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/blankscreen-exe/triple-trial-card-maker
Triple Triad Card maker for a game inspired by Final fantasy
card-game numpy opencv python tripletriad
Last synced: 30 Apr 2026
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
dashboard data-science data-visualization excel numpy pandas powerbi python sales-analysis sql
Last synced: 30 Apr 2026
https://github.com/omogbolahan94/nobel-prize-winner-analysis
Data exploration, cleaning, visualization and presentation
markdown matplotlib numpy pandas plotly seaborn
Last synced: 09 May 2026
https://github.com/professornova/ann-scratch
This repository implements a simple Artificial Neural Network (ANN) from scratch using only NumPy.
artificial-intelligence neural-network numpy scratch
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https://github.com/starlitdreams/lunar-landing
This project implements a DQN agent using PyTorch to solve the LunarLander-v2 environment from OpenAI Gym. The agent learns to control the lunar lander using experience replay and a target network, aiming to maximize rewards by landing smoothly. Uses CUDA for computation.
artificial-intelligence cuda deep-learning gymnasium neural-network neural-networks numpy nvidia-gpu python python3 torch
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https://github.com/ashish-kr-srivastava/olympic-games-eda---python
About Exploratory Data Analysis of a Historical Olympic Games Dataset, including all the games from Athens 1896 to Rio 2016.
data-visualization datacleaning eda matpotlib numpy pandas python seaborn seaborn-python
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https://github.com/mukeshthenraj/video-engagement-prediction
ML project to predict video engagement using Random Forest & XGBoost
gridsearchcv matplotlib numpy pandas random-forest-classifier roc-auc-curve scikit-learn video-analytics xgboost
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https://github.com/darinochka/course_python_iad
ДЗ\Семинары майнора "Интеллектуальный анализ данных"
machine-learning numpy pandas python3
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https://github.com/abhiram-epuru/ai-powered-movie-recommender
A Movie Recommendation System using the MovieLens dataset, leveraging collaborative filtering techniques such as KNN (k-Nearest Neighbors) and Singular Value Decomposition (SVD). The project demonstrates a personalized recommendation model capable of suggesting movies based on user preferences and interaction data.
matplotlib numpy pandas python sckiit-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.
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https://github.com/thangtran3112/machine-learning
NLP, Neural networks, pytorch, tensorflow, AWS Sagemaker fine-tuning
artificial-neural-networks aws-bedrock aws-sagemaker gensim gru-neural-networks keras lemmatization lstm-neural-networks nltk numpy one-hot-encoding pandas python recurrent-neural-network scikit-learn tensorflow tfidf-vectorizer word2vec
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https://github.com/lmizner/codecademy_biodiversity
Using knowledge of data analysis to interpret data about endangered animals for the National Park Service
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https://github.com/johnrobertsantos/exploratory-data-analysis-using-python
This project represents the culmination of my Python learning journey.
jupyter matplotlib numpy pandas python seaborn
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https://github.com/macnianios/fandango
a udemy project for seaborn data visualizations and basic pandas commands
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A portfolio risk engine using Python, integrating the Yahoo Finance API to ingest and preprocess historical multi-asset price data
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https://github.com/vlasdislav/flakevision
colab-notebook cv2 matplotlib ml numpy python scikit-learn
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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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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
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https://github.com/cbhihe/nn_binary-classifier
NN-based binary classification with logistic regression loss, back-propagation with gradient descent and optional regularization
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A package for the most basic complex random sampling.
complex complex-numbers complex-plane normal-distribution numpy pip python random random-number-generator uniform-distribution unit-circle
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https://github.com/satyamtripathi8/tools_for_data_science
Introduction to Data Science Tools(Python)
data-analysis-python matplotlib-pyplot numpy pandas
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https://github.com/aniketwithpython/fundamentals-of-scientific-computing
Fundamentals of Scientific Computing (MS1980) Notebook
jupyter matplotlib numpy pandas python
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This repository contains all the tasks, code, and documentation completed during the BCG Data Science job simulation on The Forage platform. The simulation focused on analyzing customer churn, building predictive models, and presenting insights for a major utility company.
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https://github.com/andremenezesds/machine_learning_test
Testing among various Machine Learning models and parameters, in order to further study their behaviour for Classification, Regression and Clustering analysis.
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https://github.com/mktechai-0786/data-analysis-on-dr-visits
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https://github.com/nahiyanhkhan/data-processing-and-visualization
Loan Data Processing using Python's numpy and pandas libraries. For data visualization, matplotlib and seaborn are used.
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Rating: (4/10) This Python script simulates circuits using PySpice, importing libraries like NumPy and Matplotlib. It defines voltage divider, diode circuits, subcircuit definitions, DC sweep analysis, and simulates each circuit using the simulator.
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This analysis explores the banking customer dataset to uncover key patterns in account holdings, loan portfolios, income profiles, and transactional behavior. By integrating both financial and demographic variables, we examine customer engagement, lending trends, and risk exposure across different segments.
