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/tebogoyungmercykay/mathematical_modelling_in_python
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
clock counter differential-equations equations-and-plotting growth-factor is-sorted lamda-expressions linearization logistic-difference-equations mathplotlib numpy pell-recursive polyfit python recursion rieman-sums sympy
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https://github.com/shahsuvarli/election-voters-data-analysis-pandas
Educational project analyzing Azerbaijan voter demographics with pandas, focusing on data cleaning, grouping, and visualization.
cleaning data grouping matplotlib numpy pandas python visualization
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https://github.com/winterwind/housingpricesproject
A two-part project involving making predictions using various regressors and then implementing linear regression from scratch and predicting that way
csv csv-files data-science decision-tree gradient-descent jupyter jupyter-notebook knearest-neighbors knn linear-regression linear-regression-scratch machine-learning matplotlib matplotlib-pyplot numpy pandas python random-forest regression sklearn
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https://github.com/f-ssemwanga/dab-dataanalysis
DAB Radio Data Analysis Application
matplotlib numpy oop-principles pandas-dataframe postgresql psycopg2 python-3 regex-pattern seaborn threading tkinter-gui
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https://github.com/mark1708/neurointerfaces-of-information-systems
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numpy pandas python scikit-learn
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anaconda class classification-algorithm data-science dataanalysis kaggle machine-learning machine-learning-algorithms matpolotlib numpy pandas python python3 seaborn
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api fastapi joblib machine-learning matplotlib numpy pandas pingouin pydantic scikit-learn seaborn streamlit uvicorn
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knearest-neighbor-classifier logistic-regression matplotlib numpy pandas python random-forest-classifier seaborn sklearn
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Deep Learning Framework built entirely using numpy
deep-learning deep-learning-framework minigrad numpy pytorch
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k-means-clustering matplotlib numpy pandas principal-component-analysis python scikit-learn seaborn
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https://github.com/manojkp08/student-performance-analysis
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matplotlib numpy pandas python seaborn
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matplotlib numpy pandas python seaborn
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💻📊✅ Curso de Programação em Python para Data Science | Mensuramento de dados com Matplotlib.
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💻📊✅ Curso de Programação em Python para Data Science | Identificando e analisando problemas.
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data-analysis data-science data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn tips
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https://github.com/sujalk777/signal_systems_lab
This repository contains the assignments for the Signal Systems Laboratory course offered at IIT Jammu Autumn 24
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Python tools for robotics, deep reinforcement learning and neuroscience research.
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End To End Machine Learning Project guided by Krish Naik from Ineuron.
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https://github.com/sofiaalmaz/fanfictionproject
Анализ фанфиков по Гарри Поттеру с целью написания самого популярного фанфика
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jupyter-notebook kaggle matplotlib numpy pandas python scikit-learn seaborn
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To Cartoonify an Image using opencv-python
image-processing matplotlib numpy opencv opencv-python python
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https://github.com/arrmansa/leetcode-nice-solutions
Some solutions for leetcode problems that I found fun - either the algorithm or using numpy bruteforce where it shouldn't be
leetcode leetcode-python leetcode-python3 leetcode-solutions numpy python python3
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https://github.com/techcsispit/algorithmic-trading
This project focuses on algorithmic training using Python in Jupyter Notebooks. It covers various data structures and algorithms, providing a hands-on approach to solving algorithmic challenges. The notebooks are designed to be interactive and educational for learners of all levels.
matplotlib numpy pandas python sklearn
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How to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results.
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data-analysis matplotlib numpy pandas python super-store
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business-analysis data-analysis data-visualization matplotlib numpy pandas python seaborn
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https://github.com/gyselle-marques/reconhecimentofacial-desafiodio
Machine Learning: Sistema de Reconhecimento Facial criado com OpenCV e YOLO11.
colab-notebook dataset dio-bootcamp face-detection face-recognition image-classification machine-learning numpy object-detection opencv opencv-python portuguese-brazilian python transfer-learning yolo yolov11
Last synced: 12 Apr 2026
https://github.com/lmizner/codecademy_life_expectancy_gdp
Utilize understanding of data visualization to analyze and plot data about GDP and life expectancy
barplot jupyter-notebook lineplot matplotlib-pyplot numpy pandas python scatterplot seaborn
Last synced: 12 Apr 2026
https://github.com/afnanenayet/kaggle-titanic
The classic Kaggle Titanic data science challenge
backprop backpropagation classification classifier data forest kaggle layer learn mlp multi numpy pandas perceptron random science scikit sklearn titanic
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Desenvolver uma dashboard para análise do mercado financeiro utilizando Python e Power BI
etl matplotlib numpy pandas powerbi python seaborn
Last synced: 12 Apr 2026
https://github.com/mnitin-reddy/summer-olympics-data-analysis-web-app
An interactive web app for exploring trends in Olympic Games history, analyzing overall medal tallies, country-wise performance, and athlete demographics. Built with Python and Streamlit, this app offers insights through visualizations and data-driven statistics.
