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An open API service indexing awesome lists of open source software.

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.

https://github.com/msthamizh/bizcardx-extracting-business-card-data-with-ocr

Developing a Streamlit application that enables users to upload business card images and extract key details using easyOCR. The app allows users to manage the extracted data (view, update, delete) and securely stores it in a MySQL database. It also highlights extracted text directly on the business card image using Pillow.

easyocr mysql numpy pandas pillow python regular-expression streamlit

Last synced: 30 Dec 2025

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/zazi2002/machine-learning-project

Introduction to Machine Learning project with the goal of improving the classification performance on a dataset by optimizing the number of features and weak learners.

dimentionality-reduction ensemble-learning numpy pca random-forest scikit-learn

Last synced: 09 Oct 2025

https://github.com/cosama/vasapy

Vectorized Associative Arrays for Python

associative-array associative-map dictionary numpy python vectorized

Last synced: 09 Oct 2025

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/gauravsakure02/project_titanic_eda

This Project includes Exploratory Data Analysis of the Titanic Dataset

eda numpy pandas-dataframe sklearn-library

Last synced: 14 Oct 2025

https://github.com/sultanazhari/credit-scoring

A bank Company Wants to Analize their customer borrower defaults. as a Analyst we're giving the report of category and classification that have a big probability as a customer borrower default.

lending-bank numpy pandas phyton3 probability reporting

Last synced: 15 Oct 2025

https://github.com/jesussantana/ibm-python-for-data-science-py0101en

This introduction to Python will kickstart your learning of Python for data science, as well as programming in general.

data-science numpy pandas python

Last synced: 15 Oct 2025

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: 15 Oct 2025

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: 16 Oct 2025

https://github.com/peterfication/num-peek

A CLI tool to peek into *.npy files

cli numpy python rust

Last synced: 20 Jan 2026

https://github.com/evardnk/dataanalyticsportfolio

Собрание моих проектов по аналитике данных

api automation data-analysis etl-pipeline jupyter-notebook jupyterlab kpis numpy pandas pipeline postgresql powerbi python sql visualization

Last synced: 10 Oct 2025

https://github.com/mgobeaalcoba/datacademy

Iré subiendo los distintos desafíos del reto de Platzi llamado Datacademy

anaconda deepnote google-colab jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 18 Oct 2025

https://github.com/dimatura/imgutils

Miscellaneous Numpy and PIL utilities for images.

image numpy pil pillow python

Last synced: 19 Jan 2026

https://github.com/faisal-khann/comprehensive_banking_portfolio

This analysis explores the banking customer dataset to uncover key patterns in account holdings, loan portfolios, income profiles, and transactional behavior. By integrating both financial and demographic variables, we examine customer engagement, lending trends, and risk exposure across different segments.

data-manipulation eda matplotlib numpy pandas powerbi python seaborn

Last synced: 08 Oct 2025

https://github.com/gauravsakure02/python_libraries

Data Analysis using Python libraries

matplotlib numpy pandas-library streamlit

Last synced: 10 Oct 2025

https://github.com/gandhasiri-rahul-mohan/association-rules-q1-books

Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots

apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-machine-learning

Last synced: 10 Oct 2025

https://github.com/hansalemaos/numba_aot_compiler

A function to facilitate the Ahead-of-time compilation with Numba

aheadoftime aot compile numba numpy pyd

Last synced: 23 Jan 2026

https://github.com/nissanjk/linear-solver

A Python desktop application to solve systems of linear equations using various numerical methods.

anaconda3 fpdf imageio matplotlib numpy python3 tkinter

Last synced: 23 Oct 2025

https://github.com/rishraks/color-object-detection

This project enables real-time detection of user-defined color objects using a webcam. Users enter a color name, and the program identifies objects matching that color by converting it to its HSV range, applying a mask, and detecting contours. It's a practical tool for object tracking, sorting, and interactive applications.