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https://github.com/badranalyst/movie-correlation-analysis-in-python
This project analyzes movie data correlations using Python libraries like Pandas, NumPy, Seaborn, and Matplotlib. It examines relationships between attributes such as ratings, genres, and box office performance to uncover trends that inform recommendations and enhance understanding of movie success factors.
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Biopython Record Work and few extra coding excercise
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https://github.com/priyanshul28/exercise_pandas
A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib.
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https://github.com/sultanazhari/the-effect-of-weather-on-travel-frequency
Zuber Company need to know passenger preferences and external effect on the trip. As an Data Analyst we're provide actual data who has affect on travel frequency.
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https://github.com/aliakbar-omidi/iris-practice-project
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https://github.com/thiagonunesbatista/deuteranopia-simulator-computer-vision-python
Live color detection with a webcam and a simulation of deuteranopia's color perception effects.
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https://github.com/abhijais4896/cardiovascular-disease-prediction
Cardiovascular Disease Prediction using machine learning and Python
data-analysis datascience deep-learning machine-learning matplotlib numpy pandas python seaborn visualization
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https://github.com/sadmanca/imdb-scraper
Scrapes IMDb's movie database and outputs the data to CSV files.
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https://github.com/shreenidhi7700/auto_price_prediction
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decision-tree-regression ensemble knn-regression linear-regression machine-learning-algorithms matplotlib-pyplot numpy pandas python3 random-forest-regression regression seaborn xgboost-regression
Last synced: 04 May 2026
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Bu repository, Manisa'da gerçekleştirilen BTK Akademi Uygulamalı Makine Öğrenmesi ve Derin Öğrenme Atölyesi'ne ait eğitim sürecini kapsamaktadır. Atölyede katılımcılar, ileri düzey makine öğrenmesi ve derin öğrenme teknikleriyle ilgili teorik ve pratik bilgiler edinmektedir.
matplotlib numpy pandas scikit-learn seaborn
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Predicting income with UCI Census Income Dataset using supervised machine learning algorithms
numpy pandas scikit-learn scikitlearn-machine-learning
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Data analysis on students result dataset using python libraries.
boxplot countplots data-analysis numpy pandas pie-chart python3 seaborn
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Python notebooks for data manipulation (Pandas/NumPy) and API workflows – from basics to practical examples.
api beginner-friendly data-analysis data-science http-requests jupyter-notebook numpy pandas pandas-dataframe python tutorial
Last synced: 03 May 2026
https://github.com/lmizner/codecademy_product_defects
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cdf jupyter-notebook numpy pmf ppf python rvs scipy-stats
Last synced: 03 May 2026
https://github.com/sreelekhakummetha/diabetes-prediction
"Flask web app for diabetes prediction using ML"
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https://github.com/takana671/noisetexture
Generating noise texture images.
cellular-noise cython domain-warping fractal noise-textures numpy periodic-noise perlin-noise python3 simplex-noise tileable-noise value-noise voronoi
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https://github.com/michaelzheng67/real_estate_ml
AI experiment developed to run against simulated real estate and investing environment
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https://github.com/ravi0529/e-commerce-annual-spend-model
A basic Linear Regression model for predicting annual customer's spending
jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn scipy
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https://github.com/ananupam/eda-stock_market
An Exploratory Data Analysis project done on Financial data read from a search engine (yahoo) to predict the trends of stocks of 4 Tech companies.
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 06 May 2026
https://github.com/grachale/convolution_image
The implementation of a function that takes an image (RGB or gray one) and a filter (kernel) and applies a convolution between them.
convolution image-processing numpy python
Last synced: 03 May 2026
https://github.com/RedInfinityPro/Python-Task-Manager
Rating: (7/10): The Python Task Manager, is a user-friendly interface using tkinter library for system monitoring and management. It displays detailed system process information using psutil, with interactive features.
matplotlib numpy psutil pygetwindow tkinter
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https://github.com/jahanostg/healthguard_with-smart-ai-diagnosis-hub
This project is a Flask-based platform for patients, donors, and doctors, integrating hospital management in one solution. It uses Machine Learning models for predictive health analysis and Power BI for interactive dashboards. Through this project, I enhanced my skills in full-stack development, applied ML, and healthcare data solutions.
