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: 2026-06-25 00:18:02 UTC
- JSON Representation
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/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
Last synced: 12 Apr 2026
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/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
Last synced: 28 Oct 2025
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
Last synced: 03 Apr 2025
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/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
Last synced: 12 Apr 2026
https://github.com/linggarm/smart-caloriemax
A web app that utilizes Genetic Algorithms to generate a list of foods offering maximum calorie content within a specified budget.
artificial-intelligence css evolutionary-algorithms flask genetic-algorithms html javascript knapsack-problem machine-learning numpy python
Last synced: 12 Apr 2026
https://github.com/esvs2202/credit-card-fraud-detection-system
This fraud detection system is powered by a Machine Learning model, which accurately identifies whether an initiated transaction is fraudulent.
azurewebapp flask gunicorn-web-server html-css machine-learning matplotlib-pyplot numpy pandas powerbi python3 randomforestclassifier seaborn
Last synced: 12 Apr 2026
https://github.com/ngirimana/ml_knn
Welcome to the KNN Project! This will be a simple project very similar to the lecture, except you'll be given another data set. Go ahead and just follow the directions below.
artificial-intelligence knn-algorithm knn-classification knn-classifier machine-learning matplotlib numpy pandas python3 searbon
Last synced: 12 Apr 2026
https://github.com/anish202020/weather_prediction_model_21int68_internship
Predicts weather using data analysis and machine learning neural networks. The project reads data from a CSV file, processes it, trains a neural network, and visualizes the results.
keras-neural-networks keras-tensorflow matplotlib numpy pandas sklearn
Last synced: 12 Apr 2026
https://github.com/gracysapra/pandas-numpy-data-visualisation
This repository contains essential Python scripts and notebooks for data analysis and visualization. It includes: pandas: Data manipulation and analysis, including operations on series and dataframes. NumPy: Efficient numerical computations and array processing. Data Visualization: Creating insightful visualizations using Matplotlib and Seaborn.
data-science data-visualization matplotlib numpy numpy-arrays pandas pandas-dataframe pandas-series seaborn
Last synced: 07 May 2026
https://github.com/prashver/stock-price-prediction-lstm
Using Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM), this project predicts Nestle India stock prices. The dataset spans from May 18, 2018 to May 20, 2022, and results are visualized using matplotlib.
keras lstm-model matplotlib numpy pandas recurrent-neural-network
Last synced: 12 Apr 2026
https://github.com/kavayk29/quora-duplicate-question-pair
This project improves information retrieval by detecting duplicate question pairs in the Quora dataset using data exploration, text preprocessing, feature engineering, and models like Random Forest and LSTM, aiming to streamline question-answering.
beautifulsoup4 bilstm gensim keras lstm matplotlib numpy pandas pytorch random-forest seaborn sklearn tensorflow xgboost
Last synced: 21 Jan 2026
https://github.com/dhruvsrikanth/pynn
Purely NumPy based API for building deep neural networks.
deep-learning deep-learning-framework machine-learning numpy python pytorch
Last synced: 09 May 2026
https://github.com/datarohit/nlp-course-files
The files in this Repo are files for the online NLP-Course from Udemy.com which I completed.
nlp nlp-machine-learning nltk numpy panda python sklearn spacy
Last synced: 12 Apr 2026
https://github.com/datarohit/garbage-image-classification
This is Garbage Image Classification End-To-End Project built using Python and Streamlit.
cnn-classification cnn-keras inceptionv3 keras-tensorflow matplotlib numpy
Last synced: 30 Apr 2026
https://github.com/felixsoderstrom/perceptron-for-ocr
Training an AI model to recognize handwritten digits
ai backpropagation machine-learning neural-network numpy pytorch
Last synced: 23 Apr 2025
https://github.com/pranav-bot/ml-dl-models-from-scratch
This contains the most commonly used machine learning and deep learning models written from scratch without the use if any libraries except Numpy which is used for calculations
deep-learning descion-tree from-scratch linear-regression logistic-regression machine-learning naive-bayes neural-networks numpy perceptron pytorch qlearning random-forest regression reinforcement-learning support-vector-machines svm
Last synced: 15 Apr 2026
https://github.com/zainashrafofficial/ml_project_2024
A machine learning semester project of university, implementing classification and regression models to predict house prices & number of rooms using a dataset with over 160,000 entries.
