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/diegobda/jogo-de-damas-controlado-por-gestos
Jogo de Damas controlado por gestos
jogo-de-damas mediapipe numpy opencv python3 script visao-computacional
Last synced: 08 Sep 2025
https://github.com/ryan-bendelson/2024-summer-research
This is Python code that I worked with during my summer 2024 research project involving quantum physics.
density-matrices kronecker-product linear-algebra miniconda3 numpy numpy-arrays partial-trace python quantum-information
Last synced: 16 Apr 2026
https://github.com/szymon-budziak/fundamentals_of_deep_learning
Fundamentals of Deep Learning NVIDIA course.
deep-learning machine-learning numpy nvidia pandas python tensorflow
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https://github.com/sahil210695/gradient-descent
A simplified explanation of gradient descent for linear regression in python using numpy
gradient-descent gradient-descent-algorithm linear-regression matplotlib mini-batch-gradient-descent numpy python stochastic-gradient-descent
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https://github.com/heyitsjoealongi/fantasy-football-qbwr-model
Fantasy Football: Quarterback / Wide Receiver - Gaussian Process Regression (GPR) Machine Learning Model
machine-learning matplotlib model numpy python scikit-learn
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https://github.com/khaymanii/spam_mail_detection_model
This model was built using Python and Logistics Regression algorithm
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https://github.com/anubhavkumar31/simple-heart_disease_prediction-using-logisticregression
Its a simple yet good model which predicts if a person have heart disease or not. This is a binary classification model i.e its output is either 0(dont have heart disease) or 1 (have heart disease).
logistic-regression machine-learning numpy python sklearn sklearn-linear-model sklearn-metrics
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https://github.com/anuuragg/numpyneuralnet
machine-learning matplotlib neural-network numpy pandas
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Exploratory Data Analysis of an online retail store
data-analysis data-visualization matplotlib numpy pandas python3
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https://github.com/babagata/racunalna_fizika
Math and physics solved with python
matplotlib numpy random scipy sympy
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https://github.com/doonse/ml-handwritten
Neural Network which recognize numbers from images of size 8x8. Done using NumPy.
handwritten-digit-recognition machine-learning-algorithms neural-network numpy
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https://github.com/azaz9026/loan_approval_prediction
Welcome to the Loan Approval Prediction repository! This project aims to build a predictive model that can determine whether a loan application should be approved or denied based on various features. Purpose The goal of this repository is to develop a machine learning model that can accurately predict loan approval decisio
data data-analysis data-visualization eda machine-learning numpy pandas python statistics
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https://github.com/badranalyst/titanic-survival-prediction-full-data-science-project-classification
This project predicts Titanic survivors using classification models. It includes data cleaning, pre-processing, exploratory data analysis (EDA), categorical feature conversion, model building, and evaluation. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used to analyze and predict survival outcomes.
classification data-analysis data-science eda exploratory-data-analysis machine-learning matplo matplotlib-pyplot ml model numpy pandas predictive-modeling python seaborn
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https://github.com/emv271828/calculadora-rpn
Calculadora com notação polonesa reversa desenvolvida em python
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https://github.com/rama1997/lane-line-detection
Uses computer vision to detects lane lines on the road from images/videos using the POV of a driving vehicle
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Predicting League of Legends Match Outcomes Using Logistic Regression and PyTorch.
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https://github.com/prakharagr2001/whatsappchatanalyzer
WhatsAppChat Analyzer is a Python-powered website leveraging the capabilities of NumPy, Pandas, and Streamlit. It provides comprehensive analysis of WhatsApp conversations, extracting valuable insights and statistics for a user-friendly interpretation of chat data.
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https://github.com/azaz9026/data_cleaning
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https://github.com/ahmedabdalkreem/hotel-reservation
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bagging decisiontreeclassifier ensemble extra-trees-classifier logistic-regression matplotlib numpy pandas python3 random-forest sklearn-library svc-model
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https://github.com/lexxai/goit_python_ds_hw_02
Модуль 2. Знайомство з Pandas, Аналіз файлів, Аналіз датасет c Kaggle.com. Python Data Science. Homework.
datascience google-colab homework jupyter-nootebook matplotlib numpy numpy-arrays pandas python seaborn seaborn-plots
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https://github.com/alejoduarte23/reading_data_from_dewesoft
The following repository retrieves sensor data (acceleration and strains) from both local and cloud databases. It processes the data using classes from another repository called Modal Engine for spectral analysis, modal analysis, and signal processing.
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https://github.com/hansalemaos/numpyslicesplit
Splits a numpy array or a list based on the given indices or ranges and returns the split arrays.
