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: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/moeeinaali/fop2023-python-project-sut
Fundamental of Python Programming - Fall 2023 - Instructor: Mr. Malekzadeh
data-science fundamentals-of-programming matplotlib numpy pandas python
Last synced: 18 Jul 2025
https://github.com/estaheri7/beijing-housing-analysis
Analyzes housing data from Beijing city
jupyter-notebook matplotlib-pyplot numpy pandas python3 searborn
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https://github.com/gaurav9364/credit-card-fraud-detection
Credit Card Fraud Detection using Machine Learning – A classification project that detects fraudulent credit card transactions using supervised learning, with data preprocessing, handling class imbalance, and model evaluation (ROC-AUC, Precision, Recall, F1-score).
googlecolab imbalanced-learn matplotlib numpy pandas python scikit-learn seaborn xgboost
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https://github.com/yukti-09/linear-regression
A small code for understanding linear regression.
linear-regression matplotlib mean-squared-error numpy
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https://github.com/vidhi1290/essay-quality-prediction-keystroke-analysis-with-randomforest
Explore the Essay Quality Prediction project—a machine learning model that predicts essay quality based on typing behaviors. Leveraging a Random Forest Regressor, this tool provides insights into writing processes. Connect with me on LinkedIn and find more projects on GitHub. Happy coding! 📝✨
essay-quality-prediction kaggle-competition machine-learning mean-square-error nlp-machine-learning numpy pandas random-forest random-forest-regressor scikitlearn-machine-learning seaborn sklearn
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Genetic algorithm to iteratively generate an image resembling an original image
genetic-algorithm numpy photography pillow-library python
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data-preprocessing feature-engineering machine-learning matplotlib model-deployment numpy pandas pipeline python scikit-learn seaborn streamlit-web-application tensorflow xgboost
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https://github.com/aaa1928/iris-ml-classifier
PyTorch model that classifies Iris species based on characteristics about the length and width of sepals and petals.
deep-learning iris-classification iris-dataset machine-learning neural-network numpy pandas python pytorch scikit-learn
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https://github.com/aryehky/ml-theory-to-implementation
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csv machine-learning matplotlib numpy pandas python sckiit-learn seaborn sklearn udacity udacity-nanodegree
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https://github.com/mramshaw/ml_with_missing_data
How to handle missing or incomplete data
incomplete-data machine-learning matplotlib ml numpy pandas python python3 scikit-learn seaborn sklearn
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https://github.com/ahmednurabdii/data-analytics-portfolio-superstore
My first portfolio project showcasing data cleaning, analysis, and visualization of Superstore sales data.
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https://github.com/nirmalyabag20/book-recommended-system
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ai datamanipulation ml numpy opencv python
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data-visualization matplotlib-pyplot numpy python3 sklearn
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https://github.com/nafisalawalidris/tools-for-data-science
It covers popular languages (Python, R, SQL) and libraries (NumPy, Pandas) used in the field. The author shares their objectives of teaching data analysis, web development, and critical thinking skills. The repository also includes code examples, explanations of arithmetic expressions, and contact information for the author.
arithmetic-expressions data-analysis data-science data-visualization languages libraries matplotlib numpy pandas programming python r sql tools web-development
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api data-visualization database django finance-management jwt-authentication machine-learning mathplotlib numpy pandas react responsive-design restful-api
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https://github.com/enjirouz/intelligentsystems
Expert systems examples: production type expert systems with direct and reverse logical conclusion; numpy perceptron; numpy neural network trained on logic AND operation; convolutional neural network for image recognition using cifar10 dataset and keras
cifar10 classification cnn convolutional-neural-network expert-systems image-classification image-recognition keras-tensorflow numpy
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Katz centrality of a wheelgraph
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Fast implementation of unique elements in an array - up to 30x faster than NumPy
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This repository comprises my math modelling-based projects covering topics of Linear Algebra, Probability and Statistics.
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https://github.com/solrikk/optichrom
This repository provides a collection of Python tools and applications for comparing images using various algorithms such as ORB (Oriented FAST and Rotated BRIEF) and SSIM (Structural Similarity Index). The tools include both command-line scripts and graphical user interface (GUI) applications for ease of use
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A data analysis project using Python to study climate patterns and genocide-related datasets from Gaza and the West Bank.
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A neural network implemented in python.
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https://github.com/erenokur/machine-learning-playground
Experiment with machine learning and AI algorithms, write guides, and documents.
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https://github.com/sun-data/ndfilters
Numba-accelerated, n-dimensional image filters.
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https://github.com/imswappy/brain-tumor-detection
🧠 Deep learning project for brain tumor classification using MRI images. Built with transfer learning (VGG16 + fine-tuning), TensorFlow/Keras, and deployed via Streamlit. Dataset & model loaded dynamically from KaggleHub. Includes training notebook, evaluation, and interactive web app.