ai ann artificial-neural-networks classification decision-trees jupyter-notebook linear-regression logistic-regression matplotlib ml numpy pandas python random-forest regression-models svm tensorflow
Last synced: 13 Apr 2026
https://github.com/nazli-d/binary-classification-using-cnn
This project utilizes a CNN model to classify cat and dog images through training and testing processes. The model is created using the Keras library on the TensorFlow backend.
binary-classification cat-and-dog-classifier cnn convolutional-neural-networks flatten keras max-pooling numpy opencv python relu-activation sigmoid-function tensorflow
Last synced: 13 Apr 2026
https://github.com/vvipjain/stock-trend-analysis
Stock Trend Analysis
matplotlib numpy numpy-arrays numpy-library pandas pandas-dataframe pandas-library pandas-python pyhton3 python seaborn
Last synced: 13 Apr 2026
https://github.com/harmanveer-2546/supply-chain
Supply chain analytics is a valuable part of data-driven decision-making in various industries such as manufacturing, retail, healthcare, and logistics. It is the process of collecting, analyzing and interpreting data related to the movement of products and services from suppliers to customers.
customer-segmentation-analysis data data-analysis data-cleaning data-insights ggplot2 numpy pandas performance-evaluation predictive-analytics-for-business python risk-assessment sales-analysis statistical-analysis supply-chain tidyverse trend-analysis
Last synced: 10 Apr 2026
https://github.com/tansudasli/analytics-sandbox
from Statistical approach to Machine learning
feature-engineering machine-learning matplotlib numpy opencv pandas probability regex scikit-learn seaborn statistics
Last synced: 13 Apr 2026
https://github.com/akash-rajak/image-noise-remover
Python Script to remove noise from image.
cv2 image-noise-remover numpy os python3 random tkinter
Last synced: 28 Apr 2026
https://github.com/mtgsoftworks/blink-detecion-player
It is a software that has the ability to stop and play the videos watched on youtube and rewind when the eyes of this software are closed and opened.
dlib numpy opencv-python python3 scipy selenium-webdriver
Last synced: 13 Apr 2026
https://github.com/muhammad-fiaz/gpt
A simple implementation based on the "Attention is All You Need" paper, using GPT-2 for text generation.
attention-is-all-you-need gpt gpt-2 gpt-3 gpt-implementation gpt-using-pytorch gpt2 numpy open-source paper-implementations python pytorch pytorch-implementation
Last synced: 13 Apr 2026
https://github.com/iv4n-ga6l/Realtime-Car-Traffic-Tracking
Realtime car traffic tracking using yolov8 model
cartracking numpy opencv python ultralytics yolov8 yolov8n
Last synced: 28 Apr 2025
https://github.com/iv4n-ga6l/OpenPose-Prediction
Person's body parts or joint position detection using openCV
detection numpy opencv prediction prediction-model python
Last synced: 28 Apr 2025
https://github.com/ngirimana/decision-trees-and-random-forest-
For this project we will be exploring publicly available data from [LendingClub.com](www.lendingclub.com). Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this. Lending club had a [very interesting year in 2016](https://en.wikipedia.org/wiki/Lending_Club#2016), so let's check out some of their data and keep the context in mind. This data is from before they even went public. We will use lending data from 2007-2010 and be trying to classify and predict whether or not the borrower paid back their loan in full. You can download the data from [here](https://www.lendingclub.com/info/download-data.action) or just use the csv already provided. It's recommended you use the csv provided as it has been cleaned of NA values. Here are what the columns represent: * credit.policy: 1 if the customer meets the credit underwriting criteria of LendingClub.com, and 0 otherwise. * purpose: The purpose of the loan (takes values "credit_card", "debt_consolidation", "educational", "major_purchase", "small_business", and "all_other"). * int.rate: The interest rate of the loan, as a proportion (a rate of 11% would be stored as 0.11). Borrowers judged by LendingClub.com to be more risky are assigned higher interest rates. * installment: The monthly installments owed by the borrower if the loan is funded. * log.annual.inc: The natural log of the self-reported annual income of the borrower. * dti: The debt-to-income ratio of the borrower (amount of debt divided by annual income). * fico: The FICO credit score of the borrower. * days.with.cr.line: The number of days the borrower has had a credit line. * revol.bal: The borrower's revolving balance (amount unpaid at the end of the credit card billing cycle). * revol.util: The borrower's revolving line utilization rate (the amount of the credit line used relative to total credit available). * inq.last.6mths: The borrower's number of inquiries by creditors in the last 6 months. * delinq.2yrs: The number of times the borrower had been 30+ days past due on a payment in the past 2 years. * pub.rec: The borrower's number of derogatory public records (bankruptcy filings, tax liens, or judgments).