dataanalytics matplotlib numpy pandas python seaborn streamlit
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https://github.com/data-analysis-python/pandas_api_spark
Uso del API de pandas en Spark
envs jupyter-notebook matplotlib numpy pandas pyspark python3 terminal
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https://github.com/themihirmathur/soiligator
Soiligator is an advanced machine learning project designed to optimize irrigation management by predicting whether irrigation is necessary based on environmental and soil-related data.
auc-score logistic-regression machine-learning matplotlib numpy pandas python random-forest-classifier roc-curve scikit-learn seaborn standardscaler support-vector-machine
Last synced: 12 Apr 2026
https://github.com/emhash/machine-learning-and-ai
Personal tasks or codes of Machine Learning and Artificial Intelligence. Practice codes and projects of Ml/AI will be share here.
ai datasets ipynb jupyter-notebook keras linear-regression logistic-regression machine-learning machine-learning-algorithms numpy opencv pandas python seaborn sklearn tensorflow
Last synced: 05 Jan 2026
https://github.com/armahdavi/mlops
Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.
apache-beam docker fastapi logistic-regression mlops mlops-workflow numpy random-forest sklearn tensorflow-extended unicorn xgboost
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https://github.com/rajaditya01/refactored_py_ds_ml_bootcamp
Learning ML
deep-learning eda machine-learning numpy pandas python static
Last synced: 12 Apr 2026
https://github.com/nadahamdy217/movies-data-etl-using-python-gcp
Developed a comprehensive ETL pipeline for movie data using Python, Docker, and a GCP Pub/Sub emulator. Successfully processed and published the data in a local Docker environment, showcasing advanced data engineering skills.
analytics data data-engineering data-ingestion data-preparation data-preprocessing data-processing data-project docker etl etl-pipeline gcp matplotlib matplotlib-pyplot numpy pandas pubsub python scipy seaborn
Last synced: 06 Jan 2026
https://github.com/lijesh010/employeeanalysis-
This is a simple data analysis project developed as part of my Entri Elevate Data Science and Machine Learning course. It serves as a practical demonstration of my skills in data analysis.
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/fabricioarendtorres/streamauc
Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..
classification-model machine-learning metrics numpy precision-recall-curve receiver-operating-characteristic
Last synced: 06 Jan 2026
https://github.com/lorenzorottigni/ml-random
Machine Learning course of Piero Savastano 7: matplotlib, accuracy_score, precision_score, recall_score, f1_score, classification_report
machine-learning matplotlib metrics numpy
Last synced: 04 May 2026
https://github.com/mpoojithavigneswari/bangalore-house-price-prediction
This project involves creating a website that predicts Bangalore house prices with 94.65% accuracy using a machine learning algorithm.
data-analysis data-science flask-server machine-learning matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/bhushan148/ipl-stats-analysis
This project explores IPL data to show team and player performances. 📈 Key highlights include analyzing match results, highest scores, and performance at different venues. 🏟️ It uses charts to reveal trends like win margins and average scores by venue. 📉 Discover important insights into what affects match outcomes and team success.
jupyter-notebook markdown matplotlib-pyplot numpy pandas python seaborn
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https://github.com/constraintautomaton/client_pgu1
The client part of the PgU1 project it. It command the robot and do the video processing
numpy opencv paramiko pyqt5 python3 raspberry-pi-3
Last synced: 12 Apr 2026
https://github.com/22p31a0512/sentimental-analysis
Build a model to classify text as positive, negative, or neutral. Apply NLP techniques for preprocessing and machine learning for classification. Aim for accurate sentiment prediction on various text formats.
feature-engineering machine-learning natural-language-processing numpy pandas python supervised-learning text-classification text-processing tokenization
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https://github.com/akashkg03/facial-expression-image-classification
This notebook involves to build a facial expression image classifier which categorizes facial expressions into one of seven emotions: anger, disgust, fear, happiness, sadness, surprise, and neutral.
