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/hariprasath-v/machinehack-analytics-olympiad-2022
Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.
catboost-classifier exploratory-data-analysis logloss machinehack numpy optuna pandas python scikit-learn shap
Last synced: 18 Apr 2026
https://github.com/ricardorobledo/spamemailclassification
Spam email classification using machine learning (Random Forest, SVC, Logistic Regression, etc.) with data balancing techniques (SMOTE, BorderlineSMOTE, ADASYN). Final calibrated Random Forest model achieves ROC-AUC 0.982 and PR-AUC 0.979 on the Spam Email Classification dataset.
imbalanced-data imbalanced-learning numpy pandas python3 sklearn
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https://github.com/alezoon/movie-revenue-prediction
Sk-learn practice using Linear Regression, ML workflow practice.
jupyter machine-learning matplotlib-pyplot numpy pandas python scikit-learn
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https://github.com/annygutierrez/ann-prediction-template
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https://github.com/murugavl/flower-prediction
Flower Prediction is a machine learning project that uses the Iris dataset to classify iris flowers into three species: Setosa, Versicolor, and Virginica. The project includes data analysis, model training with various algorithms, and deployment via a Flask web application for user-friendly predictions.
flask machine-learning matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/stffns/snapvec
Fast compressed ANN search via randomized Hadamard transform + Lloyd-Max quantization. Pure NumPy.
ann embeddings hadamard numpy quantization rag vector-search
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https://github.com/iv4n-ga6l/titanic-survival-prediction
a predictive model in Python that answers the following question: “using data relating to passengers (name, age, gender, socio-economic class, etc.), who has the greatest chance to survive?"
matplotlib numpy pandas python seaborn sklearn
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https://github.com/nksmanya/virtual_canvas
A hand gesture-based drawing app that lets you create art in the air using hand movements
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https://github.com/rafagomezguillen/data-science-python
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data-science django-rest-framework matplotlib numpy pandas python seaborn webscraping
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https://github.com/manalisbhavsar/mall-customers-clustering
K-Means clustering to mall customer data, segmenting customers based on their annual income and spending score. To identify patterns and group customers for targeted marketing.
data-analysis data-visualization matplotlib numpy pandas python scikit-learn
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https://github.com/anmolbansal7/lost-and-found
Content-Based Image Retrieval
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https://github.com/jigyasag18/iit-guhawati-final-capstone-project
Smart Dynamic Parking Price Optimization System that adjusts parking fees in real-time based on demand, traffic, and competition. It employs adaptive pricing models and rerouting logic to enhance parking utilization and reduce congestion. The system is visualized via an interactive Streamlit dashboard, enabling users to simulate dynamic pricing.
bokeh bokeh-server bokehplots capstone-project data dataset deployment machine-learning machine-learning-algorithms matplotlib matplotlib-pyplot mlproject normalisation numpy pandas pathway python streamlit
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https://github.com/ben854719/nvidia---gen-ai-
The goal of the project is to analyze and predict with the use of AI for the revenue of Nvidia
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https://github.com/ricardorobledo/weldingdefectdetection
Welding Defect Detection
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https://github.com/nowon1/insurance-claim-prediction_version
This project aims to predict the insurance claim amounts based on various customer attributes using machine learning techniques. The project involves data preprocessing, exploratory data analysis, feature engineering, and model training and evaluation.
data-preprocessing data-science data-visualization exploratory-data-analysis feature-engineering insurance jupyter-notebook machine-learning numpy pandas predictive-modeling python random-forest regression-analysis scikit-learn
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https://github.com/kenatsf/basic_data_analysis
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analysis data data-analysis data-science logistic-regression matplotlib matplotlib-pyplot numpy pandas powerbi python scikit-learn time-series time-series-analysis time-series-forecasting
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https://github.com/ahmaruff/kmeans-img-compress
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https://github.com/ayu-ano/basic_object-detection
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https://github.com/matiassenia/galaxypy
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https://github.com/rahuls-1106/dataspark
DataSpark is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.
data-visualization jupyter-notebook matplotlib numpy pandas-dataframe powerbi python seaborn sql
Last synced: 18 Apr 2026
https://github.com/md-emranhossen/deep-learning-hub
Welcome to Deep Learning Playground, a personal repository for exploring and experimenting with deep learning concepts, architectures, and techniques. This repo serves as a hands-on space for implementing and understanding deep learning models, from fundamental neural networks to advanced architectures.
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https://github.com/autokmg/ai-foundations
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https://github.com/rhazra-003/modelinglab
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https://github.com/shortthirdman/distributedlagmodels
Distributed Lag Models in Dynamic Model Time Series
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https://github.com/aniket2021448/movie-recommender-system
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https://github.com/jcardonamde/reto_cobranzas_sector_financiero
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https://github.com/simonusher/multi-layer-perceptron
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https://github.com/mariacarolinass/programacao-linear
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https://github.com/vyjayanthipolapragada/data_analytics_medical_appointments
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This project analyzes 50k Bengaluru restaurants from Zomato, focusing on 17 features like location and ratings. It cleans, explores, and visualizes data to improve services. Key visualizations include delivery, booking, location, and cost. The goal is to provide insights for better customer experiences.
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https://github.com/mugambi645/eda-projects
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https://github.com/abdoufermat5/gps_statistiques
Calculs statistiques pour le cloud personnel
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https://github.com/ola-kaznowska/ai-python
Artificial Neural Networks in Python
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https://github.com/gemmus/tictactoe-ai
Built with minimax algorithm, using pygame.
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https://github.com/vyjayanthipolapragada/car_mileage_prediction
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https://github.com/paulo-santos-ds/previsao_preco_carros
O objetivo é realizar predições em um aplicativo de vendas de carros. A qualidade e velocidade de predições é crucial para o negócio. O projeto utiliza dados históricos, especificações técnicas, versões de acabamento e preços.