artificial-intelligence decision-tree-classifier machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn
Last synced: 11 Apr 2026
https://github.com/leabrodyheine/water-pump-status-prediction
This project implements machine learning models to predict the status of water pumps in Tanzania using data from DrivenData's competition. The project includes preprocessing steps, model evaluation using cross-validation, and hyperparameter optimization with Optuna.
argparse cross-validation gradient-boosting-classifier logistic-regression machine-learning multilayer-perceptron numpy optuna pandas random-forest-classifier scikit-learn
Last synced: 11 Apr 2026
https://github.com/shibam120302/plant_deseases_prediction
Plant disease forecasting is a management system used to predict the occurrence or change in severity of plant diseases. At the field scale, these systems are used by growers to make economic decisions about disease treatments for control.
Last synced: 13 Apr 2026
https://github.com/juanpablo70/pgad-nba-prediction-project
Programming for Data Analysis from Open Data Sources
data-science jupyter-notebook matplotlib mysql numpy pandas pymysql python scipy seaburn sqlalchemy
Last synced: 13 Apr 2026
https://github.com/anvesham/machinelearning_models_using_matlab
Stepwise Multiple Linear Regression (With Interactions) and Random Forest Regression on predicting the Productivity of the Garment Factory Workers
bagging-ensemble bayesian-optimization decision-trees jupyter-notebook machine-learning matlab multiple-linear-regression-model numpy python random-forest-regression
Last synced: 11 Apr 2026
https://github.com/sorna-fast/car-price-prediction-exercise-with-regression-model
Car price forecasting with one-variable, two-variable, three-variable, lasso, ridge, and elastic regression models
elastic-net grid-search-hyperparameters jupyter-notebook lasso-regression matplotlib numpy pandas pandas-dataframe pandas-python plotly regression regression-models ridge-regression
Last synced: 16 Mar 2025
https://github.com/aarryasutar/credit_eda
This project focuses on cleaning and analyzing a loan application dataset to gain insights into the factors influencing loan defaults. Through systematic data cleaning, visualization, and merging with previous application data, it provides a robust foundation for further predictive modeling.
binning boxplot correlation-matrix data-cleaning data-splitting dataframe feature-engineering heatmap jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 13 Apr 2026
https://github.com/epsoft/fingerprint-feature-extraction-master
Fingerprint Feature Extraction master
cv2 extraction farsi feature fingerprint iran master math morphology numpy persian skimage square
Last synced: 21 May 2026
https://github.com/uea-geral/rna-perceptron-exercise
🤖Disciplina de RNA: treinamento de um neurônio Perceptron.
jupyter-notebook neural-network numpy perceptron python scikit-learn
Last synced: 13 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
Last synced: 13 Apr 2026
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
Last synced: 01 Mar 2025
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
Last synced: 30 May 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
Last synced: 13 Apr 2026
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
Last synced: 05 Feb 2026
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
Last synced: 11 Apr 2026
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
Last synced: 13 Apr 2026
https://github.com/itancio/realestateprice
This is an application of deep learning to train and predict real estate price dataset in King County, USA.
datat-visualization machine-learning numpy pandas python seaborn
Last synced: 09 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/fiercex/toynn
Python实现神经网络
mnist-classification neural-network numpy python
Last synced: 15 May 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/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/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/takkii/pylean
Data analysis ( 🐍 💎 📈 )
analayze matplotlib numpy pandas python scikit-learn
Last synced: 09 Sep 2025
https://github.com/programmer-rd-ai/moviedatascraper
Explore the cinematic universe with our IMDb web scraping project! Dive into movie data with ease, uncovering insights from cast to critical reviews. With dynamic visualizations and reliable data, let's journey through the world of movies like never before. Lights, camera, analysis!
beautifulsoup beautifulsoup4 data data-analysis jupyter-notebook matplotlib numpy pandas programming python python3 scraping seaborn software web
Last synced: 01 Mar 2025
https://github.com/programmer-rd-ai/dimensionality-reduction
DimRed is a comprehensive Python toolkit for advanced dimensionality reduction, integrating with major machine learning libraries and featuring real-time performance monitoring to enhance data analysis and model efficiency.