computer-vision numpy opencv pillow-library

Last synced: 08 Apr 2025

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: 24 Oct 2025

https://github.com/vaibhav-kesarwani/online_payment_fraud_detection

🔒💳 𝗢𝗻𝗹𝗶𝗻𝗲 𝗣𝗮𝘆𝗺𝗲𝗻𝘁 𝗙𝗿𝗮𝘂𝗱 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 is a data science project that uses machine learning to identify fraudulent transactions in online payment systems. The project analyzes transaction data to detect suspicious activity, helping to enhance security and reduce financial losses. 🚨📊

juypter-notebook kaggle-dataset numpy pandas plotly python3 sklearn

Last synced: 24 Oct 2025

https://github.com/mikediessner/benchfuncs

Benchmark functions to test optimisation algorithms.

benchmark-functions numpy optimization test-functions

Last synced: 24 Oct 2025

https://github.com/MITHILESHK11/Steganography-App-Aicte-Internship-Cybersecurity-Edunet-Foundation

Secure Image Steganography App : This Streamlit-based Steganography App lets you securely encrypt and decrypt messages in images using the Least Significant Bit (LSB) technique. Messages remain invisible unless unlocked with the correct password.

hashlib numpy opencv3 python streamlit-webapp

Last synced: 24 Oct 2025

https://github.com/shreeparab1890/movie-recommender-system

This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.

bag-of-words cosine-similarity matplotlib numpy pandas python scikit-learn sklearn vectorization

Last synced: 30 Dec 2025

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/varun-khorgade/churnshield-customer-retention-predictor

Built an ML-based classification model to predict customer churn. Applied data preprocessing, feature engineering, and ensemble algorithms to improve prediction accuracy and help businesses implement retention strategies.

classification-algorithm datapreprocessing f1-score feature-engineering hyperparameter-tuning logistic-regression matplotlib model-evaluation numpy pandas python ran roc-auc scikit-learn seaborn xgboost

Last synced: 05 Oct 2025

https://github.com/yyhsong/ipydataanalysis

Python数据分析与展示

matplotlib numpy pandas scipy

Last synced: 12 Oct 2025

https://github.com/javierkaiser9/rgb-d_dual_input_machine_learning_model

This Demo presents a machine learning-based steering module for sidewalk navigation . Using a dual-input EfficientNetV2 model, it processes RGB-D data from an Intel RealSense D415 to classify sidewalk scenarios and generate real-time steering commands. Optimized with OpenVINO

efficientnet efficientnetv2 machine-learning numpy opencv openvino python3 realsense-camera tensorflow

Last synced: 12 Oct 2025

https://github.com/madhuresh2011/telco-customer-churn-analysis-using-python

The analysis primarily investigates factors influencing customer churn, particularly focusing on payment methods and contract types.

csv data-analysis matplotlib numpy pandas pyhton seaborn vizualisation

Last synced: 09 Oct 2025

https://github.com/g0r0kh/forecast

layouts statistical analys for forecasting

matplotlib numpy pandas

Last synced: 30 Jan 2026

https://github.com/ankushmallick1100/diabetes-prediction-of-females-using-maching-learning-techniques

This is a machine learning work that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LR with CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library.

classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier

Last synced: 30 Dec 2025

https://github.com/miasanromen/math-modeling

Math modeling with Python. Statistics, math, graphics

math matplotlib numpy probality-theory scipy-stats statistics

Last synced: 25 Oct 2025

https://github.com/mayankfreelancer/advanced-sales-analytics-dashboard-power-bi-

This interactive Power BI dashboard provides a comprehensive analysis of sales data across regions, categories, and time periods. The project aims to uncover key trends in total sales, profit, quantity sold, and product performance, using advanced visualizations and forecasting techniques. 🛠 Tools & Techniques Used: Power BI

dashboard data-science data-visualization excel numpy pandas powerbi python sales-analysis sql

Last synced: 25 Oct 2025

https://github.com/pushtogithub23/projectilemotion-simulation

This Jupyter notebook explores projectile motion through mathematics, visualizations, and interactive simulations.

jupyter-notebook matplotlib-pyplot numpy physics-simulation projectile-motion-simulation

