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/dhruvv1402/document-scanner-python-opencv
Transform smartphone photos into scanned documents in seconds! This Python-based document scanner automatically detects edges, corrects perspective, and enhances document images to produce clean, scanner-like results.
canny-edge-detection contour-detection imutils numpy opencv python scikitlearn-machine-learning warpperspective
Last synced: 15 Apr 2026
https://github.com/tsar123/neutral-single-nucleotide-polymorphisms-analysis
analysis of data on neutral single nucleotide polymorphisms
dna-polymorphism matplotlib numpy pandas seaborn snv
Last synced: 01 Feb 2026
https://github.com/danish-jamil-01/kidney-tumor-detection
Demonstrating how changes in input image resolution affect the algorithm's output
disease-prediction imbalanced-learn ipynb-jupyter-notebook jupiter-notebook kidney-disease-prediction matplotlib matplotlib-figures matplotlib-pyplot numpy numpy-python opencv opencv-python pandas pandas-python pathlib python scikit-image seaborn seaborn-python tensorflow
Last synced: 01 Feb 2026
https://github.com/nits2612/data-science-projects
Portfolio of data science projects completed by me during PGP AI/ML, self learning, and hobby purposes.
data data-science dataanalysis deep deep-learning keras machine-learning matplotlib numpy opencv pandas python scikit-learn seaborn surprise-python tensorflow transfer-learning
Last synced: 01 Feb 2026
https://github.com/tanzim-prog/sentiment_analysis_ml_stringdata
The motive of this project is to find out the customer satisfaction of some residential hotels of Dhaka.
accuracy-score classification confusion-matrix f1-score logistic-regression machine-learning model-evaluation modelbuilding nlp nltk numpy pandas precision-score recall-score scikit-learn sentiment-analysis
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https://github.com/luizabash/wmap-tt-eda
EDA of the WMAP 5-Year TT Power Spectrum data, the analysis includes summary statistics, data visualization, polynomial regression for model fitting, and hypothesis testing
astrophysics matplotlib numpy pandas scipy
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https://github.com/rissh/titanicsurvivalpredictionusingml
Predicting Titanic passenger survival through machine learning. This project includes data preprocessing, exploratory data analysis, feature engineering, and model training using Python. ๐ข
data data-analysis data-science data-visualization dataanalysis jupiter-notebook machine-learning machine-learning-algorithms machinelearning matplotlib numpy pandas prediction prediction-model python python3 seaborn tenserflow tflearn titanic
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https://github.com/hasanyahya101/pareto-tutorial-python
This tutorial demonstrates how to create Pareto charts using Python libraries like pandas, NumPy, and Matplotlib. All code for this is given in the Jupyter Notebook.
chart charts code-blocks ipynb jupyter-notebook license markdown matplotlib mit numpy pandas pareto py python
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https://github.com/saumyajeet-varma/braintumor-ml-integrated-webapp
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https://github.com/sarowarahmed/advertising-sales-app
๐ Advertising Sales Predictor: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to forecast sales based on TV, Newspaper, and Online Advertising. Deployed on Streamlit Cloud for real-time, easy-to-use predictions.
advertising app machine-learning multiple-linear-regression numpy pandas sales scikit-learn streamlit
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https://github.com/davityak03/english-audio-to-hindi-text-using-pretrained-model
The primary goal of this project is to transcribe English audio and then translate the transcribed text into Hindi.
adam-weight-decay css flask html nlp numpy python tensorflow tokenizer transformers translation
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https://github.com/vladimiracunadev-create/python-data-science-program
Python Data Science Program โ 197 clases en 9 partes. Pauta avanzada derivada de Gรฉron, VanderPlas, Huyen, ISLP y Barocas/Hardt/Narayanan. Recurso personal de aprendizaje, enseรฑanza y mejora continua.