analytics data-analysis data-science lightgbm machine-learning matplotlib numpy pandas programming python python3 sklearn university xgboost
Last synced: 01 Mar 2025
https://github.com/21aja/house_price_prediction_revised_project
House price prediction using ML with Decision Tree Regressor achieving 100% accuracy. Preprocessing, EDA, and model evaluation applied using Python, Pandas, NumPy, Scikit-learn, and XGBoost for data-driven insights.
decision-tree-classifier linear-regression numpy pandas xgboost
Last synced: 13 Apr 2026
https://github.com/codewitheshayoutube/corvit_python_data_analytics_course
I teach Python & Data Analytics at Corvit Systems. This repository contains all course materials, including code, assignments, projects, and resources. ⭐ Stay updated!
matplotlib numpy pandas python python3 scikitlearn-machine-learning seaborn
Last synced: 13 Apr 2026
https://github.com/luluw8071/neural-network-from-scratch-using-numpy
A linear neural network from scratch using Numpy for training MNIST Dataset
deep-neural-networks digit-recognition-mnist mnist-classification neural-network-from-scratch numpy python
Last synced: 15 May 2026
https://github.com/clayrisser/math-playground
Personal math playground
graph math matplotlib numpy playground python
Last synced: 26 Apr 2026
https://github.com/hokagem/byakuganvisualizer
The ByakuganVisualizer repository hosts a Python tool designed to compare images and highlight their differences. It simplifies the process of identifying disparities between images, making it ideal for tasks like testing and quality assurance. Moreover, it offers a color filter that can be used to correct images for color-blind users.
color-blind color-correction colorblind image-manipulation numpy pillow
Last synced: 21 Jan 2026
https://github.com/fatma-moanes/deep-learning-labs
My implementation for the labs of the Neural Networks and Deep Learning course that I studied at my university, Zewail City.
classification cnn data-science deep-learning gan keras matplotlib neural-network-architectures neural-networks numpy pandas preprocessing python regression-models regularization seaborn tensorflow time-series-analysis
Last synced: 14 Apr 2026
https://github.com/smallgig/pickomino
Reinforcement Learning Environment with Gymnasium API
api ci coverage-testing gymnasium mypy numpy pip pre-commit pycharm pygame pylint pyright pytest pytest-cov python reinforcement-learning-environments ruff toml xenon
Last synced: 19 Jan 2026
https://github.com/shreeparab1890/flipkart-laptops-analysis-eda
This ipython notebook is the Exploratory data analysis (EDA) of the Laptops listed on Flipkart.
data-analysis eda exploratory-data-analysis matplotlib-pyplot numpy pandas plotly
Last synced: 14 Apr 2026
https://github.com/bursasha/deeplearningai-machine-learning-tensorflow-course
Projects and certificates from a machine learning course focused on TensorFlow and Keras, covering neural networks, CNNs, NLP, and time series analysis 🧠
convolutional-neural-networks deeplearning-ai keras machine-learning mlcourse natural-language-processing neural-networks numpy pandas python-machine-learning recurrent-neural-networks tensorflow
Last synced: 10 Apr 2026
https://github.com/rixiiz/using-knn-to-predict-the-obp-of-mlb-players
Using KNN to predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season
artificial-intelligence dataset f1-score jupyter-notebook knn-regression machine-learning matplotlib mse numpy pandas python scikit-learn supervised-learning
Last synced: 05 Apr 2026
https://github.com/ashishpatel8736/soq-solver-cramer
This project is a System of Equations Solver built using Cramer's Rule in Python with Streamlit. It allows users to input and solve systems of linear equations in real-time by visualizing them as matrices and generating solutions for variables 𝑥 , 𝑦 , 𝑧, etc.
Last synced: 14 Apr 2026
https://github.com/nirmalyabag20/loan-status-prediction-using-machine-learning
This project focuses on predicting the loan status (approved or not approved) based on various applicant details. The goal is to develop a machine learning model that accurately classifies whether a loan should be approved, helping financial institutions make informed lending decisions.
matplotlib numpy pandas python scikit-learn seaborn support-vector-machine
Last synced: 19 Jan 2026
https://github.com/nomadsdev/financial-trend-analyzer
FinancialTrendAnalyzer helps analyze and visualize sales data to uncover financial trends. It uses Python to calculate total sales, track changes, and generate insightful charts for better decision-making.