Last synced: 28 Jan 2026

https://github.com/shakhthi/mlproject

This project is an end-to-end ML solution that predicts math scores from student attributes. It starts with ingesting and preprocessing data, followed by feature engineering to pinpoint key predictors. A robust model is then trained and fine-tuned before being seamlessly deployed to deliver real-time predictions.

jupyter-notebook matplotlib-pyplot numpy pandas python3 seaborn sklearn

Last synced: 26 Oct 2025

https://github.com/raduldev/biopython

Biopython Record Work and few extra coding excercise

bioinformatics biopython gromacs jupyter-notebook matplotlib numpy pandas python3

Last synced: 26 Oct 2025

https://github.com/sonaligill/olympics-analysis

The outcome of this project is an interactive streamlit web application that visualizes the analysis of Olympic data while rendering different aspects of Olympic history, compare country performances, and gain insights into athlete demographics.

numpy plotly python scikit-learn scipy streamlit

Last synced: 28 Jan 2026

https://github.com/shohail-dev/python-sales-analysis

Python analysis project :- Analyze Diwali sales data to improve customer experience and sales .

matplotlib numpy pandas python-lambda python3 seaborn

Last synced: 26 Oct 2025

https://github.com/r-mahesh45/reccomendation-system

This project involves building a recommender system using cosine similarity to measure the similarity between items or users. It leverages numerical data to provide personalized recommendations. The model focuses on extracting meaningful insights and improving decision-making processes.

numpy pandas-dataframe python3 scikitlearn-machine-learning

Last synced: 27 Oct 2025

https://github.com/lorenzorottigni/ml-lending-club

Machine Learning python bootcamp: random forest classifier on LendingClub dataset

ipynb machine-learning numpy pandas python random-forest-classifier scikit-learn seaborn

Last synced: 27 Oct 2025

https://github.com/asut00/Machine-Learning-Program_42AI

Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.

linear-regression machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 27 Oct 2025

https://github.com/romerorodriguezd/homography-with-opencv

Homography operations applied to insert images inside others regardless of the perspective.

computer-vision homography matrices-transformation numpy opencv opencv-python

Last synced: 28 Oct 2025

https://github.com/shwetapardhi/assignment-03-q5--hypothesis-testing

Chi2 contengency independence test Q5. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis. Assume Null Hypothesis as Ho: Independence of categorical variables (% of

alternate-hypothesis chi2-contingency contingency-analysis hypothesis-testing null-hypothesis numpy pandas python scipy significance-testing stats

Last synced: 28 Jan 2026

https://github.com/subh888999/car-prices--analysis-projects

This repository houses projects focused on data collection, assessment, cleaning, visualization, and analysis. It includes workflows and methodologies for handling data, from initial gathering and evaluation to processing, visualizing insights, and performing in-depth analysis

jupyter-notebook matplotlib numpy panda seaborn statistics

Last synced: 29 Jan 2026

https://github.com/anshpg/exploration-in-image-processing-digit-image-generation

This project, developed by Anshuman Pattnaik, explores image processing techniques using Python libraries such as pandas, numpy, matplotlib, and cv2 (OpenCV). The primary objective of the project was to delve into image processing with a focus on creating a unique dataset and algorithm for image generation.

cv2 image-generation image-processing ipynb-jupyter-notebook matplotlib-pyplot numpy opencv pandas

Last synced: 01 Feb 2026

https://github.com/nits2612/data-science-projects

Portfolio of data science projects completed by me during PGP AI/ML, self learning, and hobby purposes.

data data-science dataanalysis deep deep-learning keras machine-learning matplotlib numpy opencv pandas python scikit-learn seaborn surprise-python tensorflow transfer-learning

Last synced: 01 Feb 2026

https://github.com/luizabash/wmap-tt-eda

EDA of the WMAP 5-Year TT Power Spectrum data, the analysis includes summary statistics, data visualization, polynomial regression for model fitting, and hypothesis testing

astrophysics matplotlib numpy pandas scipy

Last synced: 01 Feb 2026

https://github.com/sunilsm7/numpy-starter

IPython Notebook(s) demonstrating NumPy functionality.

numpy python

Last synced: 22 Aug 2025

https://github.com/jersonrn/termviewer3d

Interactive terminal environment that allows users to explore 3D models in real-time.

