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/georgiivoyakin/mirea-big-data
Python Big Data programming tasks for institute
apriori-algorithm apriori-algorithm-python fpgrowth jupyter-notebook numpy pandas plotly python python3 scipy sklearn
Last synced: 10 Apr 2026
https://github.com/avijit-jana/used-car-price-prediction
A Streamlit-based application utilizing machine learning to predict used car prices based on features like make, model, year, fuel type, and transmission, enhancing customer experience and streamlining the pricing process.
carpriceprediction data-science jupyter-notebooks machine-learning numpy pandas pickle pricing-data-science python3 streamlit streamlit-webapp webapplication
Last synced: 11 Apr 2026
https://github.com/kiritoind/neural-network-for-cat-image-classification
This script defines essential functions for constructing a deep neural network from scratch for image classification. It includes activation functions like sigmoid and ReLU, data loading from H5 files, parameter initialization, forward and backward propagation for training, gradient descent for parameter updates, and functions for prediction
classification computer-vision deep-learning deep-neural-networks jupyter-notebook numpy python
Last synced: 05 May 2026
https://github.com/singh-dhruv/traffic-light-detection-and-recognition
Welcome to this repository! Here we explored the topic of traffic lights detection and its recognition for helping the Autonomous Vehicles in their interpretation of traffic lights and decision making while driving.
autonomous-driving computer-vision matplotlib-pyplot numpy python r-cnn tensorflow
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https://github.com/laavanjan/lstm-rnn-next-word-prediction
An advanced LSTM RNN-based deep learning model designed for next-word prediction. This model processes sequential text data using deep learning techniques to generate accurate and context-aware word predictions in real-time
jupyter-notebook numpy pandas-dataframe rnn rnn-tensorflow streamlit-webapp tensorflow
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https://github.com/datarohit/date-fruit-classification
This is Date Fruit Data taken from Kaggle. This data severs a classification problem to solved. Using various features of the fruit classify the fruit to its type.
classification logisticregression numpy pandas python3 standard-scaler
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https://github.com/aminkhavari78/geoai-challenge-estimating-soil-parameters-from-hyperspectral-images-
Can you predict soil parameters from hyperspectral earth observation data?
dee keras matplotlib neural-network numpy pandas seaborn
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https://github.com/carlthome/ipytoolbox
A collection of IPython magics and other utilities
ipython jupyter matplotlib numpy
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https://github.com/rahulvictor12/the-movie-database-data-scrapper
A Python web scraper that collects movie data from The Movie Database (TMDB). It uses `requests`, `BeautifulSoup`, and `pandas` to extract titles, ratings, genres, and cast details from multiple pages. The data is structured into DataFrames and saved as a CSV, perfect for analysis or integration into projects.
beautifulsoup colab-notebook dataframes numpy pandas python requests testing webscraping
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https://github.com/kishlayjeet/zomato-data-exploration
In this project, we will be exploring a dataset containing information on various restaurants and their ratings, location, and other attributes.
data-analysis eda matplotlib numpy pandas zomato-data-exploration
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https://github.com/tasninanika/mammographic-masses-analysis-dt
This project uses a Decision Tree Classifier to predict whether a detected mammographic mass is benign (0) or malignant (1) based on input features.
decision-tree-classifier numpy pandas pyhton3 scikit-learn
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https://github.com/m-rishab/credbet
A loan prediction web app which tells You that you are eligible for loan or not!
decision-tree-classifier matplotlib numpy pandas python scikit-learn
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https://github.com/codewitheshayoutube/corvit_python_data_analytics_course
I teach Python & Data Analytics at Corvit Systems. This repository contains all course materials, including code, assignments, projects, and resources. โญ Stay updated!
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Synthea Data Analysis
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https://github.com/SudipBishwakarma/Bulk-Remove-OneSignal-Users
Bulk remove OneSignal subscribed users blazingly faster with parallel processing.
numpy pandas python python-logger python-multiprocessing python-threading python3
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https://github.com/jayanthsd2003/dms_sarathi_-driver-monitoring_system-
This is a project which can be seen on TATA Trucks and other premium edition cars based and focussed on the safety and monitoring driver Consciousness state
dlib dlib-face-detection numpy opencv-python pygame python pyttsx3 scipy
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https://github.com/bbergerud/faraday_complexity
Classifying complex Faraday sources with Keras
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https://github.com/scarblase/homeless-animals-analysis
A data-driven exploration of homeless animal statistics ๐ถ๐ฑ. Analyze age distribution, shelter dynamics, and adoption patterns using Python, Pandas, and Seaborn.
animals data-analysis data-mining data-science data-science-projects data-visualization matplotlib matplotlib-pyplot numpy pandas plotly python python3 ukraine
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https://github.com/coqui123/tradegpt
TradeGPT is a full-stack cryptocurrency trading application that combines a modern Fresh (Deno) frontend with a Python (FASTAPI) backend for Coinbase integration and Azure AI Services for intelligent trading analysis. ๐น
analytics automation cryptocurrency data deno fastapi fresh numpy python trading-algorithms trading-strategies tradingbot typescript
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https://github.com/ujstor/streamlit-working-hours
The analysis pipeline involves combining the data forms, performing data cleaning, and starning streamlit server for statistical analysis.
