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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/AsuquoAA/CDC_2017_Immunization_Data_Analysis

This project analyzes data from the CDC's 2017 National Immunization Survey Public Use File (NISPUF17) to answer research questions about immunization, child health, and vaccine-related behaviors.

numpy

Last synced: 21 Jul 2025

https://github.com/riya2624/heart-disease-diagnostic-analysis

Analyzed heart disease diagnostic data through an ETL process, ensuring data accuracy and readiness for analysis using Python (Pandas, NumPy, Matplotlib, Seaborn). Conducted comprehensive exploratory data analysis (EDA) to uncover trends related to heart disease rates by gender and age. Developed interactive dashboards with Power BI and Tableau

dashboard dax-query eda machine-learning matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/purcellcjp/credit-risk-classification

This project utilized Python and scikit-learn libraries to train and evalute a Machinge Learning model based on loan risk.

machine-learning numpy pandas-dataframe python scikit-learn

Last synced: 12 Apr 2026

https://github.com/llwusill/firepredictioncnn

CNN kullanarak Orman Yangını Tahmin/Tespit Sistemi

matplotlib numpy opencv-python pandas sckiit-learn seaborn tensorflow

Last synced: 12 Apr 2026

https://github.com/devbigboy/php-crud-project

PHP-CRUD-Project

jupyter numpy pandas

Last synced: 20 Apr 2026

https://github.com/manoj-kumar-c/data_analyst_projects

Live Data Analyst Projects.

excel numpy pandas powerbi

Last synced: 07 Feb 2026

https://github.com/chandkund/iris-classification

Iris Classification project using machine learning to classify iris flowers into Setosa, Versicolour, and Virginica species. Includes data exploration, model training with SVM, Logistic Regression, and Decision Tree, and performance evaluation. Contributions welcome! Python, Pandas, Scikit-learn, Seaborn, Matplotlib.

machine-learning matplotlib-pyplot numpy pandas python sklearn

Last synced: 21 Jan 2026

https://github.com/pedasoft-consult/house-price-prediction

This project is a machine learning-powered web application for predicting house prices based on various features such as area, bedrooms, bathrooms, and more. It uses Flask for the backend and HTML/CSS/JavaScript for the frontend.

flask joblib matplotlib numpy pandas r2 random-forest regression seaborn sklearn

Last synced: 13 Apr 2026

https://github.com/bachboy0/montecarlo

Python-based Monte Carlo simulations for statistical analysis and modeling.

monte-carlo-methods numpy python

Last synced: 21 Apr 2026

https://github.com/dineshdhamodharan24/industrial-copper-modeling

It seems like you have a project that involves modeling industrial copper data using Python and several libraries such as pandas, numpy, and scikit-learn. This is a common and practical approach, as these libraries are widely used for data manipulation, analysis, and machine learning tasks.

bussiness-solution numpy pandas pickle pickle-file seaborn sklearn-library streamlit

Last synced: 13 Apr 2026

https://github.com/alphacrypto246/stock-price-movement-prediction

A project leveraging Polynomial Regression to predict stock price movements based on historical data. Includes data preprocessing, feature engineering, visualization, and model evaluation to provide insights for informed trading decisions.

machine-learning numpy pandas polynomial-regression scikit-learn yfinance

Last synced: 13 Apr 2026

https://github.com/ellennewerkla/apriori-analise_cesta_de_mercado

Análise de Cesta de Mercado (Market Basket Analysis) utilizando o algoritmo Apriori para identificar regras de associação entre produtos em um conjunto de transações de supermercado.

apriori-algorithm jupyternotebook marketbasketanalysis mathplotlib mba numpy pandas python3

Last synced: 13 Apr 2026

https://github.com/shahiakhilesh1304/fitbitcasestudy

This is a case study based on data retrieved from a Fitbit band, and we are making predictions about human behavior based on their mood.

case-study data-visualization fitbit jupyter-notebook numpy python3

Last synced: 13 Apr 2026

https://github.com/alinenog/desenvolve_gb_2022

Formação Desenvolve 2022 do Grupo Boticário na área de dados

data-analysis data-science googlesheet machine-learning numpy pandas python

Last synced: 13 Apr 2026

https://github.com/allanotieno254/pinecone-index-creation-vector-store-database-

This project demonstrates how to create an index in Pinecone, a vector database optimized for similarity search and machine learning applications. The notebook covers setting up a Pinecone client, creating an index, and managing vector data efficiently.

index jupyter-notebook numpy pinecone python

Last synced: 13 Apr 2026

https://github.com/mike014/soundbot

This Repository will contain the prototype of a ChatBot created for the playback of audio, or everything related to audio in the world of video games and not.