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https://github.com/saurabh9136/data-analysis_using_pandas-numpy
A beginner-friendly repository exploring data analysis using NumPy and Pandas. Covers fundamental operations, data manipulation, and real-world dataset analysis.
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https://github.com/s1dewalker/portfolio_analysis
MPT in Python | Efficient Frontier modeling, Fama French 3 Factor Analysis, Monte Carlo Simulations and Portfolio Risk Analysis (Sharpe, VaR)
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https://github.com/prithvikings/zomato_data_anaysis
This analysis provides insights into customer preferences and restaurant performance on Zomato. The visualizations and findings can help Zomato make informed decisions to improve customer experience and tailor their offerings.
matplotlib numpy pandas python seaborn
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https://github.com/jbalooshie/school_district_analysis
Analysis of standardized testing results using NumPy and Pandas, executed in Jupyter Notebook. Summaries of the testing results are provided based on school, test type, and grade level.
data-analysis data-science dataframes jupyter-notebook numpy pandas python
Last synced: 20 Apr 2026
https://github.com/vtorres09/projetomonitoriaip
📋 Data analysis of a dataset created to select students to be teacher assistant (Introduction to Programming).
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https://github.com/muhammadmoeezkhan/euclidean-distances
Python Program That Calculates Euclidean Distances Via 5 Algorithms
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https://github.com/mkhekare/bikesharing_ml
Provides insights into the bike sharing trends based on various factors such as time of day, season, and weather. The findings can be used to improve bike sharing services and understand user behavior.
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https://github.com/byrongomezjr/traffic_sign_detection
Deep learning system to detect stop signs and traffic lights using Keras' image recognition capabilities
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https://github.com/marknature/codealpha-internship_python-programming
Python Programming Internship at CodeAlpha from 1st June 2025 to 30th June 2025
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https://github.com/girishkolhe/lendingclubcasestudy
data-science data-visualization eda matplotlib numpy pandas-dataframe python seaborn
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https://github.com/prashhhant213/data_analysis_and_visualization-_for_streaming_platform
Data Analysis and Visualization for streaming platform to provide insights and recommendations to improve their userbase.
colab-notebook data datavisualization matplotlib numpy pandas python seaborn
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https://github.com/zombietdv/n_gram-model
n_gram model implementation with numpy only
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https://github.com/agoose77/midas-tape
An Awkward-Forth backed reader of MIDAS tape files
awkward-array awkward-forth hep midas numpy tape
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https://github.com/souvikmajumder26/neural-network-from-scratch
🚀 Building a simple Neural Network to classify the images of the Fashion-MNIST dataset, using only numpy and no TensorFlow, Keras, or PyTorch.
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Last synced: 21 Apr 2026
https://github.com/oanderoficial/plant-health-check
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https://github.com/aleklukanen/systemsofsprings
This repository contains a few helpful pieces of Python code that can be used to compute time dependent positions of springs in 2 and 3 dimensions.
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Last synced: 21 Apr 2026
https://github.com/amaldevh/py-method-profiler
Profile Python methods without changing your code
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https://github.com/star2dust/numpy-notes
A tutorial to learn numpy and matplotlib.
Last synced: 16 Jun 2026
https://github.com/refraction-ray/numkl
A thin cython/python wrapper on some routines from Intel MKL
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https://github.com/sazzadul-eanan/basic_numpy_learning
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https://github.com/prince-gh/numpy
Learn Numpy step by step
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https://github.com/abhinav330/iris-dataset-classic-ml-problem
This repository demonstrates the classification of Iris flowers into three species (Setosa, Versicolor, Virginica) using a Support Vector Machine (SVM) classifier.
classification data-science iris-dataset jupyter machine-learning numpy pandas python sklearn support-vector-machines svm-classifier
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https://github.com/dataspieler12345/user_journey_analysis_project
User Journey Analysis in Python Project Create your own functions and tools to analyze user journey strings in Python.
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https://github.com/sciguymjm/introtomlmidterm2
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https://github.com/haranrk/linear-regression
Implemented Linear Regression and some of it's variants
machine-learning matplotlib numpy python python3
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https://github.com/redinfinitypro/pygamecicruit
Rating: (6/10) The code combines a Pygame GUI application with a PySpice circuit simulation, providing a user-friendly interface with buttons, menu options, dropdown menus, input boxes, sliders, and text elements.
matplotlib numpy os pygame pyspice random sys
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https://github.com/nightmachinery/mlp_from_scratch
A simple MLP using only numpy. The computational graph is not automatically tracked, but the network supports arbitrarily many batch axes.
deep-learning deep-neural-networks deeplearning educational mlp mlp-classifier mlp-networks numpy
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https://github.com/mattjudge/numpy_caching
Provides a method to cache the results from functions (typically numpy-based) in persistent storage
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https://github.com/jagkagd/np-xarr
Perform a numpy array transformation intuitively by giving simple patterns.
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https://github.com/davewhit3/bill-detector
Bill detection. Usage OCR algorithm to read content
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https://github.com/pedroteixeiraw/predicting_football_match_results
This project focuses on modelling the attacking and defensive strength of teams in the Portuguese First League of Football, along with the impact of home advantage.
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https://github.com/abhisingam/brickbreaker
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https://github.com/m-k-l-s/sudoku
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https://github.com/hinanohart/dostosim
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Machine Learning Libraries Repository
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https://github.com/varun-khorgade/salesense-e-commerce-analytics
Analyzed e-commerce datasets to discover customer behavior trends and business insights. Performed EDA, data cleaning, and visualizations to help stakeholders make data-driven decisions.
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