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/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
Last synced: 30 Apr 2026
https://github.com/alphan26/airbnb-data-visualization
I've used the airbnb new york dataset from kaggle to make a comprehensive data visualization using pandas, seaborn, matplotlib.
machine-learning matplotlib numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/kernel-loophole/data-analysis-with-pandas
pandas
data-science dataset numpy pandas python
Last synced: 30 Apr 2026
https://github.com/lmizner/codecademy_biodiversity
Using knowledge of data analysis to interpret data about endangered animals for the National Park Service
barplot jupyter-notebook matplotlib-pyplot numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/ola-kaznowska/summer-programming-camp-gp-travel-2024
Projects implemented at summer programming camp https://github.com/ArsBeneMoriendi
ai artificial-intelligence cv2 json math neural-network numpy python3 tensorflow
Last synced: 30 Apr 2026
https://github.com/maximlevchenko/python-course-convolution-orb-detector-data-processing-2d-game
This repository contains a collection of projects developed during a university Python course. Each project explores different aspects of data processing, analysis, and computer vision.
2dgame bomberman-game computer-vision convolution harris-corner-detector image-processing keypoint-detection numpy pandas python statistical-analysis
Last synced: 30 Apr 2026
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/mogankumar/bird-flock-simulation-with-pyspark
A PySpark-based bird flock simulation modeling alignment, cohesion, and separation forces with a leader guiding the flock. Efficiently handles large-scale simulations and generates a visualized GIF of the flock’s movement.
argparse matplotlib numpy pyspark python3
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https://github.com/badranalyst/e-commerce-customer-analysis-data-science-foundations-case-study
This case study explores e-commerce customer data through data exploration, pre-processing, and splitting. It includes model building and training to analyze customer behavior. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used for the analysis and model development.
data-analysis data-science dataset eda exploratory-data-analysis machine-learning matplotlib ml model-building model-training numpy pandas pre-processing python seaborn
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https://github.com/priyanshgoantiya/confidence-interval-visualization
Confidence Interval Simulation
matplotlib numpy plotly seaborn
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https://github.com/bjpcjp/optimize-mktg-spend-with-lagrange
simple demo of marketing (2 channel) spend optimization
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https://github.com/afondiel/intro-to-artificial-intelligence-free-course-le-wagon
Intro to Artificial Intelligence Free Course from @LeWagon
ai ai-courses artificial-intelligence data-science lewagon machine-learning numpy pandas prophet-facebook regression-models scikit-learn sklearn
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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
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https://github.com/hghyhghy/notebook
Repo consist numpy , matplotlib and pymongo aggression
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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/ahmedsamir45/demograghic-data-analyzer
answer some questions about the data
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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.
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https://github.com/avinashkr-ai/data-science-using-python-jupyter-notebook
Data Science Using Python Jupyter Notebook
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https://github.com/emmanueltobi/ai-academy-university
Code samples from the Intel Nervana AI Academy University held in FUTA
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https://github.com/satyamtripathi8/tools_for_data_science
Introduction to Data Science Tools(Python)
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https://github.com/dostuffthatmatters/jax-capability-analysis
demo repository containing the experiments for my master's seminar @ TUM
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https://github.com/aniketwithpython/fundamentals-of-scientific-computing
Fundamentals of Scientific Computing (MS1980) Notebook
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https://github.com/abideen-olawuwo/pyspark-prediction
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https://github.com/laszlokorte/canny-notebook
Numpy Canny Edge detector implementation to visualize each step
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https://github.com/dpb44/exploring-the-intuition-of-neural-networks-on-a-classification-problem-using-only-numpy
Implementing a softmax-based neural network from scratch using NumPy to classify the Iris dataset, leveraging vectorization, gradient descent, and decision boundary visualization.
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https://github.com/ducha-aiki/laf2ell
Utils for LAF to ellipse and back conversion. Also function for drawing LAFs.
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https://github.com/mgitrov/ann-from-scratch
An artificial neural network implemented from scratch using numpy only.
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https://github.com/voidkeishi/computational-science
This repository contains implementations of algorithms from the course "Computational Science" at HUST
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https://github.com/shreeparab1890/unicorns-of-india-till-sep-2022-analysis-eda
This ipython notebook is the Exploratory data analysis (EDA) of the Unicorns of India till Sep 2022.
analysis data-analysis eda exploratory-data-analysis matplotlib-pyplot numpy pandas plotly
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https://github.com/parham1998/linear_regression_pytorch
Implementation of a simple Linear Regression model with Numpy & PyTorch library
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https://github.com/amishidesai04/emergency-calls-data-analysis-project
Welcome to the Emergency Calls Data Analysis project repository. This project is dedicated to extracting, processing, and visualizing data from the "Emergency – 911 Calls, Montgomery County" dataset, sourced from Kaggle. The main objective is to analyze trends in emergency calls in Montgomery County, Pennsylvania, spanning multiple years.
