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: 2026-07-02 00:21:34 UTC
- JSON Representation
https://github.com/unknownman/101-numpy
learning numpy by 101 short videos and jupyter notebook
Last synced: 29 Apr 2026
https://github.com/thaivincent/fft_image_compression
A simple image compression program using FFT and numPy
Last synced: 29 Apr 2026
https://github.com/haleema33/cs50-final-project
This project allows the user to input a sequence of characters (a-z), and generates a unique audio file composed of piano sounds corresponding to those characters. The system reads sound files from a predefined directory, processes them, and outputs a new WAV file with the audio sequence. The audio is speeded up 3x for an accelerated playback.
Last synced: 29 Apr 2026
https://github.com/ovsidee/psm
Fundamentals of Mathematical Simulations using Python
Last synced: 29 Apr 2026
https://github.com/yibrahimmoos/snn
shallow neural network imp.
neural-network numpy python-3-6
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https://github.com/amulya20010418/zomato_data_analysis
Analyze Zomato restaurant data all the world and find the insights by using Python libaries and also visualize the dataset by using Power-bi
cleaning-data-in-python dashboard numpy pand powerbi python visualization
Last synced: 29 Apr 2026
https://github.com/al-ghaly/e-commerce-a-b-testing
A Statistical Analysis project in which I Performed an A/B test to analyze the effect of changing the user interface for an E-Commerce company's Website.
data-analysis matplotlib numpy pandas python python-data-analysis seaborn statistical-analysis statistics
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https://github.com/brainiacsloth/brighttv_viewership_analytics_python
This repository serves to provide an EDA framework for BrightTV Viewership Data.
jupyter-notebook metadata numpy pandas python
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https://github.com/chandkund/predicting-student-grades
This project predicts student grades (G1, G2, G3) based on various features such as demographic information, study habits, family background, and other academic factors. The aim is to develop a predictive model that can assist in identifying students who may need additional support.
classification-algorithm ensemble-learning exploratory-data-analysis machine-learning matplotlib numpy pandas regression-models seaborn
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https://github.com/armahdavi/ai_ml_assisted_breast_cancer_tumor_detection
Consolidating tutorial codes for breast cancer tumor detection, covering ML fundamentals like classification, feature engineering, training, evaluation, and key performance metrics.
bias-variance feature-engineering logistic-regression machine-learning machine-learning-algorithms medical-application numpy pandas python random-forest recall-precision sklearn xgboost-classifier
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https://github.com/divansh2025/python_notebook
Welcome to "Basics of Python", a repository designed to help you master the fundamentals of Python. 🚀
datavisualization matplotlib numpy pandas python seaborn
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https://github.com/djdurga/upi-transactions-eda
The dataset provided encompasses a comprehensive record of Unified Payments Interface (UPI) transactions spanning the period from January 2023 to December 2023. Unified Payments Interface (UPI) has emerged as a prominent digital payment system in India, facilitating seamless fund transfers between bank accounts instantly.
matplotlib numpy pandas python
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https://github.com/mukeshthenraj/fraud-detection-model
Logistic Regression, Grid Search, and ROC-PR curve evaluation on fraud detection dataset
classification fraud-detection machine-learning numpy pandas scikit-learn
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https://github.com/sakshijain009/minor-project-ml-in-python
Exploratory Data analysis on data using python
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https://github.com/abhishek010397/tigerprediction-machinelearning
Machine Learning Prediction Model Using Multiple Regression to predict Tiger Population in India
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https://github.com/dmarks84/ind_project_readme-generator
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https://github.com/michaelzheng67/farmsa-programming-for-finance-spring2021
Source files for the programming for finance presentation (complements the material covered)
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This project addresses a real-world business problem: predicting customer churn for MTN, a major telecommunications company. Customer churn significantly impacts profitability, and accurate predictions enable targeted retention efforts.
