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/kr1shnasomani/sentimentscope
Sentiment analysis on movie review using TensorFlow and GloVe embeddings
deep-learning keras matplotlib natural-language-processing neural-networks numpy pandas scikit-learn tensorflow
Last synced: 12 Apr 2026
https://github.com/yogeshnile/flight-delay-prediction
In this repo i developed predict a flight delay using machine learning.
flight-delay-prediction jupyter-notebook machine-learning numpy pandas python3 seaborn sklearn
Last synced: 13 Feb 2026
https://github.com/mgobeaalcoba/linear_algebra_for_machine_learning
Explore fundamental linear algebra concepts essential for machine learning in this repository, with code examples and explanations. Get a solid foundation for ML!
machine-learning matplotlib numpy pandas python3 scikit-learn scipy seaborn
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https://github.com/upul/indi
Small Machine Learning library written in Python
algorithms machine-learning numpy python scipy
Last synced: 10 Apr 2026
https://github.com/msadeqsirjani/synapse
seizure detector with neural networks
cnn edf matplotlib neural-network numpy pyedflib python seizure-detection sklearn tensorflow
Last synced: 11 Apr 2026
https://github.com/prakashjha1/stock-trend-prediction
Deep learning for predicting stock market prices and trends has become even more popular than before. I have used yahoo finance to collect the data and LSTM to build the stock trend model.
deep-learning keras lstm lstm-neural-networks machine-learning numpy pandas pandas-datareader prediction python rnn tensorflow
Last synced: 11 Apr 2026
https://github.com/fearless-spider/stooq-dax-seasonal
Parsing seasonality from time series data can often be useful in data analytics. It helps with analyzing seasonality for decision making as well as for more accurate forecasts. Python can be used to separate out these trend and seasonal components.
numpy pandas python statistics
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https://github.com/guilhermebit/movie-suggestions-using-k-nearest-neighbors
This project implements a movie recommendation system using the K-Nearest Neighbors (KNN) machine learning algorithm.
algorithms data-science euclidean-distance knn machine-learning matplotlib numpy pandas python
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https://github.com/pacatro/lse2text
Deep learning program that translates Spanish Sign Language (LSE) to text in real time.
ai cnn computer-vision deep-learning lse matplotlib numpy pandas python pytorch pytorch-lightning scikit-learn torchmetrics translation
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https://github.com/haidermalikk/neural-network-circuit-optimizer
The Neural Network Circuit Optimizer, built on my custom digital circuit simulator, uses AI and machine learning to optimize simple digital circuits. It leverages neural networks, circuit simulation, and optimization algorithms to reduce component count which improves: power usage, and execution time and efficiency. *Under Dev see Readme*
ai jupyter-notebook matplotlib ml numpy pandas python pytorch sqlalchemy tensorflow
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https://github.com/kanishk1420/renewabled-data-helper
An AI-powered assistant designed to help analysts, developers, and investors efficiently analyze and extract critical insights from renewable energy project documents. Built using Python, Google Gemini, FAISS, and Streamlit
gemini-api langchain mongodb numpy python streamlit
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https://github.com/mrtaz77/numerical-analysis
Hub of numerical methods, implemented using python and its data analysis libraries like numpy and matplotlib.
interpolation matplotlib-pyplot newton-raphson numpy regression
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https://github.com/mahnoorsheikh16/Credit-Card-Default-Prediction
This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.
chi-square-test encoding hiplot imblearn json knn-imputer matplotlib numpy pandas pca-analysis pillow plotly robust-scalar scipy seaborn sklearn smote streamlit ttest visualization
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https://github.com/abhinav330/data-science-projects
The Data Science Projects folder contains various projects related to data analysis, machine learning, and exploratory data analysis (EDA). Each project focuses on a specific dataset and utilizes different techniques and algorithms to extract insights and make predictions.