business-intelligence data-analysis data-visualization financial-analysis matplotlib numpy pandas python revenue-trends sales-data seaborn time-series-analysis
Last synced: 19 Jan 2026
https://github.com/omerkel/fractals
Rendering Fractals like Hilbert curves, Julia sets and Mandelbrot sets in various techniques.
fractals glsl-shaders hilbert-curve julia-sets jupyter-notebook mandelbrot-sets matplotlib numpy webgl-shader
Last synced: 13 May 2026
https://github.com/the-developer-306/house-price-predictor
House Price Predictor: Harnessing machine learning algorithms to forecast housing prices in Boston, empowering buyers and sellers with accurate predictions based on key factors like location, crime rate, rooms, accessibility, and more.
csv ipynb-jupyter-notebook joblib matplotlib numpy pandas python scikit-learn
Last synced: 23 Feb 2026
https://github.com/harmanveer-2546/heart-failure-prediction
Heart failure is a severe condition in which the heart is unable to pump blood effectively. Early prediction of heart failure can significantly improve patient outcomes. This project aims to build a predictive model using machine learning techniques to identify patients at risk of heart failure.
exploratory-data-analysis feature-engineering jupyter-notebook matplotlib model-training-and-evaluation numpy pandas python sckiit-learn seaborn visualization-of-results
Last synced: 14 Apr 2026
https://github.com/harmonicode/image-mixer
A PyQt5-based application for real-time image processing and reconstruction using frequency components like magnitude, phase, real, and imaginary parts. Adjust brightness and contrast, and mix images with ease.
fourier-transform image-processing numpy opencv pyqt5 python signal-processing
Last synced: 13 Mar 2026
https://github.com/faizantkhan/regression-project-bangalore-property-price-prediction
🏠 Bangalore Property Price Prediction is a comprehensive project designed to accurately predict property prices in Bangalore. Leveraging advanced regression techniques and a dataset sourced from Kaggle, the model undergoes meticulous feature engineering, data cleaning, and parameter tuning to ensure high accuracy.
backend-api css data-cleaning data-science data-visualization eda flask html javascript machine-learning-algorithms numpy pandas project project-repository property python regression-models server
Last synced: 14 Apr 2026
https://github.com/geson-anko/numpy_ndarray_msgs
A ROS2 package for transmitting NumPy ndarrays between ROS2 nodes.
Last synced: 23 Feb 2026
https://github.com/5hraddha/interconnect
Interconnect : Clients Churn Prediction using ML
decisiontreeclassifier dummyclassifier lgbmclassifier logisticregression matplotlib numpy ordinalencoder pandas randomforestclassifier scipy scipy-stats seaborn sklearn standardscaler
Last synced: 27 Jan 2026
https://github.com/4thel00z/numpy-serializer
numpy-serializer is a nice and high-level way to serialize numpy.arrays while preserving their shape and type.
bytes deserialization deserialize deserializer msgpack numpy raw serialize serializer serializers
Last synced: 27 Jan 2026
https://github.com/antoniotejada/imageviewer
Simple but featured image viewer, designed for speed when browsing network drives and on low power computers like Raspberry Pi 2
image-processing image-processing-python image-viewer image-viewing imageviewer irfanview linux linux-app lxde numpy pyqt pyqt5 python python2 python27 qt qt5 raspberry-pi raspbian windows
Last synced: 22 Jan 2026
https://github.com/l-johnston/microohm
SI unit system in Numpy as native dtype
Last synced: 24 Feb 2026
https://github.com/avinesh-masih/employee-report-generator
A Python-based tool that reads employee and purchase data from Excel, generates personalized PDF reports using FPDF, and organizes them into folders. Includes a progress bar for tracking report generation.
excel flask fpdf matplotlib numpy pandas python seaborn
Last synced: 03 May 2026
https://github.com/kavithma-thushal/machine-learning-room-gdse66
Welcome to the Machine Learning Room GDSE66 project! This resource is dedicated to exploring machine learning concepts, where we build and experiment with various models to solve real-world problems.
docker flask jinja2 jupyter-notebook numpy pandas python
Last synced: 14 Apr 2026
https://github.com/harikrishnan669/python
Basic Python programs and Try outs..
matplotlib numpy pandas python tkinter tkinter-gui
Last synced: 27 Jan 2026
https://github.com/brpy/100-prisoners-problem
Simulation of 100 Prisoners Problem using Python
numpy python simulation veritasium
Last synced: 14 Apr 2026
https://github.com/datarohit/end-to-end-machine-learning-projects
This repo contains multiple simple and complex End to End DataScience Projects crated using Python and Streamlit and hosted on Heroku and Streamlit.