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https://github.com/aminakbari7/simple-data-science-with-excel
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https://github.com/264gaurav/deep-learning
Deep Learning and Neural Network learning/building and exploring
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This model was built using Python and XGBoost Regression algorithm
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Personal math playground
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ML model to predict flight prices based on various features like departure time, arrival time, duration, airline, source, destination, and number of stops.
machine-learning mathplotlib numpy pandas scikit-learn seaborn
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Movie recommendation system using machine learning and predict user ratings for the movies.
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https://github.com/burakkagann/pixels2genai-2.0
Free, open-source curriculum teaching generative art and AI across 15 modules, from a single pixel to diffusion models.
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This repository contains the source codes of the projects done using Arkouda (a software package that allows a user to interactively issue massive parallel computations on distributed data using functions and syntax that mimic NumPy, the underlying computational library used in most Python data science workflows.)
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Person's body parts or joint position detection using openCV
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https://github.com/shanmukhsrisaivedullapalli/smsspamclassification
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jupyter-notebook numpy pandas pickle python3 sklearn spam-classification spam-detection
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https://github.com/walkerdustin/vergleich-von-messmethoden-fuer-punktwolken
Bei der Vermessung eines physischen Raumes ist das Ergebnis eine Punktwolke. Diese Punktwolke beschreibt dann ausgewรคhlte Punkte im Raum, zum Beispiel auf den Wรคnden und der Decke. Wenn diese Punkte in zwei seperaten Messungen gemessen werden, vielleicht sogar von unterschiedlichen Gerรคten, soll hinterher herausgefunden werden wie genau diese Punktwolken รผbereinstimmen. Dafรผr gibt es zwei grundsรคtzlich verschiedene Methoden. Diese sollen hier verglichen werden.
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https://github.com/nemeslaszlo/emergency-911-calls
Covers emergency (911) Calls: Fire, Traffic, EMS for Montgomery County, PA analysis with visualizations.
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https://github.com/rkarahul/machinelearning
This is for my all machine learning code
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https://github.com/mohd-mb2205153/data-science-project
A data analysis project using Python to study climate patterns and genocide-related datasets from Gaza and the West Bank.
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Analyze and visualize features affecting student performance
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https://github.com/ksharma67/ibm-stock-predication-wiith-eda
In this i tried to design a model that can predict the price of stock using different methods and algorithms.
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django django-rest-framework internet-of-things jupyter jupyter-notebook numpy python python3 ubiquitous-computing
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https://github.com/heisenberg141/deep-learning-from-scratch
In this repository, I have showcased implementation of deep learning methodologies and architectures using Python and Numpy
algorithms binary-classification computer-vision data-science deep-learning deep-neural-networks implementation machine-learning multi-class-classification neural-network numpy python regression-models
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EDA Travel data by PW Skills Data Analytics Course.
data-encoding data-preparation data-preprocessing data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas plotly python sklearn-library train-test-split train-test-using-sklearn
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https://github.com/aarryasutar/credit_eda
This project focuses on cleaning and analyzing a loan application dataset to gain insights into the factors influencing loan defaults. Through systematic data cleaning, visualization, and merging with previous application data, it provides a robust foundation for further predictive modeling.
binning boxplot correlation-matrix data-cleaning data-splitting dataframe feature-engineering heatmap jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/qua77i20/ai2
A simple single-layer neural network (perceptron) built in Python. Demonstrates backpropagation training from scratch for beginners.
ai backpropagation data-science deep-learning machine-learning neural-network numpy perceptron python
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https://github.com/bhattbhavesh91/tf-numpy-example
Faster NumPy using Tensorflow's tf.experimental.numpy module
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https://github.com/pacatro/lse2text
Deep learning program that translates Spanish Sign Language (LSE) to text in real time.
ai cnn computer-vision deep-learning lse matplotlib numpy pandas python pytorch pytorch-lightning scikit-learn torchmetrics translation
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Exercises - Python for Data Science - NumPy + Pandas
Last synced: 07 May 2026
https://github.com/vijaykumar1303/facial-emotion-recognition-system
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The "Diwali Sales Analysis" project aims to analyze the sales data during the Diwali festival period to uncover insights and trends that can help improve marketing strategies and sales performance in the future
csv data-analysis eda jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 11 Apr 2026
https://github.com/yash22222/sync-intern-s-ml-tasks
SYNC INTERN'S Machine Learning internship will offer you to enhance your skills by doing real-life example projects. This internship will increase your knowledge in the field of data and algorithms to understand how a machine learns.