decision-trees exploratory-data-analysis k-means-clustering k-nearest-neighbours kaggle linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas plotly python random-forest-classifier support-vector-machines
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https://github.com/parawanderer/quantumcircuitdesigner
Interactive quantum circuit simulator
diagrams-as-code mathematics numpy quantum-computing tkinter-gui
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https://github.com/asim-2000/machine-learning-projects-in-python
ensemble-model machine-learning matplotlib numpy pandas python sklearn
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https://github.com/socrats/tscluster
Clustering time-series
clustering cython numpy python series time-series
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https://github.com/Tritonix711/FractureAI
This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.
css cv2 flask gorq html javascript matplotlib npm numpy pandas pydantic python react scikit-learn torch torchvision ultralytics
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https://github.com/mothnik/robust_fourier
Noise- and Outlier-Robust Fourier Transform with Hermite Functions with NumPy and Numba
chebyshev-polynomials fourier-transform hermite-functions hermite-polynomials least-square-regression logsumexp numba numpy python robust-statistics
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https://github.com/arnoldchrisoduor1/machinelearning-and-neuralnetworks
Starting out in Machine Learning.
numpy pandas python scikit-learn scipy sql tensorflow2
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https://github.com/dagdelenbunyamin/barcode-scanner-flb
Ein interaktives Barcode-Scanner-Tool zur Verwaltung von Schülerabmeldungen. Mit Webcam-Unterstützung, automatischer Zeiterfassung und PDF-Export für Lehrkräfte – entwickelt mit Streamlit, OpenCV und SQLite.
fpdf numpy opencv pandas python pyzbar streamlit
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https://github.com/mousazourob/stockdataresampler
Python script that resamples an instruments minute by minute candle stick data to any interval
alpha-vantage-api numpy pandas python
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https://github.com/ansub/mask-detection
A Mask Detection Application using Keras/TensorFlow and OpenCV.
keras numpy opencv python tensorflow
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https://github.com/jswong65/machine_learning_nanodegree
Projects of Udacity Machine Learning nanodegree
machine-learning numpy pandas python scikit-learn scipy
Last synced: 09 Apr 2026
https://github.com/cusyio/datenverarbeitung-mit-numpy
Kurs zum Schreiben und Optimieren eigener Programme zur Datenverarbeitung mit Numpy.
Last synced: 08 Jun 2026
https://github.com/dpgitaccount/file-handling-data-analytics-toolkits
In this repo File handling, Inventory management system and data toolkits resources are provided these are essential for managing, storing, and manipulating data in various formats, such as JSON files. JSON (JavaScript Object Notation), is widely used for data exchange due to its simplicity and readability. also File Handling included in this repo.
filehandling inventory-management json jupyter-notebook numpy os
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https://github.com/prithivsakthiur/qwen-image-edit-2509-loras-fast
Qwen-Image-Edit-2509-LoRAs-Fast is a high-performance, user-friendly web application built with Gradio that leverages the advanced Qwen/Qwen-Image-Edit-2509 model from Hugging Face for seamless image editing tasks.
aoti diffusers diffusion-models flash-attention-3 huggingface-spaces huggingface-transformers kernel numpy peft python pytorch qwen-image-edit qwen-image-edit-2509 qwen2-5-vl qwen3-vl torch torchvision
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https://github.com/amishmathur1/resumeats
✨ With Resume ATS Analyzer, users can improve their resume quality, boost ATS compatibility, and increase their chances of landing interviews — all with smart AI assistance.
