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/waghraj1699/pokemon-predicton
Predict which type of pokemon it is using CNN
data-science deep-learning keras numpy python tensorflow utils
Last synced: 05 Apr 2026
https://github.com/faisal-khann/python-practice
This is the section for python practice, where we engage in programming exercises to improve our Python skill.
numpy numpy-arrays pandas python
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https://github.com/gdg-a-coruna/inteligencia-artificial-en-la-deteccion-del-cancer
Repositorio con recursos sobre la charla Build with AI: Inteligencia Artificial en la Detección del Cáncer
ann breast-cancer breast-cancer-prediction breast-cancer-wisconsin keras lasso matplotlib ml numpy pandas python r svm tensorflow
Last synced: 17 Feb 2026
https://github.com/azaz9026/python_project_for_data_analysis
numpy pandas postgresql python3
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https://github.com/vineet416/eda-hr-analytics
EDA on HR-Analytics by PW Skills Data Analytics course
data-analysis data-analysis-python data-analytics data-preprocessing data-processing data-visualization exploratory-data-analysis jupyter-notebook matplotlib-pyplot numpy pandas python seaborn statistical-analysis
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https://github.com/ireneflorez/sf-kindergarten-lottery
Data analysis reviewing data and findings on the public school kindergarten lottery in San Francisco
ipynb-jupyter-notebook jupyter-notebook numpy pandas python sql
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https://github.com/sultanazhari/game-trend
Ice as a online store Video Games want to know a new trend of video game to help them prepare a video games which is more profitable to sell. As a data Analyst we're giving a trend of video game by genre, platform, console and the others clasification.
matplotlib-pyplot numpy pandas python3 scipy-stats video-game
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https://github.com/dhruvrajsinhzala24/house-price-predictor-ml-model
A machine learning project to predict house prices using linear regression and random forest models. The project leverages housing data to train and evaluate models, comparing their performance using metrics like MSE and R². Visualizes actual vs. predicted prices to assess model accuracy.
linear-regression machine-learning matplotlib ml numpy pandas python random-forest-regression sklearn
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https://github.com/mr-chang95/udacity-starbucks-challenge
Data Science Project for Udacity's Data Scientist Program. Using Python in Jupyter Notebook.
data data-science data-visualization numpy pandas sklearn
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https://github.com/ricky9667/taiwanoceantrashpredict
A very simple DNN project using Keras.
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artificial-intelligence clustering-algorithm machine-learning numpy pandas seaborn sklearn
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This is Python based project which is a virtual board and we write there using our finger and clear it and color changing.
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https://github.com/tim-w-james/python-data-reference-code
Python reference code for data visualization, machine learning and SQL
data-science jupyter-lab numpy python
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https://github.com/andreazoccatelli/light_permanova
A lightweight implementation of PERMANOVA based on Euclidean distance from centroid
computervision numpy permanova pytorch statistics tabular-data
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https://github.com/vviveksharma/barcodescanner
The Bar Code scanning Application built using Computer Vision library such as Opencv in python the main objective of the project is to read the barcode that is being shown in the camera and decoding it and telling if the Database or Text file that is attached to it has that permitted decoded number if yes then it shows "Permitted" is green else "Not-Permitted" in red
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https://github.com/dwija12903/ai-lab
A collection of practical implementations from my AI Labs course
keras numpy sckit-learn tensorflow
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Have you watched the Harry potter movie? The Invisible Cloak scene pushed me to make this small code.
image-processing numpy opencv-python
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https://github.com/alphacrypto246/air-quality-prediction
The Air Pollution Prediction project forecasts pollution levels using the Air Quality UCI dataset, including variables like CO, NOx, temperature, and humidity. It analyzes temporal and environmental factors to predict air quality trends.
machine-learning numpy pandas scikitlearn-machine-learning sckiit-learn
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https://github.com/1adityakadam/computer-vision-approach-for-quality-inspection-of-steel-sheets
Machine Learning and Computer Vision project improves steel defect inspection using computer vision. A segmentation technique partitions steel sheet images into regions, enabling better defect analysis. U-Net is used for segmentation, and MobileNetV2 for classification. Performance is evaluated with the Dice Coefficient.
computer-vision machine-learning numpy pandas unet-image-segmentation
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https://github.com/jeffson-dsilva/smartphone-price-prediction
Smartphone Price Prediction is a machine learning project that predicts the price category of a smartphone based on its features. This project provides insights into how various specifications, such as RAM, battery capacity, and processor speed, influence the pricing of smartphones.