bootcamp data-analysis data-science education jupyter machine-learning matplotlib numpy pandas python scikit-learn
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Text Classification with Bag of Words - Natural Language Processing
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https://github.com/r-papso/pynet
Deep learning library implemented in Python
deep-learning machine-learning neural-network numpy python
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https://github.com/mdaltamashalam/uber-fare-prediction-models
Predicts the fare amount of Uber rides based on various factors such as pickup/drop-off coordinates, passenger count, and trip distance.
catboost data-analysis data-cleaning data-visualization lgbm-regressor machine-learning matplotlib numpy pandas python random-forest regression-models skit-learn xgboost-algorithm
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https://github.com/coueghlani/nlp
Proyecto de Procesamiento de Lenguaje Natural y Anรกlisis de Datos
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https://github.com/smahala02/materials-science-introduction
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https://github.com/rampal-punia/data-science-toolkit
Your Go-To Resource for Essential Data Science Related Commands, Concepts, Quick Overviews and Useful Functions.
artificial-intelligence data-science keras machine-learning matplotlib nlp nlp-machine-learning numpy pandas pythorch sql tensorflow
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https://github.com/codealphaprojects/spotify-music-recommender
CodeAlpha Machine Learning Task-1
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This is Mobile Based Spectrometer
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This repository showcases my work from the TATA GenAI Powered Data Analytics Virtual Experience on Forage, where I applied data cleaning, analysis, and visualization techniques to derive actionable business insights.
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This repository contains a Python program that simulates the spread of COVID-19 using Numpy and Matplotlib for calculations and visualization. The simulation offers an interactive way to understand virus dynamics and the impact of epidemiological parameters.
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https://github.com/mariam-zaidi/bike-sharing-prediction-model
Build a multiple linear regression model for the prediction of demand for shared bikes.
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Statistical tools help you clean and organize your data. You can identify outliers, manage missing values, and ensure your data is in a format that the ML algorithms can understand.
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https://github.com/anuraganalog/random-test-case-generator
Generate Random Test Cases
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https://github.com/mindkerchief/baselineml
A collection of machine learning task performed during my studies in computer science major in intelligent system.
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https://github.com/mustafaozvardar/image-classification-webapp
This project features an AI model for diagnosing pneumonia from chest X-ray images. Users can upload a chest X-ray image through the app, and the model will classify it.
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https://github.com/ankit21111/carpredict
This project predicts car prices using machine learning models, including Simple and Multiple Linear Regression. It covers data acquisition, feature selection, and optimization techniques like Ridge Regression. The best model, Multiple Linear Regression, achieved an Rยฒ score of 0.84. Check out the full analysis in the repository!
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https://github.com/tzepart/choosing-oil-region
Choosing and initialisation a machine learning model that will help determine the region where production will bring the greatest profit with the least risk of loss.
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https://github.com/rahulsm20/storedata
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https://github.com/haimgoldfisher/data_sience_intro_final_project
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bayes classification decision-trees diamond kaggle knn-classification linear-regression logistic-regression numpy pandas regression scikitlearn-machine-learning sklearn wine
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https://github.com/arserchung/ml_cnn
Basis CNN intro& project of recognize to cat or dog
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https://github.com/lexxai/goit_python_ds_hw_09
ะะพะดัะปั 9. ะัะดะฑัั ะณัะฟะตัะฟะฐัะฐะผะตัััะฒ ะะ. ะะปะธะฑะพะบะต ะฝะฐะฒัะฐะฝะฝั. Tensorflow. Keras.
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It consist of 3 major project 1:Covid19 Analysis 2:Rainfall Prediction 3:Tumor Detection
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https://github.com/codersales/machine-learning-project
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machine learning jupyter notebooks | data-science | priority | relevant | significant | green-light | 1 | may-2023-filtered | may-2023-filtered-2 | may-2023-filtered-3 | filtered-4 | frequent
authorized classification current decision-tree ensemble-techniques jupyter machine-learning more-than-100-commits more-than-300-commits numpy pandas python3 ranked repository-5 seaborn sklearn stacking sub-critical supervised-learning workstation
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https://github.com/limix/ndarray-listener
Implementation of the Observer pattern for NumPy arrays.