express-python matplotlib-python nltk nltk-python numpy openai-api pandas plotly plotly-dash plotly-express pypdf2 python streamlit wordcloud
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https://github.com/rkarahul/machinelearning
This is for my all machine learning code
analysis computer-vision matplotlib mysql nlp numpy pandas python
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https://github.com/dipeshgoyal013/ipl_win_probability
A project which help you to check win probability of batting team in inning 2nd
machine-learning matplotlib numpy pandas python sklearn
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https://github.com/shreeyas-48/creditcardfrauddetection
Project for detecting credit card frauds using neural networks and logistic regression
autoencoder keras logistic-regression matplotlib neural-networks numpy pandas python scikit-learn
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https://github.com/asanka-j/machine_learning_exercises
Machine learning Self study Python & R
matplotlib numpy pandas python r sklearn
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https://github.com/dmarks84/coursework_coursework_project_automobile-sales-visualization
Project for IBM Data Science course on Visualization & Dashboards -- Analyzed historical sales data, performing EDA and setting up an interactive dashboard
communication dash dashboards data-modeling elt etl folium matplotlib numpy pandas pipelines plotly python scipy seaborn visualization
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https://github.com/i-am-nolan25/bells-palsy-ml-research
A Machine Learning Model to Grade the Severity of Bell's Palsy
artificial-intelligence dlib healthtech jupyter-notebook machine-learning matplotlib numpy opencv pandas python research scikit-learn scipy
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https://github.com/madhurimarawat/python-for-datascience
This repository contains programs in the python programming language.
array basic-programs conditional-statements csv-files data-structures datatypes exception-handling first-class-functions functions list looping-statements matplotlib numpy object-oriented-programming operators pandas priority-queue python-3 queue stack
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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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https://github.com/aymen016/image-processing-algorithms
Explore Python-based image processing from scratch with core algorithms like interpolation, convolution, and filtering!
matplotlib numpy pillow python
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https://github.com/elazzouzihassan/si-fraud-detection-prototype
Système de Détection des Fraudes avec Python (Prototype).
googlecolab matplotlib numpy pandas python scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/kartikeya443/handgesture_detection_opencv
A Computer Vision based model trained on data sets of over 300 inputs for a particular gesture is able to detect and identify human hands gestures effortlessly and is able to track the coordinates for further modifications in its usage for controlling devices like mouse and windows (control features are in development).
deep-learning mediapipe numpy opencv tensorflow
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https://github.com/gandhasiri-rahul-mohan/random-forests-q2-company_data
About the data: Let’s consider a Company dataset with around 10 variables and 400 records.
data-science machine-learning numpy pandas python random-forest seaborn-plots
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https://github.com/vijaykumar1303/facial-emotion-recognition-system
Facial_Emotion_Recognition_System
cnn-classification git hyperparameter-tuning jupiter-notebook keras-tensorflow machine-learning numpy opencv pandas python sckiit-learn slack sql tenserflow-image-classifier
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https://github.com/itancio/realestateprice
This is an application of deep learning to train and predict real estate price dataset in King County, USA.
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https://github.com/m-rishab/housing-price-prediction
The Housing Price Prediction Accuracy Improvement project is a data-driven initiative focused on enhancing the precision and reliability of housing price predictions. This project encompasses a multidisciplinary approach, combining data science, machine learning, and real estate insights to optimize the accuracy of forecasts in the housing market.
gridsearchcv hyperparameter-tuning matplotlib matplotlib-pyplot numpy pandas pickle python3 randomforestregressor scipy sklearn
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https://github.com/camilajaviera91/prediction-of-housing-prices-using-linear-regression
This project provides tools to search for datasets on Kaggle, download and preprocess them, and perform predictions using a Linear Regression model. It includes interactive text-based user interfaces built with `curses`.
curses kaggle linear-regression matplotlib-pyplot mean-absolute-error mean-square-error numpy pandas pathlib python scikit-learn train-test-split
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https://github.com/georgiivoyakin/mirea-big-data
Python Big Data programming tasks for institute
apriori-algorithm apriori-algorithm-python fpgrowth jupyter-notebook numpy pandas plotly python python3 scipy sklearn
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https://github.com/ryannapp12/quant_trading_engine
A modular, and scalable quantitative trading engine built in Python. This project demonstrates efficient data caching with SQLite, concurrent backtesting, and advanced risk analytics, showcasing best practices in clean code architecture and performance optimization.
algorithmic-trading backtesting dash data-analysis data-visualization fintech lstm machine-learning numpy pandas plotly python quantitative-finance real-time risk-management sqlite technical-analysis tensorflow time-series-analysis trading-strategies
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https://github.com/tasninanika/callifornia-housing-price-prediction-svr
Support Vector Regression (SVR) is a type of Support Vector Machine used for predicting continuous values.