dataanalysis machine-learning matplotlib modelbuilding numpy pandas price-prediction python seaborn smartphone
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https://github.com/gayatri018/ab-testing-marketing-campaign
This project involves conducting A/B testing to evaluate the performance of two marketing campaigns: Facebook Ads and Google Adwords for an online retail business. The primary goal is to determine which campaign is more effective in driving user engagement and conversions, helping the company optimize its marketing strategies.
ab-testing linear-regression matplotlib numpy pandas python scipy seaborn sklearn-
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https://github.com/myahninsi/credit_card_fraud_detection
This repository is for the Neural Networks and Deep Learning Course - Assignment 1, focusing on credit card fraud detection. The project utilizes a machine learning model to predict whether a transaction is fraudulent using a synthetic credit card dataset.
matplotlib numpy pandas pickle python scikit-learn seaborn streamlit
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https://github.com/jsnevt/knn_neighborhood
ML - classificação por vizinhança
kneighborsclassifier matplotlib numpy pandas seaborn
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https://github.com/guybanbo/qr-algorithm
QR alogrithm for finding eigenvalues and eigenvectors of a large symmetric matrix
haskell hmatrix numpy optimization python qr-algorithm symmetric-matrix
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https://github.com/zahediparsa/nlp_ta_uok
This repository contains exercises designed for students in the Natural Language Processing (NLP) course at the University of Kurdistan, taught by Dr. Fatemeh Daneshfar. The course took place from February 2024 to July 2024.
cbow jupyter-notebook matplotlib nlp nltk numpy pandas python tf-idf
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https://github.com/shweta189/sms-spam-detection
Detecting Spam SMS's messages using machine learning algorithms.Utilizing NLP techniques such as tf-idf vectorization and machine learning algorithms like naive bayes and logistic regression for classifications. Integrated with Streamlit to create an interactive web app where users can input a message and instantly check if it's spam or not.
eda machine-learning-models nltk numpy pandas plotly python seaborn streamlit
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This project focuses on segmenting the Electric Vehicle (EV) market in India to identify key customer groups based on their preferences, behaviors, and demographics.
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https://github.com/umesh-01/python
Python is a programming language that lets you work more quickly and integrate your systems more effectively. Python is used for web development, AI, machine learning, operating systems, mobile application development, and video games.
ai application-development artificial-intelligence deep-learning machine-learning matpotlib ml nlp numpy open-source pandas python python-framework python-libraries python3 web-development
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Breast_Cancer_Analysis
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https://github.com/dev-dur/student_exam_analysis
This is a beginner-friendly data analysis mini-project using NumPy, Pandas, and Matplotlib. The project generates random student exam scores, analyzes them, and visualizes the results.
matplotlib-pyplot numpy pandas python
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https://github.com/686f6c61/numeros-primos-gemelos
Este proyecto permite generar y visualizar números primos gemelos de diferentes formas para ayudar a comprender sus patrones y distribución. Incluye múltiples visualizaciones y análisis estadísticos avanzados.
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https://github.com/sayidmushtaq/reportcard
Tracking and analyzing student grades. It calculates averages, identifies top performers, and generates performance reports with ease.👨🏼🎓👨🏼🎓
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This is a Python programming using flask and has been set up with the MVC concept and can connect to the database
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https://github.com/nikita620/churn-prediction-using-machine-learning-
Major project on Python and AI
decision-tree-classifier matplotlib numpy pandas pickle python random-forest-classifier xgboost-classifier
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Python implementation of the Gaussian Elimination method for solving systems of linear equations.
algorithms back-substitution educational gaussian-elimination linear-algebra linear-systems math matrix numerical-methods numpy pysimplegui python row-echelon-form scientific-computing sympy
Last synced: 31 May 2026
https://gitlab.com/DLR-SY/boxbeam
Boxbeam is a legacy Fortran tool translated to python. It calculates effective beam properties of composite cross sections comprised of rod-like elements.