chatbot dsp nlp nlp-library nlp-machine-learning numpy python scipy sound-processing

Last synced: 13 Apr 2026

https://github.com/goessl/adjugate

A package for calculating submatricies, minors, adjugate- and cofactor matrices.

adjugate cofactor determinant inverse linear-algebra matrix minor numpy python submatrix

Last synced: 07 Jan 2026

https://github.com/athul64/tmdb-dataset-analysis

This data set contains information about 10,000 movies extracted from TMDB. The dataset contains movies from 1960 to 2015. Including user ratings and revenue. Original data from Kaggle.

data-visualization dataframe eda numpy pandas python

Last synced: 14 Apr 2026

https://github.com/murugavl/customer_churn_prediction

Customer churn prediction is a crucial task in business analytics, helping companies identify customers who are likely to leave and take preventive actions. This project utilizes Machine Learning (ML) techniques to analyze customer behavior and predict churn.

jupyter-notebook machine-learning matplotlib numpy pandas pickle python scikit-learn streamlit

Last synced: 13 Apr 2026

https://github.com/cezlul/analyse-ventes-immobilier

Solution ML d'analyse immobilière parisienne : classification automatique appartements vs commerces (K-means, 91%) et prédiction prix (régression, R²=0.98) sur 26K transactions. Valorise portefeuille 169M€ avec recommandations stratégiques data-driven.

data-analysis jupyter-notebook machine-learning matplotlib numpy pandas python sklearn

Last synced: 13 Apr 2026

https://github.com/samestrin/image-manipulation-api-digitalocean

A Python DigitalOcean App Platform based REST image manipulation API using Flask, NumPy, and OpenCV that runs in a Docker container.

api docker flask image image-processing numpy python python3 rest rest-api

Last synced: 13 Apr 2026

https://github.com/danhenriquex/data_science_and_machine_learning

A.I, Data Science & Machine Learning and Deep Learning with Tensorflow

deep-learning deep-neural-networks machine-learning matplotlib numpy pandas tensorflow

Last synced: 13 Apr 2026

https://github.com/chandkund/predicting-diabetes-onset

The "Predicting Diabetes Onset" project aims to build a machine learning model that predicts whether an individual has diabetes based on various health-related features. The dataset used for this project includes attributes related to medical history and physical measurements.

deep-learning numpy pandas python seaborn sklearn-library sklearn-metrics visualization

Last synced: 13 Apr 2026

https://github.com/anarya22/accenture-north-america-data-analytics-and-visualization-job-simulation-on-forage

Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture. Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions. Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.

analyzing-visualization data-cleaning data-visualization numpy pandas powerbi powerpoint-presentations

Last synced: 09 May 2026

https://github.com/pratyush905/farecast-nyc-taxifare-predictor

Machine learning models to predict nyc taxi fare based on given dataset

jupiter-notebook kaggle machine-learning matplotlib numpy python regression-models scikit-learn

Last synced: 13 Apr 2026

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: 13 Apr 2026

https://github.com/eesunmoon/aml_project

[Project] Analyzing Fitness Patterns & Building Predictive Models

matplotlib numpy pandas python3 recommender-system scikit-learn seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/tharushiimasha/python-practice

This repository contains Python programs and exercises from practice sessions. It covers Python basics, file handling, and libraries like NumPy and pandas for data manipulation.

api-integration csv-files file-handling json-files jupyter-notebook numpy oops-in-python pandas python web-scraping

Last synced: 13 Apr 2026

https://github.com/danaelshrbiny10/gold-prices

The Egypt Gold Prices project is a data analysis and visualization initiative that focuses on tracking and understanding the daily gold prices in Egyptian pounds per gram.

data-visualization docker docker-compose matplotlib mongodb numpy pandas powerbi python3 webscraping

Last synced: 13 Apr 2026

https://github.com/kizman-23/supervised_models

Classical prediction of future data using models trained by labeled data

numpy pandas scikit-learn supervised-machine-learning

Last synced: 13 Apr 2026

https://github.com/venkat-0706/accenture-hackathon

Developing an e-commerce recommendation system involves utilizing technologies such as Python for programming, Pandas for data manipulation, SQL for database management, FastAPI for building APIs, PostgreSQL for data storage, and Docker for containerization.

alembic api docker fastapi machinelearningalgorithms matplotlib numpy postgresql pydantic python3 scipy seaborn sqlmodel

Last synced: 13 Apr 2026

https://github.com/badranalyst/tips-dataset-analysis-dashboard-with-streamlit-and-plotly

Interactive Streamlit dashboard analyzing the Seaborn 'tips' dataset, which records information on restaurant bills, including total bill amounts, tips, customer demographics (e.g., gender, smoking status), and dining details (e.g., day, time). Visualized with Plotly for insights into tipping patterns.