matplotlib numpy pandas python3 scikit-learn seaborn svm-regression
Last synced: 11 Apr 2026
https://github.com/ishutak/disease_prediction
An AI-powered disease prediction system that uses machine learning to predict diseases based on symptoms. The system employs an ensemble of models including Random Forest and Neural Networks to provide accurate predictions with confidence levels.
css3 htlm5 javascript jquery numpy pandas pytorch scikit-learn select2
Last synced: 11 Apr 2026
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
computer-vision cv2 feature-matching image-comparison image-comparison-tool machine-learning numpy object-detection opencv orb python scikit-image ssim tkinter visualization yolo yolov5
Last synced: 18 Jan 2026
https://github.com/kishore-sr/creditworthy
AI-powered web app built at "Codeathon 2024" IIIT Bangalore
clerk-auth node-js numpy pandas python reactjs streamlit
Last synced: 11 Apr 2026
https://github.com/thedevreda/python
My Full Backup Packagaes & Files Guide for Python 👷♂️
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 20 Apr 2026
https://github.com/nirmalyabag20/wine-quality-prediction-machine-learning
This project analyzes the chemical properties of wines to identify key factors influencing quality. By leveraging machine learning techniques, i aim to develop predictive models that accurately classify wine quality, providing valuable insights for producers and enthusiasts alike.
k-neighbors-classifier logistic-regression machine-learning matplotlib numpy pandas python random-forest seaborn svc
Last synced: 09 Apr 2026
https://github.com/bhattbhavesh91/tf-numpy-example
Faster NumPy using Tensorflow's tf.experimental.numpy module
Last synced: 01 May 2026
https://github.com/codeasarjun/_easy_machine_learning
This repo contains a comprehensive tutorial on machine learning with practical implementations and examples using Python.
artificial-intelligence clustering deep-learning jupyter-notebook machine-learning machine-learning-algorithms modelevaluation neural-network numpy pandas preprocessing python python3 regression scipy supervised-learning supervised-machine-learning unsupervised-learning unsupervised-machine-learning
Last synced: 13 Apr 2026
https://github.com/fiercex/toynn
Python实现神经网络
mnist-classification neural-network numpy python
Last synced: 15 May 2026
https://github.com/hansalemaos/cythonfastsort
C++ parallel sorting algorithms through Cython - up to 8 times faster than NumPy
c cpp cython numpy parallel-computing parallel-programming python sorting
Last synced: 04 Feb 2026
https://github.com/tejasvi541/machine-learning
My Machine and Deep Learning Practice and Projects Notebooks
matplotlib numpy python3 pytorch sklearn tensorflow
Last synced: 10 Apr 2026
https://github.com/jesussantana/ibm-skills-courses
IBM Data Science, Machine Learning & Deep Learning Courses to Increase your Skills Development
analysis classification clustering data-mining data-science deep-learning folium machine-learning matplotlib npl numpy pandas python3 regression-models seaborn sklearn supervised-learning unsupervised-learning visualization web-scraping
Last synced: 11 Apr 2026
https://github.com/meqdaddev/pixcraft
Welcome to PixCraft... Unleash the Power of Pixels
edge-detection flask gaussian-blur image-processing matplotlib matplotlib-pyplot numpy opencv opencv-python python
Last synced: 09 Apr 2026
https://github.com/sivatsk26/university-admit-eligibility-predictor
This project is created using Machine Learning and Regression methods- a statistical technique to predict the outcome of event which is to verify the users’ admission eligibility level, considering the universities they have chosen. This is achieved based on the algorithms implemented, when is user feed the application with the required information
html-css-javascript ibm-cloud ibm-watson linear-regression machine-learning matplotlib numpy pandas python python-flask random-forest scikit-learn
Last synced: 13 Apr 2026
https://github.com/ndohvich/ndohvich
Je suis un grand fan de l'analyse des données avev PYTHON
anaconda arduino data github jypyter keras machine-learning machine-learning-algorithms numpy pandas python scikit-learn sql tensorflow visual-studio-code visualization-dashboard
Last synced: 11 Apr 2026
https://github.com/alibowndyn/flickerforge
A customizable image and GIF generator mimicking old television static, offering control over colors, blur, dimensions, pixel size, and many more.