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https://github.com/kanika300393/loan_prediction
This project implements a Loan Prediction system using Support Vector Machine (SVM). It includes data preprocessing, visualization of features like income and education, and model evaluation. The goal is to predict loan approval based on the dataset. Clone the repo to explore the code and improve the model.
data-science machine-learning numpy pandas python scikit-learn svm-classifier
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https://github.com/mayankmittal29/duplifinder-quora-clone-catcher
An advanced system for detecting semantically duplicate question pairs using cutting-edge NLP techniques. Combines traditional ML models (XGBoost, SVM, Random Forest) with deep learning architectures (BiLSTM, Siamese Networks, Transformers) and contextual embeddings (BERT, RoBERTa). Features engineered using token similarity, fuzzy matching, and em
bert bilstm cross-validation eda fastext fuzzy-matching glove numpy pandas python3 quora-question-pairs random-forest roberta seaborn stemming svm tf-idf transformers word2vec xgboost
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https://github.com/angelarreola/ai_notes
Notas de la materia "Inteligencia Artificial" para su posterior extraccion mediante algun modelo de lenguaje que nos permita dar respuestas personalizadas con base a la informacion presente en este repositorio.
ai matplotlib numpy pandas phaserjs python scikit-learn
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https://github.com/fauzan3416/text-balls
use balls to render parametric equations or strings
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3d-graphics numpy opengl pyglet wxpython
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https://github.com/sibendud/csi_2024_dataengineering
Internship on Data Engineering where below topics are applied skills that are used to complete the given tasks through out 8 weeks including the project.
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https://github.com/sabdikay/telco-customer-churn-analysis-ibm-dataset
This project explores customer churn trends for a company in California using an IBM dataset. Built in a Jupyter Notebook, it employs pandas, NumPy, matplotlib, seaborn, plotly, and scipy to clean, analyze, and visualize data. Through statistical tests and interactive maps, it uncovers key drivers behind customer cancellations
business-intelligence customer-churn data-analysis data-analysis-python data-visualization exploratory-data-analysis jupyter-noteboook matplotlib numpy pandas plotly predictive-modeling python scipy seaborn statistical-analysis
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https://github.com/shoaib1522/data-science-in-python
"Unlock the power of data science with my curated collection of Python projects—your gateway to insights, analysis, and hands-on learning! 🌟"
analytics confusion-matrix data-science kaggle-dataset matplotlib mlp-classifier notebook numpy pandas python regression streamlit
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https://github.com/chandkund/sms-spam-detection
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ai jupyter-notebook machine-learning matplotlib ml numpy pandas python scikit-learn
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https://github.com/semanurbilada/chatbot
Developing ChatBot [ open source ]
custom-dataset intents keras keras-neural-networks keras-tensorflow model-training nlp nlp-machine-learning nltk-python numpy open-source pickle tensorflow
Last synced: 14 Apr 2026
https://github.com/shekharkram/project
A collection of data analytics projects showcasing skills in data cleaning, exploration, visualization, and basic SQL queries. Designed to demonstrate entry-level data analyst competencies using real-world datasets and tools.
datacleaning excel jupyter-notebook mysql numpy pandas postgresql python sql
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https://github.com/nisch-mhrzn/house_prediction
This project predicts house prices using data exploration, feature engineering, and machine learning models like Linear Regression and Random Forest. It demonstrates how to optimize models and evaluate their performance to accurately forecast house prices.
matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/sahaavi/color-detection
Colour detection is the process of detecting the name of any color. Well, for humans this is an extremely easy task but for computers, it is not straightforward. Human eyes and brains work together to translate light into color. Light receptors that are present in our eyes transmit the signal to the brain. Our brain then recognizes the color. Since childhood, we have mapped certain lights with their color names. We will be using the somewhat same strategy to detect color names.
color-detection color-detector numpy opencv-python pandas
Last synced: 10 May 2026
https://github.com/dawoudtormos/rain_predicition_ml
This repository contains a machine learning project for rain prediction using historical meteorological data. The goal is to predict whether it will rain the next day based on weather measurements like atmospheric water vapor, cloud formation, and past rainfall records.
ai machine-learning machine-learning-algorithms matplotlib numpy seaborn sklearn
Last synced: 10 May 2026
https://github.com/coder5omkar/LendingClubCaseStudy
Performed exploratory data analysis (EDA) on the loan dataset from the Lending Club Case Study to identify the key factors influencing loan defaults.
bivariate-analysis data-science exploratory-data-analysis matplotlib numpy pandas seaborn univariate-analysis
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https://github.com/AsuquoAA/Big_4_Sports_Teams_and_City_Population_Analysis-2018-
Analysis of sports teams' win/loss ratios vs. metro area populations across NFL, NBA, MLB, and NHL.
data-cleaning-and-preprocessing numpy pandas
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https://github.com/jsimell/sleepanalysis
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data-analysis matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/achronus/data-graphing-tool
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data-visualization matplotlib numpy pandas python3
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googlecolab matplotlib-pyplot numpy pandas
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https://github.com/scikit-plots/lightnumpy
A lightweight version of NumPy or Cupy (or similar functionality).