3d ascii cupy gpu linear-algebra numpy python

Last synced: 17 Mar 2025

https://github.com/seanvelasco/rt-pcr

Notes on working with RT-PCR data: processing and visualization

covid-19 matplotlib numpy rt-pcr

Last synced: 17 Mar 2025

https://github.com/shhiivvaam/regression

Linear Regression Model

linear-regression numpy python

Last synced: 26 Mar 2025

https://github.com/anujdutt9/language-model-using-rnn

Text Generation using basic RNN from scratch using Python and Numpy.

language-model numpy python rnn text-generation

Last synced: 01 Mar 2025

https://github.com/abdullah2020/hamoye_stageb

This is my Hamoye Stage B project. The project focuses on Predicting Energy Efficiency of Buildings. It implemented different Machine Learning algorithm technique that are not limited to Linear Regression, LASSO, Ridge etc.

eda lasso-regression linear-regression numpy pandas predictive-modeling regression-models ridge-regression rmse rsquare-values

Last synced: 26 Mar 2025

https://github.com/pereira-elizabeth/aah-2d-hermitian

Minimal 2D AAH model: build, diagonalize, and plot spectrum (NumPy/Matplotlib)

condensed-matter numpy physics scipy tight-binding

Last synced: 05 Oct 2025

https://github.com/als8446/tripleten-data-science-projects

Projects Overview Projects made in the Data Scientist course from TripleTen LatAm

data data-analysis hypothesis-tests machine matplotlib numpy pandas python scipy sklearn

Last synced: 05 Oct 2025

https://github.com/eshansugeesh/fico-score-loan-default-modeling-project

Credit risk assessment using FICO score segmentation, loan default modeling, discretization techniques, and log-likelihood evaluation for predictive analytics in financial services.

bucketing classification credit-risk customer-segmentation data-science discretization fico-score financial-analytics loan-analysis loan-default log-likelihood machine-learning numpy pandas predictive-modeling risk-modeling scikit-learn segmentation statistical-modelling

Last synced: 05 Oct 2025

https://github.com/youngermaster/coulomb-superposition-principle

Principio de Superposición de Coulomb y Ley de Biot-Savart

coulomb-law matplotlib numpy simulation

Last synced: 05 Oct 2025

https://github.com/nihanthbhargav/time-series-stock-market

This project combines computer vision and NLP by segmenting pet images with a U-Net model and generating captions using CNN-RNN/LSTM. Using the Oxford-IIIT Pets dataset, it demonstrates a unified pipeline that integrates pixel-level segmentation with automatic caption generation for meaningful image understanding.

matplotlib numpy pandas plotly python scikit-learn seaborn

Last synced: 30 Dec 2025

https://github.com/zuhairzia/titanic-survival-project

This is a Titanic Survival Prediction Model developed using Python, Pandas, Scikit-learn, and Jupyter Notebook. The model predicts whether a passenger survived the Titanic disaster based on features such as age, gender, and passenger class.

csv-dataset flask jupyter-notebook matplotlib numpy pandas pandas-library python scikit-learn seaborn streamlit

Last synced: 05 Oct 2025

https://github.com/elvisrock/government_analysis

Esse projeto, tem como objetivo, analisar, explorar algumas técnicas e propor uma sugestão ao governo de forma geral, sem qualquer viés politico.

data-science machine-learning numpy pandas python sklearn

Last synced: 30 Dec 2025

https://github.com/florianwoelki/salary_linear_regression

This project is for salary prediction using linear regression without any machine learning library.

jupyter linear-regression machine-learning matplotlib numpy pandas python regression

Last synced: 05 Oct 2025

https://github.com/akhil-krishnan-r/super_market_analysis

The growth of supermarkets in most populated cities are increasing and market competitions are also high. This dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this dataset

data-visualization matplotlib numpy pandas seaborn

Last synced: 06 Oct 2025

https://github.com/sweta-kaundilya/finance-data-project

This data project focuses on exploratory data analysis of bank stock prices throughout financial crisis all the way to early 2016.