Last synced: 05 May 2026
https://github.com/sehgalnaval/olympics-data-analysis
I will be building an Olympics Data Analysis Web Application using Streamlit. For development, I will be using Python and Pandas. For plotting, I will be using Seaborn and Plotly libraries. The project will also be deployed to Heroku.
heroku jupyter-notebook matplotlib numpy pandas pycharm python seaborn
Last synced: 11 Apr 2026
https://github.com/m-faizan-mahmood/detailed-exploratory-data-analysis-eda-marketing-recomendations.
This project focuses on cleaning, preprocessing, and analyzing data using Pandas and NumPy. Key steps include handling missing values, removing outliers, feature engineering, and exploratory data analysis (EDA). Visualizations with Matplotlib and Seaborn highlight trends in customer spending, campaign performance, and product sales.
big-data data-analysis data-processing data-science eda exploratory-data-analysis numpy pandas python
Last synced: 11 Apr 2026
https://github.com/cr-mao/machine-learning
机器学习笔记
data-analysis data-handling machine-learning math numpy pandas
Last synced: 12 Nov 2025
https://github.com/afif-af/python-code
Basic python practice code,
computer-vision deep-learning keras machine-learning matplotlib natural-language-processing nlp nltk numpy pandas python pytorch scikit-learn tensorflow
Last synced: 11 Apr 2026
https://github.com/luizcalaca/deep-learning
Códigos de Machine e Deep Learning
azure colab-notebook colaboratory convolutional-neural-networks deep-learning hog-features-extraction knn-classification neural-network notebooks numpy perceptron python rnn sklearn tensorflow
Last synced: 10 Apr 2026
https://github.com/hossein-cod/deep-learning-for-training
Analysi hear disease data set with deep learning
accuracy chart jupyter keras matplotlib numpy pandas py python sklearn tensorflow
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https://github.com/hamdaniqhmqd/kelompok6-sistem-cerdas-bbri
Repository group6-system-smart-bbri is a group assignment project that uses Streamlit, scikit-learn, and related technologies to build a BBRI stock price prediction application based on day, week, and month input.
data-visualization numpy pandas python sklearn streamlit
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https://github.com/aahnik/gdsc-ml-ds-bootcamp-2023
This repo contains files given by my seniors as well as assignments and final project done by me during the bootcamp.
data-science machine-learning ml numpy pandas python3 scikit-learn
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https://github.com/en10/bostonhousing
Boston Housing Dataset Example
boston-housing-dataset boston-housing-price-prediction matplotlib numpy pandas pandas-dataframe python python3 sklearn
Last synced: 12 Apr 2026
https://github.com/htlinh0604/invoice-data-extraction
This project demonstrates a classic OCR pipeline. This Flask app takes an image, applies an OpenCV preprocessing pipeline, and uses Tesseract OCR to digitize Vietnamese invoices (Bách Hóa Xanh)..
flask numpy ocr-recognition opencv pandas python regex tesseract-ocr
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https://github.com/salmandeveloperz/ml_house_prediction
project for house price prediction using Classification & Regression models. Includes Docker setup for easy deployment.
classification-model clustering deep-learning machine-learning matplotlib numpy pandas python3 regression-models scikit-learn
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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.
jupyter-notebook machine-learning movie-recommendation movielens-dataset numpy pandas python regex scikit-learn tf-idf-vectorizer
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https://github.com/narenkhatwani/arkouda-projects
This repository contains the source codes of the projects done using Arkouda (a software package that allows a user to interactively issue massive parallel computations on distributed data using functions and syntax that mimic NumPy, the underlying computational library used in most Python data science workflows.)