heroku heroku-deployment machine-learning matplotlib numpy pandas python seaborn sklearn streamlit streamlit-webapp
Last synced: 14 Apr 2026
https://github.com/vochicong/ai-memo
Notebooks about machine learning (AI) math and tools
azure-notebooks colaboratory machine-learning math numpy
Last synced: 24 Feb 2026
https://github.com/shsiena/Evolutionary-Dots
A simple pygame genetic-algorithm project simulating evolution of dots to find a path around obstacles to a goal.
evolutionary-algorithm genetic-algorithm machine-learning mutation numpy pathfinding pygame python3
Last synced: 14 Oct 2025
https://github.com/vineet416/chronic-kidney-disease-prediction
This repository contain code of Chronic Kidney Disease Detection Prediction Project. The goal of this project is predict the chronic kidney disease using parameters like Diabetes Mellitus, Blood Urea, Sugar, Hypertension etc.. I used multiple machine learning algorithms with hyperparameter tuning which is having highest accuracy score of 97.5
data-visualization data-wrangling exploratory-data-analysis feature-engineering feature-selection hyperparameter-tuning machine-learning matplotlib numpy pandas plotly pre-processing python seaborn sklearn-library statsmodels
Last synced: 14 Apr 2026
https://github.com/MahiPonii/Hyperion_Sort
lz4 numba numpy pandas-python python python3 scipy sorting-algorithms tensorflow
Last synced: 15 Oct 2025
https://github.com/anfany/python3-practice
基于Python3的多种工具实例代码、以及流行库的使用贴士
matplotlib numpy pandas python3 tensorflow tips
Last synced: 04 May 2026
https://github.com/varshan1123/football-analysis
Designed a soccer analytics system using YOLOv11 for player and ball tracking, with team classification and real-world movement analysis, enabling precise speed and distance assessments. Integrated automated reporting to enhance data-driven decisions for coaches and analysts.
gemini-api kmeans-clustering numpy opencv ultralytics yolov11
Last synced: 02 May 2026
https://github.com/nemeslaszlo/loan-data-decision-tree-and-random-forest
This repository covers a "Lending Club" analysis with decision tree and random forest with data visualizations and exploration.
decesion-trees matplotlib numpy pandas random-forest seaborn sklearn
Last synced: 17 Apr 2026
https://github.com/dudynets/numerical-methods-labs-tkinter
Labs for Numerical Methods course at Ivan Franko Lviv National University.
interpolation labs linear-algebra matplotlib numerical-methods numpy python tkinter university
Last synced: 14 May 2026
https://github.com/kwanit1142/machine-learning-models-on-different-scenarios
Pattern Recognition and Machine Learning based Assignments and Labs, under Prof. Richa Singh in Course CSL2050.
deep-learning diabetes iris machine-learning matplotlib mlxtend mnist nltk numpy pandas pytorch regex seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/tynab/numpy
CyberSoft Data Analyst 08 - NumPy Basic
cybersoft cybersoft-academy cybersoft-academy-da cybersoft-academy-da-08 cybersoft-academy-data-analyst cybersoft-academy-data-analyst-08 cybersoft-da cybersoft-da-08 cybersoft-data-analyst cybersoft-data-analyst-08 da da-08 data-analyst data-analyst-08 jupyter-notebook matplotlib numpy pandas python yan
Last synced: 11 Feb 2026
https://github.com/mark0011astra/simplecuda
CUDAを使用したGPU演算をNumPyと同様のインターフェースで簡単行えるライブラリ。A library that allows users to easily perform GPU operations using CUDA with a NumPy-like interface.
cuda cupy gpu machine-learning numpy python vector
Last synced: 02 May 2026
https://github.com/akash-rajak/large-image-preview
Python Script to view large image using scroll bars.
cv2 large-image large-image-preview numpy python3 tkinter
Last synced: 04 May 2026
https://github.com/nirmalyabag20/breast-cancer-prediction-using-machine-learning
This project leverages machine learning to classify breast cancer as malignant or benign based on tumor characteristics. By applying and evaluating multiple algorithms, the model achieves high accuracy, demonstrating the practical application of data-driven solutions in medical diagnostics.
logistic-regression matplotlib numpy pandas python scikit-learn seaborn
Last synced: 12 Feb 2026