cupy lightnumpy numcpp numpy python
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https://github.com/abideen-olawuwo/heart-diseases
A Heart diseases Machine Learning classification problem
decision-tree-classifier kneighborsclassifier logistic-regression matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/szymon-budziak/real_estate_house_prices_prediction
Predicting real estate house prices using various machine learning algorithms, including data exploration, preprocessing, model training, and evaluation.
data-analysis data-preprocessing data-science eda jupyter-notebook machine-learning matplotlib numpy optuna pandas predictive-modeling price-prediction python random-forest regression scikit-learn seaborn
Last synced: 21 Jan 2026
https://github.com/petcareai/dba
PetCare DBA Admin é um sistema web avançado desenvolvido especificamente para a administração e gerenciamento de bancos de dados da plataforma PetCare. Esta ferramenta foi criada para simplificar e otimizar o trabalho de administradores de banco de dados (DBAs) em clínicas veterinárias, hospitais veterinários e sistemas de gestão pet.
api dba front-end-development git numpy pandas-dataframe petcareai ploty postgresql python shell-script sql startup streamlit streamlit-webapp supabase supabase-auth supabase-db supabase-storage virtualenv
Last synced: 14 Apr 2026
https://github.com/rebeccamorolong/market--basket--analysis
Market Basket Analysis using the Apriori algorithm to predict association rules and frequent itemsets from transactional data. The goal was to uncover product combinations that frequently co-occur in transactions, which can be used for recommendations, promotions, and inventory management.
apriori-algorithm numpy pandas seaborn
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https://github.com/musamairshad/numpy-learning
This repository contains material related to the NumPy Learning.
matrices multidimensional-arrays numpy python
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https://github.com/shubham-bendre/football-clip-analysis
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deep-learning matplotlib numpy roboflow-dataset yolov5
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https://github.com/rafinha0rafinha/web-analyzer-backend
(Legacy) This is the backend for Mazaoro SARLU's lead magnet "Web Analyzer". This project analyzes websites using Google Lighthouse and returns a detailed report consumed by the frontend.
azure-app-service azure-devops chartjs cicd data-analysis data-science data-visualization express flask hacktoberfest lighthouse numpy sentiment-analysis vader-sentiment-analyzer
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https://github.com/ahmed-maher77/signlink___graduation-project
𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐒𝐢𝐠𝐧 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐓𝐫𝐚𝐧𝐬𝐥𝐚𝐭𝐨𝐫 | A web and mobile app that bridges communication gaps for the deaf and hard-of-hearing community by translating English and Arabic sign language into real-time text and speech, and converting spoken words into text during video calls.
csharp fastapi firebase-realtime-database flutter framer-motion javascript microsoft-dot-net-technologies numpy opencv python pytorch reactjs scikit-learn scss-framework sign-language-recognizer sign-language-translation sql-server tailwindcss webrtc websockets
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https://github.com/sadegh-khedry/housing-prices-prediction-using-randomforest
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csv joblib jupyter-notebook matplotlib numpy pandas pil python random-forest seaborn sklearn
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https://github.com/nk-works/creditflow-ai
CreditFlow AI predicts loan defaulters using Artificial Neural Networks (ANNs). This model uses historical loan data to predict the likelihood of default for new loan applications.
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json-api jupyter-notebook matplotlib-pyplot numpy weather-information
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https://github.com/khushi130404/regulexa
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elastic-net-regression lasso-regression numpy ridge-regression
Last synced: 17 May 2026
https://github.com/tachoknight/propanescale
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mqtt mqtt-broker numpy numpy-arrays python python3 serial serial-communication
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https://github.com/abhishekyadav915/multiple_disease_prediction_using_ml
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colab-notebook logistic-regression numpy pandas python3 sklearn spyder-python-ide streamlit-web streamlitcloud svm-classifier
Last synced: 05 May 2026
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Last synced: 02 May 2026
https://github.com/dzakarias/waves
Fun with the sine function inspired by Chladni plates
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Last synced: 04 Feb 2026
https://github.com/notshrirang/opennn
Neural Networks for humans. An implementation from scratch in Python using NumPy. Consists of Optimizers such as Adam, SGD, Adagrad, RMSProp, and activation functions ReLU, Softmax and Losses. All implemented from scratch.