arkouda data-analysis data-analytics data-science high-performance high-performance-computing highperformancecomputing numpy pandas parallel-computing parallel-processing parallelization python
Last synced: 17 Apr 2026
https://github.com/hansalemaos/permutation_no_repetition
Permutation without repetition - written in Cython - for Numpy
cython data-science no-repetitions numpy pandas permutations
Last synced: 14 Jan 2026
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.
kagglehub keras numpy pandas scikit-learn streamlit tensorflow vgg16-model
Last synced: 13 Apr 2026
https://github.com/yashika-malhotra/micromobility-service-provider---hypothesis-testing
Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts
colab-notebook data-visualization eda exploratory-data-analysis hypothesis-testing jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-library scipy-stats seaborn skit-learn
Last synced: 12 Apr 2026
https://github.com/lolosoares/dataanalises
This repository shows my projects made in my journey learning about data analises, ciency, engeniering and ML.
acces data-science dax excel mysql numpy pandas powerbi powerquery python r seaborn sql vba
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https://github.com/ayuhamaro/py_weight_estimation
體重變化預估
matplotlib numpy pandas python3 scikit-learn scipy
Last synced: 12 Apr 2026
https://github.com/quentinwidlocher/cours-python-pandas
Jupyter Lab sur le traitement des données en python
jupyter-lab matplotlib numpy pandas python
Last synced: 13 Apr 2026
https://github.com/serratotech/python3-for-finance
Investment fundamentals & data analytics exercises
anaconda conda data-analytics finance ipynb jupyter-notebook numpy pandas python python3 python35
Last synced: 12 Apr 2026
https://github.com/sarincr/introduction-to-pyqt5
PyQt5 is a comprehensive set of Python bindings for Qt v5. Qt is set of cross-platform Python libraries that implement high-level APIs for accessing many aspects of modern desktop and mobile systems.
app appdevelopment data-science kivy kivymd machine-learning numpy opengl pygui pyqt pyqt5 pyqt5-desktop-application pyqt6 pyside2 scipy tensorflow tkinter tkinter-graphic-interface tkinter-gui tkinter-python
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https://github.com/moinak-majumdar/fake-currency-detection
Indian fake currency detecting mobile application.
cnn deep-learning flutter getx keras machine-learning mobile-app neural-network numpy random-forest scikit-learn support-vector-machines tensorflow
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https://github.com/nikita-data/eda_projects
Exploratory data analysis projects
cac data-analysis data-visualization eda folium-maps hypothesis-testing ltv math matplotlib numpy plotly python regular roi scipy seaborn segmentation statistics unit-economics
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https://github.com/octcarp-courses/sustech_cs303-ai_f23_works
(49.8/50) Course code of CS303 2023 Fall: Artificial Intelligence, SUSTech. Taught by Prof. Ke TANG.
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https://github.com/nikita-data/unit_economics_projects
unit economics & cohort analysis projects
cac churn-rate conversion create-function data-analysis data-visualization eda hypothesis-testing ltv math matplotlib numpy python retention-rate roi scipy seaborn segmentation statistics unit-economics
Last synced: 06 Jan 2026
https://github.com/takkii/pylean
Data analysis ( 🐍 💎 📈 )
analayze matplotlib numpy pandas python scikit-learn
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https://github.com/mrtarantoga/mdl-density-histogram
Cython-accelerated MDL histogram density estimation. Implements Kontkanen & Myllymaki's dynamic programming algorithm for optimal variable-width bins, parametric complexity with Ramanujan approximations, and automatic bin count selection. Based on "MDL Histogram Density Estimation" (JMLR 2007).
cython-library mdl numpy pypi-package python3
Last synced: 30 Nov 2025
https://github.com/tom-mohr/clevertable
Consistent, intelligent transformation of text-based tabular data into numerical data.
conversion data-science numpy pandas python
Last synced: 06 May 2026
https://github.com/rooneyrulz/movie-recommender-system
Movie recommendation system using Machine learning
cosine-similarity jupyer-notebook machine-learning movie-recomendation-system numpy pandas python3 recomender-system vectorization
Last synced: 11 Apr 2026