jupiter-notebook numpy pandas python
Last synced: 28 Apr 2026
https://github.com/ewakamoto/03.-python-projects
This is my collection of Python Projects
jupyter jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/armahdavi/data_pipeline_analytics_statistics_ml_pm_psd_residential_qff
Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782
data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics
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https://github.com/sonatipek/matris_transactions_py
My "Python Programlama-I" lesson's homework. Some matris transactions with numpy library in Python
matrix numpy numpy-arrays python sonatipek
Last synced: 24 Mar 2025
https://github.com/sothulthorn/stock-prediction-portal
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axios django django-rest-framework javascript keras matplotlib numpy pandas python react tensorflow yfinance
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Shock tube experiment planning and data analysis package.
cantera data-analysis matplotlib numpy shock-tube
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https://github.com/akashkg03/feynn-labs-internship
This repository contains the projects I did as a Data Science intern with Feynn Labs.
data-science machine-learning matplotlib numpy pandas python scipy seaborn
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https://github.com/aaaastark/life_expectancy_predication
Life_Expectancy_Predication
dataframe machine-learning matplotlib numpy pandas python sklearn tensorflow
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https://github.com/Sadegh-Khedry/Pneumonia-Detection-Using-CNN
Classifying chest X-ray images into two categories: Pneumonia or Normal using a Convolutional Neural Network (CNN).
cnn convolutional-neural-networks cv2 deep-learning harris-corners joblib jupyter-notebook keras kmeans-clustering matplotlib numpy orb pandas python seaborn shutil sifit tensorflow
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https://github.com/yahiazakaria445/image-classification-using-vgg-16
computer vision model for 10 classes classification
matplotlib numpy opencv pandas sklearn tensorflow
Last synced: 12 Apr 2026
https://github.com/alejoduarte23/bs6472
Serviceability assessment as per BS 6472 for human exposure to vibration in buildings Vibration sources other than blasting
matplotlib numpy pydantic scipy
Last synced: 07 Jan 2026
https://github.com/programmersteve/price_regression_ml
jupyter machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 12 Apr 2026
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keras matplotlib numpy pandas pyplot scipy sklearn-metrics tensorflow
Last synced: 07 Jan 2026
https://github.com/reckonsys/datascience-docker
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docker docker-image dockerfile nltk numpy pandas scipy
Last synced: 10 Mar 2025
https://github.com/ericchw/youth_discord_nlp_chatbot
A python AI chatbot with emotion detection model. Frontend using PHP, API using Flask and database using PostgreSQL. Collaborate with CyberYouth from SJS. @HKMU 2022-2023 FYP
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Last synced: 21 Jan 2026
https://github.com/the-developer-306/fake-review-detector
This project is a machine learning-based review classification system that predicts whether a product review is GENUINE or FAKE. It preprocesses review text, analyzes sentiment, and uses numerical features like ratings and helpfulness to make predictions. The model is deployed via a Flask web application for user interaction.
classification flask logistic-regression machine-learning numpy pandas python renderdeploy scikit-learn sentiment-analysis
Last synced: 12 Apr 2026
https://github.com/skywalkerSam/Python-101
Introduction to Python 3
bootcamp django flask jupyter-notebook matplotlib ml numpy pandas python-bootcamp python-development python-scripting python3 web-scraping
Last synced: 23 Apr 2025
https://github.com/chandkund/sentiment-analysis-using-nlp
This project focuses on Sentiment Analysis using the textual content from product reviews. The goal is to analyze user sentiments based on their written feedback, particularly focusing on the "reviewText" column in the dataset.
lemmatization matplotlib nlp nltk numpy pandas seaborn tokenization
Last synced: 31 Jan 2026
https://github.com/m-rishab/job-recruitment-prediction-and-hr-dashboard-using-plotly
This project features make it ideal for dynamic HR dashboards, offering insights into candidate profiles and recruitment processes.
correlation-analysis flask kmeans-clustering numpy pandas plotly python scikit-learn seaborn standardscaler
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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
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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/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/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/nilayhangarge/data-analysis-with-python
This repository provides a practical introduction to data acquisition and analysis using Pandas. It covers loading datasets, exploring data, manipulating data, and gaining insights through statistical summaries. Ideal for beginners, it offers code examples and explanations to enhance your data manipulation skills using Pandas for Python.
data-acquisition data-analysis data-analytics data-binning data-cleaning data-engineering data-fundamentals data-insights data-integration data-preprocessing data-science data-wrangling numpy pandas python
Last synced: 12 Apr 2026
https://github.com/d1ogocs/afinador-de-instrumentos
Desenvolvimento de um afinador que se ajusta automaticamente ao instrumento musical escolhido pelo utilizador
butterworth-filter instrument-tuner matplotlib numpy pyaudio python scipy threading tkinter
Last synced: 07 Jan 2026
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Last synced: 12 Apr 2026