data-analysis data-analytics data-visualization dataset eda exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas plotly python seaborn streamlit

Last synced: 13 Apr 2026

https://github.com/annygutierrez/bank-ann

Basic Artificial Neural Network

keras matplotlib numpy pandas sklearn

Last synced: 13 Apr 2026

https://github.com/fearless-spider/spideroptic-cli

Spider Optic CLI is a command line application.

cement cli cli-app command-line makefile numpy oanda pypi python

Last synced: 01 May 2026

https://github.com/somyaaaaaa2004/travelling-sales-man-problem

This project is a soft computing-based solution to the Traveling Salesman Problem (TSP) using a Genetic Algorithm (GA), implemented entirely from scratch in Python on Google Colab. The goal of the TSP is to find the shortest possible route that visits each city exactly once and returns to the starting point. It's a classic NP-hard combinatorial

genetic-algorithm jupyter-notebook matplotlib-pyplot numpy pandas python travelling-salesman-problem

Last synced: 06 May 2026

https://github.com/prowilliam/maze_generator

A maze generator is created where you can modify its dimensions and shows a red route where it describes the solution of the maze, and it is exported in png format

numpy pillow python

Last synced: 28 Apr 2026

https://github.com/shlok-nahar/mnist-cnn-classifier

This repository trains and evaluates three CNN models on MNIST, providing performance comparisons and 5 unique visualizations.

confusion-matrix graph heatmap-visualization json machine matplotlib mnist numpy precision-recall python receiver-operating-characteristic seaborn sklearn tensorflow

Last synced: 13 Apr 2026

https://github.com/paulo-santos-ds/machinelearninglogisticregression

A fraude de cartão de crédito é uma forma comum de fraude que afeta milhões de pessoas em todo o mundo. Essa fraude pode ter consequências graves, tanto para as vítimas quanto para as instituições financeiras que emitem os cartões de crédito.

math matplot numpy pandas python3 sklearn

Last synced: 13 Apr 2026

https://github.com/yuu-eguci/cognitive-services-trial

Try to play with Cognitive Services!! [Cognitive Services] [OpenCV] [Numpy]

cognitive-services dotenv numpy opencv-python pipenv python python3

Last synced: 05 Jul 2025

https://github.com/naveen88112/clustering_customer_invoice_data

Customer Invoice Data Clustering This project uses clustering methods on customer invoice data for segmentation analysis. It preprocesses data, normalizes features, and uses K-Means and DBSCAN to cluster customers according to spending habits and shared locations.

clustering data-preprocessing data-visualization numpy pandas python silhouette-score standardization

Last synced: 13 Apr 2026

https://github.com/mayankmittal29/algovision-statistical_methods_in_ai

Implementation of various machine learning algorithms from scratch, including Linear Regression, K-Nearest Neighbors, Decision Trees, and K-Means clustering. Also done EDA on data, Implemented LSH, IVF, SLIC algorithms also with evaluation metrics

decision-tree-classifier eda gradient-descent image-segmentation ivf knn-classification linear-regression lsh-implementation matplotlib-pyplot numpy pandas python3 seaborn sgd-optimizer sklearn slic-superpixel-algorithm

Last synced: 11 Apr 2026

https://github.com/bhanuprakashnani/scit-tasks

Tasks for the SCIT Work Shop.

numpy python3

Last synced: 25 Apr 2026

https://github.com/max134/deepplate

A custom-trained YOLOv11-based license plate detection with PaddleOCR for accurate ANPR.

computer-vision cv2 deep-learning image-recognition licesnse-plate-recognition numpy object-detection ocr paddleocr real-time-processing sqlite3 ultralytics yolov11

Last synced: 13 Jul 2025

https://github.com/animesh-chourey/loan-classifier

Trained machine learning algorithms (Logistic Regression, KNN, SVM, Decision Tree) specifically, after performing visualization and pre-preocessing tasks on a loan dataset. Executed the evaluation metrics such as F1-score, Log loss and jaccard-similarity score to assess the algorithms performance.

decision-tree f1-score jaccard-similarity knn logistic-regression logloss matplotlib numpy pandas preprocessing-data svm

Last synced: 06 May 2026

https://github.com/itshyphen/mass-mailing-script

A simple mass mailing script that sends personalized email to multiple emails importing from csv

numpy pandas python smtplib

Last synced: 13 Apr 2026

https://github.com/a-parida12/numericalmethods

Teaching Material for Workshop for Engineering Students

numpy ode pde python3

Last synced: 13 Apr 2026

https://github.com/tnleite/loan-approval-prediction

Este repositório apresenta um modelo preditivo de aprovação de empréstimos, focado em minimizar o risco de inadimplência. Utilizando EDA e algoritmos de machine learning (Random Forest, XGBoost), ajustamos o threshold para maximizar o recall de inadimplentes, contribuindo para uma gestão de riscos eficiente.