bhpp boston-house-datasets boston-house-price-prediction boston-house-pricing data data-structures machine-learning machine-learning-algorithms numpy pandas sync-intern sync-interns
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https://github.com/mahnoorsheikh16/Credit-Card-Default-Prediction
This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.
chi-square-test encoding hiplot imblearn json knn-imputer matplotlib numpy pandas pca-analysis pillow plotly robust-scalar scipy seaborn sklearn smote streamlit ttest visualization
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https://github.com/gaurangdave/house_price_predictions
Machine Learning Application to predict House Prices
hands-on learning-by-doing machine-learning numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/m-rishab/housing-price-prediction
The Housing Price Prediction Accuracy Improvement project is a data-driven initiative focused on enhancing the precision and reliability of housing price predictions. This project encompasses a multidisciplinary approach, combining data science, machine learning, and real estate insights to optimize the accuracy of forecasts in the housing market.
gridsearchcv hyperparameter-tuning matplotlib matplotlib-pyplot numpy pandas pickle python3 randomforestregressor scipy sklearn
Last synced: 11 Apr 2026
https://github.com/sarincr/introduction-to-pyqt5
PyQt5 is a comprehensive set of Python bindings for Qt v5. Qt is set of cross-platform Python libraries that implement high-level APIs for accessing many aspects of modern desktop and mobile systems.
app appdevelopment data-science kivy kivymd machine-learning numpy opengl pygui pyqt pyqt5 pyqt5-desktop-application pyqt6 pyside2 scipy tensorflow tkinter tkinter-graphic-interface tkinter-gui tkinter-python
Last synced: 13 Apr 2026
https://github.com/thedevreda/python
My Full Backup Packagaes & Files Guide for Python ๐ทโโ๏ธ
jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/nomadsdev/frequency-insight
SoundFreqAnalyzer: A Python tool to record audio, analyze frequencies, and save results.
audio-analysis audio-recording audio-tool data-visualization fft frequency-analysis keyboard-python numpy pyaudio python scipy signal-processing sound-engineering
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https://github.com/simran1002/strip-analyzer
The Strip Color Identification is used to analyze images of urine strips uploaded by users. Using computer vision techniques, particularly leveraging OpenCV, the interface identifies and extracts the colors present on the strip.
flask multer nodejs numpy opencv python reactjs
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https://github.com/nafisalawalidris/tools-for-data-science
It covers popular languages (Python, R, SQL) and libraries (NumPy, Pandas) used in the field. The author shares their objectives of teaching data analysis, web development, and critical thinking skills. The repository also includes code examples, explanations of arithmetic expressions, and contact information for the author.
arithmetic-expressions data-analysis data-science data-visualization languages libraries matplotlib numpy pandas programming python r sql tools web-development
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https://github.com/mgobeaalcoba/survival_predictor_on_the_titanic_scikit_learn
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matplotlib numpy pandas python3 scikit-learn seaborn titanic-dataset titanic-kaggle titanic-survival-prediction
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https://github.com/toby-sanders-101/mydigits
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Worked Example Miner (WEM): A Comprehensive Tool for Analyzing Java Repositories.
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ะ ะตะฟะพะทะธัะพัะธะน ั ะดะพะผะฐัะฝะธะผะธ ัะฐะฑะพัะฐะผะธ ะธะท ะบัััะฐ "ะจะบะพะปั ะะฝะฐะปะธัะธะบะพะฒ ะะฐะฝะฝัั " ะพั ะะขะก
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https://github.com/tejasvi541/machine-learning
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matplotlib numpy python3 pytorch sklearn tensorflow
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https://github.com/moinak-majumdar/fake-currency-detection
Indian fake currency detecting mobile application.
cnn deep-learning flutter getx keras machine-learning mobile-app neural-network numpy random-forest scikit-learn support-vector-machines tensorflow
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https://github.com/djleamen/music-mood-matcher-demo
An intelligent music recommendation system that analyzes your mood through natural language and suggests personalized playlists using advanced AI and machine learning techniques.
demo machine-learning matplotlib ml natural-language-processing nlp nltk nltk-python numpy openai pandas python scikit-learn seaborn
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Tugas Besar 2 Aljabar Linear dan Geometri
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Interactive 3D visualization tool for exploring the mesmerizing world of Mandelbrot and Julia fractals. Built with Python, OpenGL and PyQt5, offering real-time animation and intuitive controls.
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Rating: (8/10): Is an interactive graphical simulation using Pygame library, featuring laser and detector dynamics. It includes pathfinding, collision detection, and dynamic object interactions. The game allows dragging, checking for collisions, and updating object states.
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C++ parallel sorting algorithms through Cython - up to 8 times faster than NumPy
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This repository is objected to have all the assignments and project related to IWT (Semester - 3).
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https://github.com/jesussantana/ibm-skills-courses
IBM Data Science, Machine Learning & Deep Learning Courses to Increase your Skills Development
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Je suis un grand fan de l'analyse des donnรฉes avev PYTHON
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https://github.com/garcane/Income-Prediction-ML
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