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https://github.com/fedesgh/parkinson_volatility_spread_on_cedears
Creating a function that returns a graph with the difference between Parkinson's volatility and regular volatility given a certain bounds
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An exploratory data analysis of an Iphone sales in jupyter notebook with the help of python and its libraries
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using numpy and pandas to analyze a synthetic loan dataset with python
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Heart Risk Level Predicting Regression Model & Web using Feature Engineering and Data Preprocessing :baby_chick:
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simple neural network. The comments accompanied with codes are written in English.
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https://github.com/richardbmk/datascience_machinelearning
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AI Discipline Work - Movie recommendation
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LinAlg-Practice is a Python library developed to deepen my understanding of linear algebra through hands-on implementation of various matrix operations. It includes comprehensive tests that compare the results with established libraries like NumPy to ensure accuracy and reliability.
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https://github.com/paraskevi-kivroglou/rl-pong-agent
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https://github.com/yash-rewalia/airbnb_eda_pandas
The goal of the project is to gather information and analyze the detailed information of the different entries in order to provide insights about the host and price of the property in a particular area as per your preference , type of rooms and number of reviews accordingly.
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This is my data analysis project. Users can use this project to clean and preprocessing the date or data visualization. Individuals can impute or ecnode ther dataset.
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https://github.com/germanocastanho/python-notes
Personal collection of Python Notes, tips, and code snippets 🐍
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A Neural Network made using Numpy
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Developed a flight price prediction model using Python, analyzing historical data to forecast airfare prices and help travelers make informed booking decisions
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Last synced: 29 Sep 2025
https://github.com/georgehanymilad/startups-profit-prediction
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https://github.com/zuhairzia/titanic-survival-project
This is a Titanic Survival Prediction Model developed using Python, Pandas, Scikit-learn, and Jupyter Notebook. The model predicts whether a passenger survived the Titanic disaster based on features such as age, gender, and passenger class.
csv-dataset flask jupyter-notebook matplotlib numpy pandas pandas-library python scikit-learn seaborn streamlit
Last synced: 11 Apr 2026
https://github.com/dmarks84/coursework_project_ml-model-eval-refine
Project for IBM Data Science course on ML Models & Analysis -- Read in large dataset of home sales and utilized polynomial linear regression analysis to make predictions of future home sales prices
classification communication data-modeling dataframes machine-learning matplotlib numpy pandas programming python regression scikit-learn scipy seaborn supervised-ml visualization
Last synced: 09 Apr 2026
https://github.com/djdhairya/crop-recommendation
Crop Recommendation System is a powerful tool for enhancing agricultural decision-making. By leveraging data-driven insights, it empowers farmers to maximize yield and ensure sustainable practices.
adaboostclassifier bagging-classifier csv decision-trees gaussian html knn-classification logistic-regression machine-learning machine-learning-algorithms matplotlib model numpy pandas random-forest random-forest-classifier scikit-learn seaborn svc
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https://github.com/ahmed-maher77/diabetes-prediction-app-using-machine-learning
Diabetes Prediction: Using machine learning to classify individuals as diabetic or non-diabetic based on health data, enabling early intervention and improved healthcare outcomes.
ai css data-science gradientboostinclassifier javascript logisticregression machine-learning matplotlib numpy pandas python randomforestclassifier seaborn streamlit supportvectormachine webdevelopment
Last synced: 11 Apr 2026
https://github.com/armahdavi/analytics-data-pipelines-statistics-plotting---dust-extraction-hvac-filters---phase-1
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matplotlib numpy pandas pandas-dataframe pyplot python scipy-stats sklearn
Last synced: 13 Apr 2026
https://github.com/kirtipratihar/python_libraries_for_ds
This repository serves as a comprehensive guide to Python programming for Data Science. It covers essential topics like data manipulation, data visualization, machine learning, and statistical analysis using popular libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn.
artificial-intelligence machine-learning numpy pandas python scikit-learn tensorflow
Last synced: 11 Apr 2026
https://github.com/achmadhadikurnia/numpy-from-zero
My journey of learning NumPy from scratch.
data-science machine-learning numpy numpy-exercises numpy-tutorial python python-for-beginners tutorial
Last synced: 11 Jun 2026
https://github.com/marcinz20/sortingalgorithms
This is a basic console program which contains just a few, basic sorting algorithms and showcases their usage
algorithms numpy object-oriented-programming python
Last synced: 15 May 2026
https://github.com/qanastek/parseur-pdf
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https://github.com/mehradi-github/ref-jupyter-2510
using python in machine learning
matplotlib numpy pandas python sklearn statistics
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https://github.com/jvictor011/analise_de_dados_pokemon
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matplotlib numpy pandas python scipy
Last synced: 30 Jun 2026
https://github.com/mustafadanabasi/python-linearregression-evfiyatlari
Ev Fiyatlarını Linear Regrasyon ile tahminleme çalışması.