css flask-api google-colaboratory-notebooks html5 js machine-learning mysql numpy pandas pkl-model powerbi python-3
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https://github.com/egorumaev/2024-ab-tests-metrics
Анализ соответствия размера выборки и плановых значений метрик A/B-теста
latex monte-carlo-method numpy pandas statmodels
Last synced: 04 May 2026
https://github.com/raduldev/datasciencepython
Interview Task From CSIR-IGIB, Delhi & maps for journal
biopython colab-notebook counter jupyter-notebook matplotlib numpy pandas
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https://github.com/charlenry/python_data_science
Mes notebooks de travaux pratiques sur Python pour la Data Science
analysis data dataframe jupyter kaggle matplotlib notebook numpy pandas pyplot python science seaborn visualisation
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https://github.com/dmalexx/lab1_computervision
Computer Vision Intro
matplotlib matplotlib-python numpy opencv rgb
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https://github.com/aravinda-1402/covid-detection-model-using-chest-x-ray
The objective of this project is to develop a Deep Learning Model to identify the X-Rays of healthy vs. Pneumonia (Corona) afflicted patients using the Chest X-Ray dataset, and use this model to power the AI application to test the Corona Virus in a faster phase.
classification cnn covid flask keras numpy pandas tensorflow
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https://github.com/damisparks/become_data_analyst
Are you new to Data Analysis ? Here you will find simple notebook that will help through your journey. These are personal projects I work on and still working.
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https://github.com/abhivur/graduate-income-forecaster
Contributors: Abdussalam Raheem, Chiara Su, and Joseph Botros
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https://github.com/muhammad-rebaal/eda-with-python-and-pandas
Explore, Analyze, and Visualize Data with Python and Pandas: Dive into the world of data analysis and visualization using Python and Pandas with this repository. Discover valuable insights, clean and preprocess your data, and create stunning visualizations to make data-driven decisions.
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https://github.com/hmourad2023/tweets_sentiments_emotions_analysis
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https://github.com/arjunravi26/selenium
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https://github.com/omogbolahan94/handwashing-history-analysis
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https://github.com/aadrianleo/book-recommendation-system
Book Recommender System using the Book-Crossing dataset. Compares content-based (TF-IDF + cosine similarity) and collaborative filtering (SVD) methods for book recommendations. Includes data cleaning, EDA, and model evaluation (Precision@5, RMSE) in Python.
artificial-intelligence collaborative-filtering content-based-filtering cosine-similarity data-preprocessing jupyter jupyter-notebook machine-learning matrix-factorization numpy pandas predictive-modeling python3 recommendation-system recommender-system scikit-learn sckit-surprise
Last synced: 10 Apr 2026
https://github.com/doondigangadhar30/ghiblify-animeganv3
A creative tool that generates beautiful Ghibli-style artwork from your image input.
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Last synced: 01 Jul 2025
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
Last synced: 04 May 2026
https://github.com/tigureis/aula_deployment
This project not only demonstrates a machine learning pipeline but also serves as a template for deploying models into production. By leveraging the project's structure and code, you can streamline the process of deploying your own machine learning models.
Last synced: 11 Apr 2026
https://github.com/dmarks84/coursework_project_ml-classification
Project for IBM Data Science course on Machine Learning -- Trained ML models for classification, evaluating based on a variety of metrics
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https://github.com/kartmaan/prime-number-analysis
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https://github.com/lorenzorottigni/ml-spam-filter
Machine Learning python bootcamp: natural language processing with spam filter purposes
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Last synced: 11 Apr 2026
https://github.com/2100031988/programming_for_aiml_codes
All of my descriptive code are published here and is updated everyday as I learn new concepts
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https://github.com/tanmay-312/pacman-game-python
"Embark on a nostalgic journey with my Python Pac-Man game! 🎮🕹️ Crafted using pygame, tcod, numpy, and enum libraries, it's a modern twist on a classic. Navigate the maze, chomp pellets, and evade ghosts in this retro-inspired adventure! 🚀👻 #PythonGameDev #PacManRevival #ClassicGaming"
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https://github.com/coderjolly/employee-information-retrieval-system
An information retrieval system constructed using Flask to perform ETL operations while ingesting New York Payroll data and provide a frontend user interface for manipulating filters and queries.
etl flask mvc numpy pandas python sqlite3
Last synced: 11 Apr 2026
https://github.com/sudarsann27/basic_machine_learning_algorithms
Basic Machine learning algorithms using scikit-learn and other fundamental libraries
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https://github.com/dyarleniber/hands-on-machine-learning
This repository contains code examples, exercises, and projects related to the concepts covered in the book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition" by Aurélien Géron.
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https://github.com/vansh-py04/convolution-net-from-scratch
A minimal NumPy-based implementation of a 3-layer convolutional neural network (CNN) from scratch — including custom forward and backward passes for conv, ReLU, pooling, affine, and softmax layers. Perfect for learning how CNNs actually work under the hood.
backpropagation cnn computer-vision convolutional-neural-networks cs231n cs231n-assignment deep-learning from-scratch from-scratch-in-python fully-connected-network machine-learning maxpool2d nueral-networks numpy softmax stanford-deep-learning
Last synced: 24 Apr 2026
https://github.com/kaguya163/marketing_campaigns
Анализ маркетинговой эффективности в спортивном ритейле.
ab-testing machine-learning matplotlib numpy pandas python scikit-learn scipy sqlite3
Last synced: 11 Apr 2026