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https://github.com/vijayjoshi16/credit-card-fraud-detection-using-ml-in-python
Credit Card Fraud Detection Using ML in Python
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https://github.com/quentinwidlocher/cours-python-pandas
Jupyter Lab sur le traitement des données en python
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https://github.com/hamdaniqhmqd/sistem-cerdas
I use this repository for my storage, especially in the intelligent systems course in semester 3
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https://github.com/codehass/facial-emotional-detection
Implement a complete AI pipeline in Computer Vision, from face detection to emotion classification using CNNs (TensorFlow/Keras) and Haar Cascades (OpenCV), and integrate this model into a FastAPI API connected to a PostgreSQL database.
cnn-model fastapi keras mathplotlib numpy opencv postgresql pydantic pytest sqlalchemy tensorflow
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https://github.com/lasithaamarasinghe/movie-recommender-system
This ML model recommends movies that may align with the user's preferences based on TF-IDF matrix.
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https://github.com/programmer-rd-ai/dimensionality-reduction
DimRed is a comprehensive Python toolkit for advanced dimensionality reduction, integrating with major machine learning libraries and featuring real-time performance monitoring to enhance data analysis and model efficiency.
analytics data-analysis data-science lightgbm machine-learning matplotlib numpy pandas programming python python3 sklearn university xgboost
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https://github.com/21aja/house_price_prediction_revised_project
House price prediction using ML with Decision Tree Regressor achieving 100% accuracy. Preprocessing, EDA, and model evaluation applied using Python, Pandas, NumPy, Scikit-learn, and XGBoost for data-driven insights.
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https://github.com/luluw8071/neural-network-from-scratch-using-numpy
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https://github.com/linggarm/smart-caloriemax
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artificial-intelligence css evolutionary-algorithms flask genetic-algorithms html javascript knapsack-problem machine-learning numpy python
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https://github.com/ahmed-hassan-ai/nlp-sentiment-analysis
Sentiment Analysis
dropout keras lstm matplotlib numpy pandas regularization seaborn
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https://github.com/clayrisser/math-playground
Personal math playground
graph math matplotlib numpy playground python
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https://github.com/iv4n-ga6l/openpose-prediction
Person's body parts or joint position detection using openCV
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https://github.com/uni-creator/handwritten_number_recognition_system
A Handwritten Number Recognition System built from scratch using Deep Learning from Scratch. The model is trained on digit images and can classify handwritten numbers with high accuracy.
computer-vision deep-learning handwritten-digit-recognition image-processing implementation-from-scratch minst nueral-networks numpy pandas pytorch
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https://github.com/carmoreno/analisisaccidentalidadbogota
Data Analysis about traffic accidents at Bogotá, Colombia.
data-analysis data-science jupyer-notebook matplotlib numpy pandas scikit-learn
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https://github.com/esvs2202/credit-card-fraud-detection-system
This fraud detection system is powered by a Machine Learning model, which accurately identifies whether an initiated transaction is fraudulent.
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https://github.com/dhruvv1402/ai-based-realtime-hand-detection-using-opencv-and-mediapipe
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mediapipe numpy opencv os python python3 time
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https://github.com/satyanaryana-merla/financial-analysis-in-loan-analytics
sample datasets containing information about several loans, including details such as loan amount, interest rate, term duration, and other key characteristics. For this project, we need you to calculate a cash flow amortization schedule for each loan,
amortization amortization-schedule bank numpy pandas python
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https://github.com/rara-ch/data-analysis-portfolio
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data-analysis mathematics matplotlib numpy pandas portfolio probability python seaborn sql statistics
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https://github.com/gallo13/neuralnetworks-deeplearning-stats-classification
Descriptive Statistics, Classification and Analysis Using Python & Python Libraries (Assignment 1)
analysis data datasets deep-learning jupyter-notebook matplotlib neural-networks numpy pandas plotting python seaborn
Last synced: 17 Apr 2026
https://github.com/rishraks/color-object-detection
This project enables real-time detection of user-defined color objects using a webcam. Users enter a color name, and the program identifies objects matching that color by converting it to its HSV range, applying a mask, and detecting contours. It's a practical tool for object tracking, sorting, and interactive applications.
computer-vision numpy opencv pillow-library
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https://github.com/ngirimana/ml_knn
Welcome to the KNN Project! This will be a simple project very similar to the lecture, except you'll be given another data set. Go ahead and just follow the directions below.