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Last synced: 27 Apr 2026
https://github.com/wasifsohail5/amusic-ai_powered_musicrecommendationsystem
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High-performance Python utilities for AI/ML workflows, computer vision, and enhanced Pandas/NumPy data engineering.
computer-vision data-science machine-learning numpy pandas python
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https://github.com/prateekrajsrivastav/question-answering-model
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Last synced: 10 May 2026
https://github.com/ayorick23/python-data-science-cheat-sheet
Guía rápida y práctica de sintaxis, comandos y funciones esenciales de Python para Ciencia de Datos. Perfecta para recordar cómo usar las librerías más comunes como NumPy, Pandas, Matplotlib y Scikit-learn en tus análisis diarios.
cheat-sheet data-analysis data-science data-visualization deep-learning jupyter-notebook machine-learning matplotlib ml numpy pandas python scikit-learn scipy seaborn statistics sympy tensorflow
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https://github.com/helabenkhalfallah/art-bloom
ArtBloom is a backend application designed for art enthusiasts and researchers.
analytics backend-api numpy pandas-python python recommendationsystem
Last synced: 22 Jan 2026
https://github.com/esoltys/climate_data_viz
FastAPI-based web application that fetches and visualizes climate data from the Copernicus Climate Data Store (CDS).
apache-echarts copernicus-climate-data-store fastapi numpy
Last synced: 10 May 2026
https://github.com/jupfu/beck-view-movie
Assemble mp4 video from list of images
multithreading numpy opencv python3 threadpool tqdm
Last synced: 10 May 2026
https://github.com/yahiazakaria445/ensemble-learning-voting-classifier
Ensemble Learning Using KNN, Naive Bayes, Decision Tree on Biomechanical Data
matplotlib numpy pandas scikit-learn seaborn
Last synced: 30 Apr 2026
https://github.com/polyee99/kaggle-titanic-data-analytics
Jupiter notebook to predict the outcome of passengers who died or not in the tragical Titanic event.
data eda jupiter-notebook matplotlib numpy pandas python regression-analysis test-train-split visualization
Last synced: 05 Feb 2026
https://github.com/razvan48/digit-recognizer-in-python
A simple digit recognizer written using Python.
graphics knn knn-algorithm knn-classification machine-learning machine-learning-algorithms numpy pygame python
Last synced: 17 May 2026
https://github.com/gerlero/generala
🎲 Probabilistic tool for the dice game of Generala
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https://github.com/zohaib-cheema/defacto
DeFacto is a machine learning-based tool that classifies fake news articles using a hybrid model built with Scikit-learn, TensorFlow, and Keras. The system analyzes social and political content to detect deception in news stories and social media posts, providing a reliable solution to address the growing issue of misinformation.
flask git keras numpy pandas r scikit-learn tensorflow
Last synced: 07 Apr 2026
https://github.com/hansalemaos/cirdhighspeedcoverter
High speed conversion of IP addresses represented in CIDR notation into their corresponding start and end IPs, along with their respective subnet masks.
cidr data-manipulation ip-addresses ip-conversion network network-management network-security numpy pandas subnet-mask
Last synced: 27 Jan 2026
https://github.com/sadafasad/banks-mc-etl-pipeline
Banks' market capital ETL data pipeline
apache-airflow beautifulsoup docker numpy pandas python requests sqlite
Last synced: 14 Apr 2026
https://github.com/shibam120302/all_about_python
Here I upload python from basic to advance ,oops in python, dsa using python system design, numpy, pandas, data science, ML also. Follow @shibam120302 and star this repo.
numpy numpy-arrays oops-in-python pandas python python-dsa python-library python3 system-design tabula
Last synced: 10 May 2026
https://github.com/avik-pal/kaggle-titanic
Predicting whether a given set of people survive on the Titanic
machine-learning numpy pandas scikit-learn scikitlearn-machine-learning
Last synced: 14 Apr 2026
https://github.com/zakircodearchitect/intent-classifiers-on-regression-models
This project compares five optimization algorithms (GD, SGD, Momentum, RMSProp, and Adam) on Univariate Linear Regression and a neural network for Intent Classification with the ATIS dataset. It evaluates convergence speed, stability, and final loss, showing that Adam delivers the best performance across both models.
atis-dataset intent-classification jupyter-notebook keras keras-neural-networks matplotlib numpy python regression-models tenserflow
Last synced: 02 May 2026
https://github.com/hoyirul/flask-starter-fs
Flask-Starter-FS is a concise full-stack starter kit for Flask web development, offering quick setup and pre-configured settings for seamless integration of front-end and back-end components. Accelerate your full-stack web application development with Flask-Starter-FS.
flask machine-learning numpy pandas python sklearn
Last synced: 14 Apr 2026