financial-analysis jupyter-notebook matplotlib numpy pandas-python seaborn

Last synced: 06 Oct 2025

https://github.com/mehediehteshum/minesweeper

Building classic 'Minesweeper' game from scratch using Pygame with VS Code.

numpy pygame python python3

Last synced: 06 Oct 2025

https://github.com/dr-rompecabezas/page-view-time-series-visualizer

A data science project built as part of the freeCodeCamp curriculum.

matplotlib numpy pandas python seaborn

Last synced: 06 Oct 2025

https://github.com/mani-prakash-n-r/stock_market_prediction_system

This project uses LSTM networks to predict stock prices based on historical data, providing insights for informed investment decisions..LSTM, NumPy, Scikit-Learn, Matplotlib, yfinance and TensorFlow

lstm matplotlib numpy python sckiit-learn tensorflow yfinance

Last synced: 17 Jan 2026

https://github.com/shwetapardhi/assignment-1-q9_b--basic-statistics-level-1

Q9) Calculate Skewness, Kurtosis & draw inferences on the following data SP and Weight(WT) Use Q9_b.csv

kurtosis matplotlib-pyplot numpy pandas python seaborn skewness

Last synced: 07 Oct 2025

https://github.com/sudharshan-bathini/chat-bot-using-cornell-movie-data-set

Developed an AI chatbot using the Cornell Movie Dialogs dataset; trained an LSTM-based model to generate context-aware, conversational responses for user inputs.

keras lstm-sentiment-analysis neural-networks nlp numpy python tensorflow tokenizer

Last synced: 30 Dec 2025

https://github.com/brendandasilva/applieddatascience

4 projects from Applied Data Science

data-science numpy pandas python

Last synced: 07 Oct 2025

https://github.com/alfastrek/textinsight-pro

Webscraper with Natural Language Processing

beautifulsoup jupyter-notebook nltk numpy pandas python webscraping

Last synced: 07 Oct 2025

https://github.com/christabelsakyi/tsec

This project implements a time series forecasting solution for predicting electricity consumption based on historical data. It provides multiple model options, a Flask API for deployment, and visualization tools.

facebook numpy pandas python sklearn time-series-analysis

Last synced: 07 Oct 2025

https://github.com/christabelsakyi/employee_attrition_prediction

This project implements a machine learning pipeline for predicting employee attrition using HR data. The system analyzes various factors that contribute to employee turnover and provides predictions to help HR departments take preventive measures.

machine-learning numpy pandas plotly python sklearn streamlit

Last synced: 30 Dec 2025

https://github.com/sanjaiveeran44/shopping-intent-analasys

This project predicts whether a visitor to an e-commerce website will make a purchase based on their browsing behavior. It includes data analysis, preprocessing, and machine learning modeling to understand online shopping patterns.

matplotlib matplotlib-pyplot numpy pandas python3 sklearn tensorflow

Last synced: 07 Oct 2025

https://github.com/christabelsakyi/sentiment_analysis

This project involves analyzing customer reviews to classify them as positive or negative using Logistic Regression. The workflow includes text preprocessing, feature extraction, training a model, making predictions, and evaluating its performance. Dataset

imblearn machine-learning nltk numpy python sklearn

Last synced: 07 Oct 2025

https://github.com/nimaabediforud/heart-disease-prediction

The project highlights the end-to-end workflow of data preprocessing, model building, evaluation, and comparison for a healthcare prediction task.

biomedical-applications biomedical-data-science biomedical-engineering classification deep-learning machine-learning neural-networks numpy pandas prediction python seaborn sklearn tensorflow

Last synced: 07 Oct 2025

https://github.com/zolppy/recommendation-system

This project demonstrates the creation of a content-based image recommendation system. It leverages a pre-trained VGG16 deep learning model to extract meaningful feature vectors from images. These features are then compared using cosine similarity to identify and recommend visually similar images.

computer-vision deep-learning keras machine-learning numpy recommendation-system sklearn tensorflow vgg16

Last synced: 28 Oct 2025

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