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https://github.com/arufonsekun/computer-vision
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computer-vision numpy opencv python3
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https://github.com/mansurpro/digitrecognizer
DigitRecognizer is a simple, handcrafted neural network implemented with NumPy to classify handwritten digits from the MNIST dataset. This project demonstrates the foundational principles of neural networks, including forward propagation, backpropagation, and gradient descent, all built from scratch without relying on deep learning frameworks.
backpropagation custom-dataset data-visualization deep-learning from-scratch gradient-descent handwritten-digit-recognition machine-learning minimal-dependencies mnist neural-network numpy python
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https://github.com/juanpablo70/pgad-exam
Midterm Exam Titanic data set
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https://github.com/mchenryspagg/prosper-loan-project
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https://github.com/camilajaviera91/clustering-first-approach
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array cluster clustering dictionaries matplotlib numpy pandas python
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classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier
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https://github.com/imswappy/ads-eda-predictor
Interactive Streamlit app for marketing campaign analytics and prediction. Includes dashboards, EDA, econometrics tests (ADF, cointegration, OLS diagnostics), ML pipelines with preprocessing, CV, and persistence. Predict outcomes with Linear/Ridge/Lasso/Random Forest regressors.
adf breusch-pagan cointegration lasso-regression linear-regression matplotlib-pyplot numpy pandas random-forest ridge-regression seaborn sklearn
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https://github.com/shahinuralambhuiyan/learning-ml
Start learning Machine Learning basic from CodeBasics Channel
anaconda jupyter-notebook kaggle-dataset matplotlib numpy pandas pip python
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https://github.com/anish202020/weather_prediction_model_21int68_internship
Predicts weather using data analysis and machine learning neural networks. The project reads data from a CSV file, processes it, trains a neural network, and visualizes the results.
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https://github.com/miroslav-reiter/kurz_ako_sa_stat_datovym_analytikom_python
🐍 Ako sa stať Dátovým ANALYTIKom v Pythone - Materiály, zdroje, skripty k večernému online školeniu Ako sa stať Dátovým Analytikom v Pythone pre Robime.it (Mentor Partners)
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Last synced: 04 Apr 2026
https://github.com/varun-khorgade/churnshield-customer-retention-predictor
Built an ML-based classification model to predict customer churn. Applied data preprocessing, feature engineering, and ensemble algorithms to improve prediction accuracy and help businesses implement retention strategies.
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https://github.com/gracysapra/pandas-numpy-data-visualisation
This repository contains essential Python scripts and notebooks for data analysis and visualization. It includes: pandas: Data manipulation and analysis, including operations on series and dataframes. NumPy: Efficient numerical computations and array processing. Data Visualization: Creating insightful visualizations using Matplotlib and Seaborn.
data-science data-visualization matplotlib numpy numpy-arrays pandas pandas-dataframe pandas-series seaborn
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https://github.com/avs123a/image-color-spaces-morphology-demo
Simple demo that shows extracting RGB and HSV channels, converting from RGB to HSV and reverse converting. There are 4 main morphological operations used: erosion, diletion, opening and closing image
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https://github.com/hossein-cod/deep-learning-for-training
Analysi hear disease data set with deep learning
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https://github.com/datarohit/date-fruit-classification
This is Date Fruit Data taken from Kaggle. This data severs a classification problem to solved. Using various features of the fruit classify the fruit to its type.
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https://github.com/prashver/stock-price-prediction-lstm
Using Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM), this project predicts Nestle India stock prices. The dataset spans from May 18, 2018 to May 20, 2022, and results are visualized using matplotlib.
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https://github.com/abhijeet107/electric-vehicle-sales-by-state-in-india
This project analyzes EV sales data across Indian states, focusing on sales distribution by vehicle type, category, and region.
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https://github.com/soumya6tiwari/customer-segmentation-using-rfm-analysis
This project focuses on customer segmentation using RFM (Recency, Frequency, Monetary) analysis and K-Means clustering. It enables businesses to identify high-value customers, optimize marketing strategies, and improve customer retention through data-driven insights.
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Last synced: 16 Feb 2026
https://github.com/mdaffailhami/data_science_speedrun_journey
This repository contains notebooks and projects related to my data science speedrun journey.
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Last synced: 05 Apr 2026
https://github.com/jeelmakani/wind-energy-forecasting
Wind energy Forecasting using Time series forecasting
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Data Analysis using Python libraries
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https://github.com/mardavsj/numpy-in-python
The fundamentals of Python NumPy Library.
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https://github.com/en10/bostonhousing
Boston Housing Dataset Example
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Last synced: 12 Apr 2026
https://github.com/venky-1710/stress-level-predection
Stress Level Prediction is a web app using machine learning to estimate user stress levels. It takes inputs like anxiety, sleep quality, and academic performance, then predicts stress using a Decision Tree Classifier. Built with Python, Flask, and scikit-learn, it's useful for students, researchers, and those interested in stress management.
css flask html machine-learning numpy pandas python python-sklearn scikit-learn
Last synced: 05 Apr 2026
https://github.com/assamirzafar/learning
My Roadmaps and challenges are in this repo...I will add my colab and kaggle notebook links along with py script files in here.
calculus convolutional-neural-networks deep-learning deep-neural-networks keras linear-algebra machine-learning numpy opencv probability python3 pytorch scikit-learn scipy statistics
Last synced: 05 Apr 2026
https://github.com/rhazra-003/fake_news_detector
A Machine Learning model to detect fake news with more than 95% accuracy
fake-news numpy pandas scikit-learn
Last synced: 18 Apr 2026