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https://github.com/hariprasath-v/solafune_aerosol_optical_depth_estimation
Estimate AOD using Sentinel-2 data, leveraging its spectral bands and spatial resolution to improve accuracy.
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https://github.com/ksharma67/intel-stock-predication-wiith-eda
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https://github.com/hadjuse/spotify-recommendation-knn
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https://github.com/bhavna-kale/cars-eda-project
Project analyzing used car market data to identify high-impact price drivers and depreciation curves, presented through an interactive web application.
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https://github.com/isinghabhishek/data_analysis_with_python
Introduction to Data Analysis covering the basics of Python, Numpy, Pandas, Data Visualization, and Exploratory Data Analysis.
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Implement a basic version of the interactive image cut-out/segmentation approach called Lazy Snapping. The program uses K-Means Clustering to segment images into foreground and background based on user-provided seed pixels.
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https://github.com/chethannazre/railway-track-obstacle-detection-system
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https://github.com/k-ilyas/ai-projects-handwritten-digit-recognition-titanic-survivor-analysis
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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/prathicashettym/machinelearningalgorithms
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https://github.com/crispengari/numpy
💎 The core concept of numpy arrays
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https://github.com/jsnevt/decisiontreecls
Data Science - Árvores aleatórias - RandomForestClassifier
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https://github.com/katerynazakharova/machine-learning
Example of a ML algorithm.
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https://github.com/codeslash21/tmdb_data_analysis
We analysed TMDB dataset which contains around 11000 movies details. We analyzed to find some interesting facts about the dataset.
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https://github.com/akhil-krishnan-r/super_market_analysis
The growth of supermarkets in most populated cities are increasing and market competitions are also high. This dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this dataset
data-visualization matplotlib numpy pandas seaborn
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https://github.com/vinicius999/icu-beds-forecast-covid-19
Predição da ocupação de leitos de UTI no Brasil devido a pandemia do COVID-19, usando Support Vector Regression (SVR)
covid-19 matplotlib numpy pandas python sklearn support-vector-regression
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https://github.com/kaustavmodak/business-aided-customer-feedback-assessment-system
A Streamlit-based sentiment analysis app that classifies customer reviews into Positive, Neutral, or Negative using a pre-trained ML mode
framework machine-learning matplotlib nlp nltk numpy pandas pickle regex scikit-learn seaborn sentiment-analysis streamlt tfidf-vectorizer
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https://github.com/carol-neto/sprint-9-making-data-driven-business-decisions
In this project I evaluate hypotheses using ICE and RICE and perform A/B testing analysis.
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https://github.com/zongxr/dcic2025-riverwaterprediction
闽江,福建省最大独流入海河流,流域降水丰沛。在新型电力系统和新阶段水利高质量发展的环境下,如何缓解流域防汛压力,提升水资源利用率是水电企业高质量发展的重中之重。目前,基于传统水文学原理已实现未来9小时甲级精度的洪水预报,但存在遇见期与预见精度上仍有提升空间,因此,通过结合人工智能技术实现流域入库流量的精准预测,对保障水库安全调度、防洪及清洁能源稳定供应具有重大战略意义。
lightgbm machine-learning numpy pandas sklearn time-series xgboost
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https://github.com/manikantasanjay/youtube_exploratory_data_analytics
This is a Mini Project made using Python Libraries like Numpy, Pandas, Matplotlib etc to perform Data Analytics on US Video and Comments dataset.
jupyter-notebook matplotlib numpy pandas plotly python seaborn wordcloud
Last synced: 03 May 2026
https://github.com/syed-m-nofel/python-data-science-fundamentals
Python notebooks for data manipulation (Pandas/NumPy) and API workflows – from basics to practical examples.
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Last synced: 03 May 2026
https://github.com/coderooz/handwritten_digit_recognition
This project uses a Convolutional Neural Network (CNN) to recognize handwritten digits from the MNIST dataset. The model is built using TensorFlow and Keras.
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Last synced: 03 May 2026
https://github.com/feguedi/clasificador-numeros
Proyecto final de la materia de Inteligencia Artificial donde se desarrolla un software que pueda clasificar los números de la base de datos MNIST.
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Last synced: 03 May 2026
https://github.com/nicolashaubricht/analise-dados-pib-per-capita
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https://github.com/atchayaah/home-value-insights-kc
Data-driven project predicting King County housing prices using EDA, regression models, and ML techniques, developed as part of IBM’s Data Analysis with Python course on Coursera.