linear-regression numpy pandas python
Last synced: 06 Apr 2026
https://github.com/abideen-olawuwo/sign-language
Multi Class Image Classification
convolutional-neural-networks deep-learning keras machine-learning matplotlib neural-network numpy pandas tensorflow
Last synced: 11 Apr 2026
https://github.com/franciscomartinez45/Social-Network-Analysis
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
Last synced: 11 Apr 2025
https://github.com/dmarks84/ind_project_data-science-london-scikit-learn--kaggle
Independent Project - Kaggle Competition -- I worked on the Data Science London data set for the Data Science London + Scikit-learn competition.
classification cross-validation data-modeling data-reporting data-visualization dataframes eda grid-search matplotlib numpy pandas python sklearn statistics supervised-ml
Last synced: 06 Apr 2026
https://github.com/Marvin-VW/3dengine_python
3D engine written in Python using OpenCV and NumPy
Last synced: 29 Sep 2025
https://github.com/sejalmankar1012/customer_churn
The goal of this project was to develop a machine learning model that predicts customer churn based on historical customer data.
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https://github.com/tigureis/aula_deployment
This project not only demonstrates a machine learning pipeline but also serves as a template for deploying models into production. By leveraging the project's structure and code, you can streamline the process of deploying your own machine learning models.
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https://github.com/dhanish03/credit_card_fraud_detection
Developed and implemented an advanced CCFDS using ML algorithms and pattern recognition techniques. Integrated real-time monitoring and adaptive learning capabilities into the system to dynamically adjust fraud detection parameters, ensuring effectiveness in identifying emerging fraud patterns.
kaggle-dataset numpy pandas-dataframe python3 sklearn
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algorithm linear-algebra numpy python
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https://github.com/aaaastark/textclassification-nlp-project
Dataset preparation, Feature Engineering, Model Building, Summary Statistics, Data Exploration by Visualizations, and Save File CSV
matplotlib nltk numpy pandas python seaborn sklearn textblob wordcloud
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https://github.com/mzayles/vendas_ficticias_dataprep
💻📊✅ Curso de Programação em Python para Data Science | Analisando e tratando dados fictícios.
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https://github.com/lucasgleria/seamese-network-algorithm
Este projeto implementa um sistema de busca por similaridade de imagens usando redes siamesas e Triplet Loss em PyTorch. Ele gera embeddings de imagens (MNIST com EfficientNet-B0) para encontrar visuais semelhantes. O foco está na análise visual e no aprendizado de representações no espaço vetorial.
google-colab matplotlib numpy pandas python pytorch timm
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https://github.com/djdhairya/breast-cancer-prediction
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https://github.com/abrarshahok/electric-vehicle-charging-station-energy-consumption-prediction
With the rapid adoption of electric vehicles, optimizing energy usage at charging stations has become crucial for improving operational efficiency and ensuring customer satisfaction. This tool leverages predictive modeling to forecast energy consumption for charging sessions based on various input features.
matplotlib numpy pandas plotly python3 scikit-learn xgboost
Last synced: 09 Jun 2026
https://github.com/mgitrov/coce
A deep learning-based project aiming to classify images out of 10 classes.
computer-vision convolutional-neural-networks deep-learning docker fastapi keras matplotlib numpy pillow regularization
Last synced: 06 Apr 2026
https://github.com/eesunmoon/genai_cor-recom
[Project] Outfit Coordination Recommender System using KoAlpaca
data-analysis fine-tuning generative-ai huggingface keyword llm numpy pandas python python3 selenium
Last synced: 06 Apr 2026
https://github.com/lfgodoi/rpm-deep-guesser
A deep learning-based RPM estimator based on spectral features extracted from vibration signals of rotating machines.
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Last synced: 02 Mar 2025
https://github.com/shreyasdankhade/portfolio_optimatization_project
The Portfolio Optimization Project uses optimization techniques to balance risk and return, helping investors make efficient asset allocation decisions.
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Last synced: 06 Apr 2026
https://github.com/priyanshii1511/predicting-customer-churn
Data Science mini project
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Last synced: 06 Apr 2026
https://github.com/mehtadigisha/medical-insurance-cost-with-linear-regression
Machine Learning for predict the charges
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Last synced: 06 Apr 2026
https://github.com/t-lak/decision-tree
This project implements a basic Decision Tree classifier. It supports visualizing the tree and calculating performance metrics (accuracy, precision, F1-score, and recall).
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https://github.com/philiptitus/height-prediction
Built an ML model to predict height of a person based on their age.
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https://github.com/harsha-yuvaraj/Data-Compression-and-Decompression-Tool
A specialized lossless file compression and decompression tool designed mainly for plain text, including programming files.
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https://github.com/lorenzorottigni/dl-lending-club
Deep Learning python bootcamp: deep learning on Lending Club dataset
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https://github.com/samir-atra/license-plate-recognition
License plate recognition system
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https://github.com/ksharma67/anomaly-detection-on-temperature-device-failure
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