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https://github.com/atchayaah/vois_aicte_oct2025_atchayaa
Comprehensive data science analysis leveraging NYC Airbnb market data to derive actionable insights on optimal pricing models, key performance indicators (KPIs), and factors influencing host trust and guest experience optimization.
jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/laipching/sprint6_module1
Exploratory Data Analysis with Python (Pandas/Matplotlib/Seaborn). Business questions, metrics and clear visualizations.
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https://github.com/ahshah322/world-happiness-report-2025
Data analysis and visualization of the World Happiness Report 2025 using Python (pandas, seaborn, matplotlib). Explores how GDP, health, freedom, generosity, and corruption perception influence global happiness.
data-analysis data-science matplotlib numpy pandas python seaborn worldhappiness
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https://github.com/fanisgl/video-games-sales-data
Data Analysis of Sales Dataset using Python.
data-analysis data-science data-visualization dataset jupyter-notebooks matplotlib numpy pandas poisson-distribution python python3 sales statistics
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https://github.com/x-nimesh/panoramer-dockerized
Panoramer is a cutting-edge panoramic image stitching web application designed to transform your images into stunning, professional-quality panoramas. Whether you're a seasoned photographer or a hobbyist, Panoramer's intuitive interface and precise alignment tools make it easy for users of all skill levels to create seamless panoramas.
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https://github.com/harmanveer-2546/bird-species-prediction-using-deep-learning
Using convolutional neural networks to build and train a bird species classifier on bird pics data with corresponding species labels, also build GUI for the same.
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Image pre-processing techniques using OpenCV.
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https://github.com/mohamed15058/cognifyz-data-science-internship-restaurant_data_analysis_and_prediction-
Restaurant_Data_Analysis_and_Prediction
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https://github.com/andryadsm/asset-analyzer
📈 Project Asset Analyzer (Python)
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https://github.com/sophiaas/transform-datasets
Datasets for modeling transformations in data.
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https://github.com/shwetapardhi/assignment-04-simple-linear-regression-1
Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regressi
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https://github.com/hansalemaos/create_empty_image
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https://github.com/vishal-verma-96/honey_production_analysis_using_python
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Sentiment and Regression Analysis
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https://github.com/ebadshabbir/naive_bayes_classification-gaussain-
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https://github.com/blankscreen-exe/triple-trial-card-maker
Triple Triad Card maker for a game inspired by Final fantasy
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Proyek implementasi perhitungan matematika untuk klasifikasi probabilistik Naive Bayes serta eksperimen statistik A/B testing pada sistem rekomendasi dan pengembangan perangkat lunak.
jupyter-notebook matplotlib numpy pandas python scipy seaborn
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https://github.com/mayankfreelancer/advanced-sales-analytics-dashboard-power-bi-
This interactive Power BI dashboard provides a comprehensive analysis of sales data across regions, categories, and time periods. The project aims to uncover key trends in total sales, profit, quantity sold, and product performance, using advanced visualizations and forecasting techniques. 🛠 Tools & Techniques Used: Power BI
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https://github.com/gabboraron/python_nyelvtan
Egy python nyelvi elemekkel fogallkozó kurzus jegyzete.
ai matplotlib-pyplot numpy pandas
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https://github.com/professornova/ann-scratch
This repository implements a simple Artificial Neural Network (ANN) from scratch using only NumPy.
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https://github.com/yashbhutwala/pong-ai
Deep Q-Learning Networks vs. Policy Gradient Learning in OpenAI Gym's Pong Environment
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https://github.com/ayushshrivstava/es654_prereqtest
Prerequisite test for the Machine Learning course ES654
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https://github.com/isaacalves7/nvidia-cuda
👁️🗨️📗 It's a repository of Nvidia CUDA programming.
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https://github.com/mukeshthenraj/video-engagement-prediction
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https://github.com/pedasoft-consult/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.