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https://github.com/kavayk29/speech-recognition-using-tdnn-and-data-augmentation
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deep-learning keras-tensorflow numpy os pandas tdnn tensorflow
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https://github.com/killervardhan8/gesturedecode
The Sign Language Interpretation project focuses on recognizing and interpreting hand gestures to facilitate communication for individuals who use sign language. This project leverages computer vision and machine learning techniques to accurately identify and translate hand signs into text
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https://github.com/awaisfraaz/python-libraries
Hereโs a repository description for a project where youA repository dedicated to exploring and experimenting with Pythonโs main libraries, featuring sample code, documentation, and practical examples for learning and reference.
matplotlib numpy pandas python seaborn
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https://github.com/shwetapardhi/assignment-2-set1-q1-basic-statistic-level-2
Plot the data, find the outliers and find out ฮผ,ฯ,ฯ^2
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Repositorio com Estudos sobre Algebra Linear.
linalg linear-algebra matplotlib-pyplot matrix numpy python scipy
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https://github.com/ksasi/smartcab
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https://github.com/williyam-m/movie_booking_app
A Django-based movie booking app featuring an admin dashboard with CRUD functionality for movies, theatres, screens, shows, and bookings. Includes an ML-powered movie recommendation system.
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https://github.com/eljandoubi/predict-customer-churn-with-clean-code
Clean Code Principles
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https://github.com/hygull/trypandas
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matplotlib numpy pandas python3
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https://github.com/reshmaaiman/liver-patient-prediction
Liver Disease Prediction
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Last synced: 16 Apr 2026
https://github.com/aadityasikder/neural-network-from-scratch-
This notebook demonstrates a neural network implementation using NumPy, without TensorFlow or PyTorch. Trained on the MNIST dataset, it features an architecture with input layer (784 neurons), two hidden layers (132 and 40 neurons), and an output layer (10 neurons) with sigmoid activation.
backward-propagation evaluation forward-propagation mnist-dataset neural-network neural-networks-from-scratch numpy training
Last synced: 16 Apr 2026
https://github.com/magnusrodseth/disaster-tweets
๐ Assignments in the course IT3212 - Data Driven Software at NTNU. Our task is to classify whether a tweet is related to a disaster or not.
adaboost jupyter-notebook logistic-regression numpy pandas python python3 random-forest support-vector-machines xgboost
Last synced: 16 Apr 2026
https://github.com/ashwin331133/liver_disease_detection
This dataset consists of 416 liver patient records and 167 non-liver patient records collected from North East of Andhra Pradesh, India. And The main objective of this project is to use classification algorithms to detect liver patients from healthy individuals.
data-visualization machine-learning numpy pandas python
Last synced: 16 Apr 2026
https://github.com/abideen-olawuwo/predictive-maintenance
A predictive maintainance model
decision-trees ipython matplotlib numpy pandas plotly python random-forest seaborn sklearn smote
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https://github.com/khaymanii/calories-burnt-prediction-model
This model was built using Python and XGBoost Regression algorithm
matplotlib numpy pandas python scikit-learn
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https://github.com/asadiahmad/image-enhancement
Image Enhancement with OpenCV Numpy and MatPlotLib
gamma-correction image-enhancement image-processing matplotlib numpy opencv python roi-selection
Last synced: 16 Apr 2026
https://github.com/abhishekpsonawane07/loan-repayment-prediction-ml
Loan Approval Prediction uses machine learning to analyze factors like income and credit history, automating and improving the loan approval process. The project ensures accurate, efficient, and user-friendly predictions with a Gradio interface.
artificial-neural-networks confusion-matrix decision-trees gradio-interface k-nearest-neighbours loan-dataset loan-prediction-analysis loan-repayment logistic-regression numpy pandas python random-forest sckiit-learn seaborn support-vector-machines
Last synced: 16 Apr 2026
https://github.com/dina-hosny/investigate-a-dataset-project
Investigate a Dataset project - Udacity Data Analysis Professional Track. In this project, I used the Python libraries NumPy, Pandas and Matplotlib to analyze a dataset and communicate my findings about it.
