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/darinochka/course_python_iad
ДЗ\Семинары майнора "Интеллектуальный анализ данных"
machine-learning numpy pandas python3
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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
data-science dataset numpy pandas python
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https://github.com/abimathi03/exploratory-data-analysis
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colab-notebook datacleaning dataset eda exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn
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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/mogankumar/bird-flock-simulation-with-pyspark
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argparse matplotlib numpy pyspark python3
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https://github.com/priyanshgoantiya/confidence-interval-visualization
Confidence Interval Simulation
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https://github.com/supriya811106/twitter-sentiment-analysis
Analyzing the mood of tweets! We sort tweets on popular topics into positive, negative, or neutral categories to gauge public opinion. See what Twitter really thinks!
bernoulli-naive-bayes jupyter-notebook matplotlib nlp-machine-learning nltk numpy pandas python scikit-learn seaborn sentiment-analysis text-classification tfidf-vectorizer wordcloud
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https://github.com/omogbolahan94/lego-analysis
Analysis of LEGO data from 1949 to 2021.
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https://github.com/afondiel/intro-to-artificial-intelligence-free-course-le-wagon
Intro to Artificial Intelligence Free Course from @LeWagon
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This repository contains implementations of various bioinspired algorithms for optimization and machine learning.
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EDA on Play Store apps and user sentiment reviews
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data-science jupyter jupyter-notebook numpy pandas python
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3d cumulative distribution graph matplotlib numpy pandas python web
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Applied to analyze how misinformation propagates within communities. With the goal of addressing health disparities and improving health literacy particularly in minority populations, the project explores both supervised and unsupervised learning approaches to understand patterns in graph-structured data using a custom Graph Attention Network
matplotlib ml networkx numpy pytorch
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https://github.com/paulo-santos-ds/analise_dados_musicais
Dashboard para compreender as preferências musicais dos ouvintes, tendências regionais e o impacto de artistas específicos.
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Практические работы по нейронным сетям МИРЭА 3 курс.
gensim ignite matplotlib neural-network nltk numpy pandas scipy-stats seaborn torch torchvision
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Desenvolver uma dashboard para análise do mercado financeiro utilizando Python e Power BI
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https://github.com/abideen-olawuwo/pyspark-prediction
pyspark prediction
linear-regression numpy pandas pyspark
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https://github.com/hariprasath-v/job-a-thon---may-2021
Exploratory Data Analysis
eda exploratory-data-analysis matplotlib missingno numpy pandas pandas-python plotnine
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https://github.com/muhammadadilnaeem/bcg-data-science-job-simulation-on-forage-august-2024
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/laszlokorte/canny-notebook
Numpy Canny Edge detector implementation to visualize each step
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https://github.com/rishieeee/spam-email-classifier
A simple machine learning project that classifies emails as spam or ham using TF-IDF and a Multinomial Naive Bayes model. The project covers data cleaning, text preprocessing, feature extraction, model training, and evaluation. A great beginner-friendly introduction to NLP and ML workflows.
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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/aliyahscoding/tiny-recommender
Tiny item-item recommender in Python using cosine similarity over a toy user–item matrix. Simple CLI to print top-N recommendations.
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https://github.com/aqueeqazam/numpy-for-mathematical-computing
You're at the perfect spot if you're interested in developing your career in data science or machine learning, or if you just enjoy having fun with mathematical operations.
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https://github.com/tonoy30/emotion-mask
A pytorch model for add face mask based on detected emotion.
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https://github.com/shreyas-wagire/data-science
jupyter-notebook numpy pandas python3
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https://github.com/konynour/facedectection
This project demonstrates real-time face detection using OpenCV and a pre-trained SSD (Single Shot MultiBox Detector) model. The system captures video from a camera, processes the frames, detects faces, and displays the results with bounding boxes and confidence scores. This application showcases the use of deep learning models for object detection
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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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kmeans implementation for a university course
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Predictive Health Analytics for Diabetic Risk Assessment and Personalized Reporting WebApp using Streamlit
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CAMSAI JupyterLite is a lightweight, browser-based environment tailored for AI-driven materials science research. It integrates CAMSAI tools, schemas, and workflows, enabling users to validate data, run simulations, and explore materials science applications without requiring local installation or setup.