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https://github.com/sayginsaman/hand-gesture-desktop-controller
A comprehensive Python application that transforms your webcam into a powerful desktop control interface using computer vision and hand gesture recognition. Control media playback, volume, scrolling, and navigation with simple hand gestures - no mouse or keyboard required!
chmod gesture gesture-control gesture-detection gesture-recognition gestures media mediapipe numpy opencv pip pyautogui python
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https://github.com/dharma-acha/explanability_in_deepneuralnetworks
Our project aims to enhance the transparency and trustworthiness of the VGG model in critical fields like healthcare imaging and self-driving cars. By integrating explainability methods into the VGG model for image classification, we will clarify its decision-making process.
colab-notebook matplotlib numpy pandas scikit-learn seaborn
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https://github.com/beyzabasarir/spotify-youtube-eda
Exploratory Data Analysis of global songs' performance metrics on Spotify and YouTube with Python, using Jupyter Notebook.
eda exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/kernel-loophole/data-analysis-with-pandas
pandas
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https://github.com/johnrobertsantos/exploratory-data-analysis-using-python
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Last synced: 30 Apr 2026
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https://github.com/afondiel/intro-to-artificial-intelligence-free-course-le-wagon
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Last synced: 01 May 2026
https://github.com/sairupeshl/portfolio-risk-calculator
A portfolio risk engine using Python, integrating the Yahoo Finance API to ingest and preprocess historical multi-asset price data
Last synced: 08 Jun 2026
https://github.com/hghyhghy/notebook
Repo consist numpy , matplotlib and pymongo aggression
jupyter-notebook matplotlib numpy pymongo python-3
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https://github.com/sandip2512/play-store-app-review-analysis
EDA on Play Store apps and user sentiment reviews
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Amazon Product Sales Data Analysis: Trends and Insights
amazon-dataset data-analysis matplotlib numpy pandas seaborn
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https://github.com/mohhasan1/machine-learning
This repository is where I learn and store information about various machine learning libraries, such as Pandas, scikit-learn, and others. It serves as a personal reference for exploring and experimenting with different ML tools and techniques.
machine-learning matplotlib numpy pandas seaborn sklearn
Last synced: 01 May 2026
https://github.com/avinashkr-ai/data-science-using-python-jupyter-notebook
Data Science Using Python Jupyter Notebook
data-science jupyter jupyter-notebook numpy pandas python
Last synced: 01 May 2026
https://github.com/abdoomohamedd/python-data-analysis-projects
A collection of data analysis projects that I have worked on. Each project involves cleaning data, performing exploratory data analysis (EDA), and creating visualizations to extract insights. The projects utilize various Python libraries, including pandas, numpy, matp
data-analysis data-analysis-python data-cleaning data-visualization matplotlib matplotlib-pyplot numpy pandas python
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Big Mart Sales Prediction..
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data-analysis-python matplotlib-pyplot numpy pandas
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https://github.com/anselmoo/useful-math-functions
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https://github.com/mogankumar/covid-19-classification
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This repository contains a Python implementation of the Lévy Walk simulation, a random walk model with a power-law step length distribution. The code simulates multiple walkers with boundary conditions and visualizes their trajectories for different values of the power-law exponent.
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Last synced: 02 May 2026
https://github.com/anas436/diabetes-prediction-whether-has-diabetes-or-not
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https://github.com/tigureis/data-preparation-from-kickstarter-campaigns
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Last synced: 19 Apr 2026
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Numerical Methods
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https://github.com/clchinkc/zombie
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https://github.com/futuresea-dev/media-player-vision
Media Player Vision
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https://github.com/niteshchawla/delhivery-featureengineering
The Data team builds intelligence and capabilities using this data that helps them to widen the gap between the quality, efficiency, and profitability of their business versus their competitors.
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https://github.com/sejalmankar1012/customer_churn
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https://github.com/Marvin-VW/3dengine_python
3D engine written in Python using OpenCV and NumPy
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https://github.com/hadson0/dip-candy-classification
Candy classification project using digital image processing. Includes dataset creation, model development, and evaluation tools with TensorFlow, OpenCV, and Albumentations. Complete setup and instructions provided for building and training the model.
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Last synced: 29 Sep 2025