csv data-analysis jupyter-notebook matplotlib numpy pandas python
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https://github.com/pedasoft-consult/customer_analytics_fmcg
Customer Analytics in FMCG Industry
k-means-clustering matplotlib numpy pandas python seaborn
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https://github.com/iankitnegi/python_projects
Data Analyst Toolkit: A comprehensive collection of Python scripts and notebooks designed for data analysis tasks. Features data cleaning, visualization, statistical analysis, and machine learning models. Ideal for analysts seeking efficient, reproducible workflows.
matplotlib numpy pandas python seaborn
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https://github.com/mugambi645/exploring-ebay-car-sales-data
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car-sales data-analysis numpy pandas
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https://github.com/sahiltiwariiii/dssp
Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc
docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit
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https://github.com/samalyarov/practicum_projects
Various data analysis projects displaying tools and instruments that I am proficient with
data-analysis datetime folium geojson matplotlib numpy pandas plotly postgresql powerpoint python regular-expressions requests-library-python scipy seaborn sql sqlalchemy tableau tqdm
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https://github.com/leftcoastnerdgirl/supervised_learning
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๐ต Spotify Songs Analysis using Pandas
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https://github.com/laurencewarne/eratosthenes
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https://github.com/bishopce16/school_district_analysis
The school board requested an analysis on the various performance metrics for the school district.
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https://github.com/dellano54/extreme-matmul
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https://github.com/jay6430/python-for-data-science
This Repository includes all the Python concepts that are necessary for Data science.
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https://github.com/eckelsjd/copier-numpy
Template for a numpy-based scientific computing Python package.
copier-template numpy pdm python
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https://github.com/supershivam5/python_projects
๐ป Python programming with Numpy, Pandas, Matplotlib.๐ Love exploring new technologies. Check out my projects!
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https://github.com/sundanc/besthousefinder
A Streamlit web application that helps users find the best house based on their preferences.
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https://github.com/priyanshul28/ml_eda_regression_energyconsumptionforecasting
An EDA and Machine Learning Time-Series Regression Forecasting exercise on the PMJE Energy Consumption dataset demonstrating time-series analysis and the use of Time-Series Split, XGBoost, etc. The model is optimized using hyperparameter tuning through GridSearchCV. A Rob Mulla guided exercise.
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Last synced: 17 Apr 2026
https://github.com/lingumd/credit_risk_analysis
Machine learning models for predicting credit risk in LendingClub dataset.
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https://github.com/gautam-cs/data_science
In this project, I was trying to get most of the relevent information of the data using library like numpy, pandas. I have worked on data like aadhar data, Olympics data
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https://github.com/mohamed15058/-credit-card-fraud-detection
Credit-Card-Fraud-Detection
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https://github.com/fyt3rp4til/anomaly-detection
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https://github.com/shashwat9kumar/us-accidents-data-analysis
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https://github.com/vaishnavis03/finlatics_ml_program
This repository contains the .ipynb files for 3 datasets, along with a PPT for each. The datasets included are Facebook Marketplace Data, Sales Prediction Data, and Wine Quality data.
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https://github.com/gauravtrivedi967/lane_detection
Lane detection and tracking are the advanced key features of the advanced driver assistance system. Lane detection is the process of detecting white lines on the roads. In this we I have used prebuild models for the development of the code
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https://github.com/radinshahdaei/ce40215-nc
Theoretical and practical assignments for "Numerical Computation".
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https://github.com/kheriberto/knn_project
This is a simple project that uses dummie data to practice and demonstrate my knowledge of the KNN algorithm.
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Last synced: 02 Apr 2026
https://github.com/esraamhmd/intelligent-skin-cancer-image-based-detection-models
This project combines traditional machine learning approaches with advanced deep learning techniques to assist healthcare professionals in early diagnosis and improve patient outcomes.
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Last synced: 02 Apr 2026