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Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney,
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Estimate AOD using Sentinel-2 data, leveraging its spectral bands and spatial resolution to improve accuracy.
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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/afnanenayet/kaggle-titanic
The classic Kaggle Titanic data science challenge
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https://github.com/vermenea/masters---ad-signaling-pathway-using-hsp90-inhibitor
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https://github.com/sandipkushwaha20/brain_tumour_detector
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artificial-intelligence cuda deep-learning gymnasium neural-network neural-networks numpy nvidia-gpu python python3 torch
Last synced: 09 May 2026
https://github.com/hadjuse/spotify-recommendation-knn
Here is a personal project where i use KNN project to classify songs
data-science graphics interpretation knn-classification machine-learning matplotlib music numpy plotly spotify
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data data-analysis dataset jupyter jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python seaborn
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https://github.com/bhavna-kale/cars-eda-project
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data-analysis excel matplotlib numpy pandas python3 searborn streamlit
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https://github.com/krumyakimov/house-price-developments-in-bulgaria
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data-science jupyter-notebook matplotlib numpy pandas scipy seaborn
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Biopython Record Work and few extra coding excercise
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Last synced: 03 May 2026
https://github.com/kisaa-fatima/foreground-segmentation-using-kmeans-face-recognization-using-knn
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.
face-recognition foreground-segmentation kmeans-clustering knn-classification matplotlib numpy opencv2 pil
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https://github.com/chethannazre/railway-track-obstacle-detection-system
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automation cv2-library internship numpy ppt project python report
Last synced: 03 May 2026
https://github.com/fandredev/ml-my-guide
my own annotations about ML/DS using pandas, matplotlib, numpy, scikit learn
anaconda matplotlib numpy pandas plotly scikit-learn seaborn
Last synced: 03 May 2026
https://github.com/flexthink/matricize
A convenience library to convert between pure Python objects and their vectorized representations
data machine-learning numpy python
Last synced: 09 May 2026
https://github.com/chmohit91/Introduction-to-Python
A comprehensive collection of Python programming resources, from basics to advanced concepts. Built for learners, by learners
matplotlib numpy pandas plotly python python-library python3 seaborn
Last synced: 21 Jul 2025
https://github.com/ishaj72/analysis_model2
Dataset analysis model using matplotlib and other libraries
machine-learning matplotlib numpy pandas
Last synced: 09 May 2026
https://github.com/kingsley-ezenwaka/mean-var-std
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Last synced: 09 May 2026
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decisiontreeclassifier gridsearchcv iqr numpy pandas pca sklearn-decomposition sklearn-metrics
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https://github.com/raghavendra317/brain-tumor-detection
A deep learning-based project for classifying brain MRI images into Glioma, Meningioma, No Tumor, and Pituitary Tumor using Convolutional Neural Networks (CNNs). This project aims to assist in early tumor detection, improving diagnostic accuracy and healthcare outcomes.
cnn-classification keras numpy opencv scikit-learn tensorflow
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https://github.com/nak-dt/deep-decision-forest
A custom ensemble tree model inspired by Deep Forest
ai machine-learning machine-learning-algorithms numpy pandas python sklearn
Last synced: 03 May 2026
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
Last synced: 03 May 2026
https://github.com/crispengari/numpy
💎 The core concept of numpy arrays
ai artificial-intelligence datascience jupyter-notebook machine-learning numpy python
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https://github.com/jsnevt/decisiontreecls
Data Science - Árvores aleatórias - RandomForestClassifier
decision-tree-classifier matplotlib numpy pandas seaborn
Last synced: 03 May 2026
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.
data-analysis data-visualization matplotlib nanodegree-project numpy pandas python tmdb-movie
Last synced: 03 May 2026
https://github.com/shreenidhi7700/auto_price_prediction
We are required to use Machine Learning algorithms to predict the price of cars with the available independent variables such as Horsepower, no-of-cylinders, engine-type, city_mpg, highway_mpg etc.
