involves basic data manipulation with JSON files, focusing on tasks related to data processing of the MASSive dataset and file management.
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Last synced: 07 May 2026
https://github.com/jpgiant/gujaratrainfallanalysis_2021
Analysis about the rainfall that occurred in the districts of Gujarat state in 2021
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Last synced: 07 May 2026
https://github.com/bettenoch/yolo_real_time_object_detector
The YOLO Real-Time Object Detector leverages the ultralytics package to provide robust object detection capabilities. This project is designed to identify and classify objects in images, video streams, and live webcam feeds with high accuracy and efficiency.
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Last synced: 07 May 2026
https://github.com/r-mahesh45/reccomendation-system
This project involves building a recommender system using cosine similarity to measure the similarity between items or users. It leverages numerical data to provide personalized recommendations. The model focuses on extracting meaningful insights and improving decision-making processes.
numpy pandas-dataframe python3 scikitlearn-machine-learning
Last synced: 07 May 2026
https://github.com/manishkr1754/loan_eligibility_prediction_python
Predict Loan Eligibility for a Finance company
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Last synced: 08 May 2026
https://github.com/kostadinlambov/the-galois-field-in-cryptography
This project is about Galois fields, what properties they have and how they can be used in cryptography.
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https://github.com/azaz9026/python_library_numpy
NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices...
array jupyter-notebooks numpy python3
Last synced: 08 May 2026