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https://github.com/fnfkkengine/website-performance-data-analysis-project
🌐 Analyze website performance data to gain insights on user engagement, traffic trends, and optimize your digital presence effectively.
analysis analytics dashboard data-analyst data-collection data-preprocessing data-visualization dax funnel-analysis jupyter-notebook matplotlib mysql numpy paid-search power-query project-management python storytelling
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https://github.com/sohamrider786/house_price_predictor
A machine learning project to predict house prices based on various property features using advanced regression techniques. This project demonstrates end-to-end model development, including data preprocessing, feature engineering, model training, evaluation, and visualization.
machine-learning matplotlib-pyplot numpy pandas random-forest-regression sklearn-library
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https://github.com/nellyndj52/breast-cancer-classification-ml
This project aims to build a machine learning models to predict whether a tumor is malignant or benign based on the Breast Cancer dataset. Various classification algorithms are tested, including Logistic Regression, Random Forest, and Support Vector Machine (SVM).
breast-cancer cancer dataset flask-api heroku-deployment lime machine-learning mlp-networks numpy perceptron-neural-networks pickle segmentation support-vector-machines svm
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https://github.com/hamishivi/denserflow
A basic numpy neural net library. This achieved high marks in a uni assignment!
deep-learning neural-network numpy
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https://github.com/johanntf/direccion_maximo_crecimiento
Dirección de máximo crecimiento en una función multivariable dado un punto de partida
customtkinter matplotlib numpy python
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https://github.com/sanjanahombal/study-on-sentiment-analysis
This project explores the optimal combination of Bag-of-Words and TF-IDF vectorization with Naive Bayes and SVM for sentiment analysis. It evaluates performance using accuracy, precision, recall, and F1-score, addressing ethical concerns like data privacy and bias to improve sentiment classification in real-world applications.
bag-of-words confusionmatrix googlecollab gridsearch-crossvalidation matplotlib-pyplot naive-bayes-classifier numpy pandas seaborn sklearn svm-classifier tfidf-vectorizer
Last synced: 07 Jan 2026
https://github.com/sultanazhari/customer-habit-analysis-model
Megaline company wants to develop a model that can analyze consumer behavior and recommend one of Megaline's two new plans: Smart or Ultra. In this classification task, we need to develop a model that is able to choose the right package
accuracy-score decision-tree-classifier logistic-regression matplotlib-pyplot numpy pandas python3 random-forest-classifier seaborn train-test-using-sklearn
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https://github.com/lefteris-souflas/economic-connectedness-analysis
Jupyter notebook, replicating studies on social capital from Nature journal, analyze economic connectedness, upward income mobility, and more. Python and relevant datasets are utilized to recreate figures and analyses.
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https://github.com/bearddan2000/python-web-3d-matplotlib-scatter-parametric-curve-graph
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3d curve graph matplotlib numpy pandas parametric python scatter web
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https://github.com/santiagoenriquega/custom_neural_net
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https://github.com/toon-van-berkel/imagetovideofx
ImageToVideoFX is a simple Python project that takes an image (JPG/PNG) and transforms it into a short video with a smooth zoom effect. You can optionally add background music. This is perfect for content creators or developers who want to automate turning images into engaging video content.
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https://github.com/trups39/nyc-green-taxi-trip-analysis
Analyze NYC Green Taxi data, predicting fares and optimizing pickup locations using Regression machine learning models uncover travel patterns.
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https://github.com/nazmul-1117/100-days-of-machine-learning
I'm Nazmul so exited to start a new journey to learn 100 Days of Machine Learning. It's February 8, 2025. I'm so exited, let's see what happened insha'Allah
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https://github.com/dor-sketch/audio-visual-synth
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https://github.com/yash22222/analysis-of-amcat-aspiring-minds
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https://github.com/yesenvidnath/facerecognito-pythonfacialrecognitionapplication
this is a web application created to detect faces using a pre-given image links through Excel format, this project uses Pytorch & Flask
Last synced: 10 Apr 2026
https://github.com/wondermongering/nonlineardatagen
A flexible Python framework for generating, fitting, and visualizing noisy nonlinear data. Perfect for educational purposes, algorithm testing, and demonstrating statistical concepts. Includes tools for various noise models, custom function fitting, robust error metrics, and publication-quality visualizations
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https://github.com/altaris/turbo-broccoli
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https://github.com/aminkhavari78/-maternal-health-risk-data-set
In this part I'm working on Maternal Health Risk Prediction
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https://github.com/kr1shnasomani/facetronix
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https://github.com/yalai92/master_academic_projects
This repository is dedicated to showcasing the academic projects completed during my Master in Data Science & AI. The main objective is to show a collection of projects in various data science fields, including: data cleaning & preprocessing, data analysis, data visualization, machine learning, clustering, among others.
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https://github.com/nermeenkamal/population_growth_analysis_and_visualization
Python
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https://github.com/muhkartal/fr-framework
A modular and extensible face recognition framework featuring real-time detection, facial landmark analysis, and recognition with API support.
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https://github.com/nikhilfuke1/movies-recommendation-system-python-project-
This project is a simple movie recommendation system built using Python. It suggests movies based on the similarity of titles and a predefined similarity score matrix.
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https://github.com/raminbadri/machine-learning-with-python
This where I will upload all my machine learning projects and samples
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https://github.com/guifernandess7/ciencia-de-dados-e-ml-notebooks
Notebooks com uso dos módulos Pandas, Numpy e Matplotlib para análise de dados e criação de gráficos e tensorFlow e seaborn para machine learning e visualização
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Last synced: 04 Apr 2026