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
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
Last synced: 03 May 2026
https://github.com/kaustavmodak/business-aided-customer-feedback-assessment-system
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framework machine-learning matplotlib nlp nltk numpy pandas pickle regex scikit-learn seaborn sentiment-analysis streamlt tfidf-vectorizer
Last synced: 03 May 2026
https://github.com/jonad/finding_donors
Predicting income with UCI Census Income Dataset using supervised machine learning algorithms
numpy pandas scikit-learn scikitlearn-machine-learning
Last synced: 03 May 2026
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
Last synced: 03 May 2026
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/veranyagaka/python
Everything Python
matplotlib mysql numpy oop-in-python pandasql python
Last synced: 03 May 2026
https://github.com/linggarm/priority-task-selection-using-evolutionary-programming
A web app that utilizes Evolutionary Programming to determine and prioritize tasks for efficient scheduling.
artificial-intelligence css evolutionary-algorithms evolutionary-programming flask html javascript machine-learning numpy python
Last synced: 12 Apr 2026
https://github.com/lmizner/codecademy_product_defects
Practicing rules of probability, set theory, and distributions
cdf jupyter-notebook numpy pmf ppf python rvs scipy-stats
Last synced: 03 May 2026
https://github.com/alvii147/discretetimelib
Python library for analysis of discrete time signals and systems
numpy pandas scipy signals-and-systems sympy
Last synced: 03 May 2026
https://github.com/sreelekhakummetha/diabetes-prediction
"Flask web app for diabetes prediction using ML"
css dataset flask html joblib machine-learning numpy pandas scikitlearn-machine-learning
Last synced: 03 May 2026
https://github.com/amr-yasser226/pagerank-power-method
Modular Python implementation of the PageRank algorithm via the power method, with discrete‑math foundations, end‑to‑end code, and experimental validation.
discrete-mathematics graph-algorithms markov-chain network-analysis networks numpy pagerank power-method python scipy
Last synced: 09 May 2026
https://github.com/nicolashaubricht/analise-dados-pib-per-capita
Este projeto tem como objetivo a análise de dados sobre as variações do PIB per capita em diversos países ao longo dos anos.
Last synced: 03 May 2026
https://github.com/abideen-olawuwo/logistic-regression-house-prediction
Using logistic Regression Model to predict house price
logistic-regression matplotlib numpy pandas python seaborn sklearn
Last synced: 12 Apr 2026
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.
joblib matplotlib numpy pandas pickle python scikit-learn seaborn
Last synced: 03 May 2026
https://github.com/joao-inacio/numpy-essencial-para-desenvolvedores-python
O curso foi elaborado para desenvolvedores Python que desejam explorar os recursos poderosos da biblioteca NumPy. Através de aulas práticas, eu vou adquirir as habilidades necessárias para trabalhar com arrays multidimensionais, realizar cálculos científicos complexos e manipular dados com eficiência.
array array-manipulations array-methods jupyter-notebook numpy python python3
Last synced: 03 May 2026
https://github.com/ieCecchetti/Python_ML_DL_examples
A variety of Machine Learning and Deep Learning scripts in Python. Included some theorical info about that in the Readme
bayes-classifier bayesian-statistics deep-learning kernel machine-learning matplotlib neural-network numpy pandas pca pca-analysis python scikitlearn-machine-learning scipy shi
Last synced: 10 Mar 2025
https://github.com/venkat-0706/titanic-survival-prediction
A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.
classification-report confusion-matrix gridsearchcv matplotlib numpy onehot-encoder pandas sckit-learn seaborn train-test-split xgboost
Last synced: 09 May 2026
https://github.com/asuquoaa/big_4_sports_teams_and_city_population_analysis-2018-
Analysis of sports teams' win/loss ratios vs. metro area populations across NFL, NBA, MLB, and NHL.
data-cleaning-and-preprocessing numpy pandas
Last synced: 13 May 2026
https://github.com/gmcgibbon/udacity-dlnd-project-1
Udacity Deep Learning Nanodegree - Project 1
deep-learning jupyter-notebook nn numpy udacity
Last synced: 13 May 2026
https://github.com/gregoritsch3/exercise_pandas_1
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,
data-cleaning data-visualization descriptive-statistics matplotlib numpy pandas scipy sympy
Last synced: 12 Apr 2026