classification-algorithm data-science exploratory-data-analysis machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn scipy seaborn xgboost-classifier

Last synced: 13 Apr 2026

https://github.com/chandkund/wine-quality-prediction

This project predicts wine quality based on physicochemical properties using machine learning models. By leveraging Random Forest Classifier, Logistic Regression, and SVM, the goal is to classify wines into quality categories and uncover the key factors that influence wine quality.

logistic-regression matplotlib numpy pandas-python random-forest-classifier svm-classifier

Last synced: 01 May 2026

https://github.com/yipjunkai/pyvolr

Modern Black-Scholes-Merton pricing, Greeks, and implied volatility for Python. Rust core. Drop-in replacement for the abandoned py_vollib.

black-scholes black-scholes-merton greeks implied-volatility maturin numpy options options-pricing py-vollib pyo3 python quant quantitative-finance rust

Last synced: 30 May 2026

https://github.com/chmohit91/introduction-to-python

A comprehensive collection of Python programming resources, from basics to advanced concepts. Built for learners, by learners

matplotlib numpy pandas plotly python python-library python3 seaborn

Last synced: 13 Apr 2026

https://github.com/n1k1f0rm/ml-predicts

Place where you can find in transparent way how ML algos works

machine-learning ml numpy python

Last synced: 21 Apr 2026

https://github.com/dbriane208/python-for-data-science

Machine Learning and Data Science repository. Love crafting Machine Learning models.

data-analysis data-science data-visualization machine-learning numpy pandas python seaborn

Last synced: 13 Apr 2026

https://github.com/iv4n-ga6l/Geometric-ShapesRecognizer-in-image

Geometric shapes recognizer API built in python

api-rest flask numpy opencv python shaperecognitionapi

Last synced: 28 Apr 2025

https://github.com/pramodyasahan/spaceship-titanic

This repository features a machine learning model designed to predict whether passengers of a space travel company are likely to be transported. The model employs CatBoostClassifier, a machine learning algorithm known for handling categorical data effectively.

machine-learning numpy pandas python scikit-learn

Last synced: 13 Apr 2026

https://github.com/shwetapardhi/assignment-05-multiple-linear-regression-2

Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t

collinearity-diagnostics cooks-distance correlation-analysis eda heteroscedasticity homoscedasticity leverage-score multi-linear-regression numpy ols-regression p-value pair-plot python r-square-values regress-exog residual-analysis smf statsmodels vif

Last synced: 09 May 2026

https://github.com/udacity-machinelearning-internship/support-vector-machine

Implementing SVM's using pandas and sklearn in python

numpy pandas sklearn support-vector-machines svm

Last synced: 13 Apr 2026

https://github.com/sadia-khan13/data-preprocessing

Welcome to the Data preprocessing Repository! This repository is dedicated to showcase the comprehensive resources and implementations related to Data Preprocessing using Python and Jupyter Notebook.

artificial-intelligence data-analysis data-mining data-preprocessing data-science jupyter-notebook matplotlib numpy pandas python seaborn-python sklearn

Last synced: 11 Apr 2026

https://github.com/1adityakadam/uber_data_analytics

End to end Google Bigquery + Looker Studio Data Analytics Project Transforming NYC Taxi Data into Actionable Intelligence

bigquery looker-studio mage-ai-pipeline numpy pandas sql

Last synced: 13 Apr 2026

https://github.com/aritrakar/ai-projects

🤖A centralized collection of links to my AI projects roughly divided by topic.

numpy pandas python pytorch tensorflow

Last synced: 13 Apr 2026

https://github.com/sadegh15khedry/housing-prices-prediction-using-randomforest

This repository contains an implementation of random forest model to predict housing prices using the Boston Housing dataset.

csv joblib jupyter-notebook matplotlib numpy pandas pil python random-forest seaborn sklearn

Last synced: 27 Feb 2025

https://github.com/5hraddha/eda-instacart-customers-shopping-habits

In this Exploratory Data Analysis (EDA) project we'll clean up the data and prepare a report that gives insight into the shopping habits of Instacart customers.

data-visualization exploratory-data-analysis instacart matlpotlib numpy pandas

Last synced: 13 Apr 2026

https://github.com/dharma-acha/imageclassification

This project is an interactive Streamlit web application using the VGG-13 model to classify images from the CIFAR-10 dataset. Users can upload images to receive real-time predictions and visual explanations of the model's decisions. The goal is to accurately classify images into one of the ten CIFAR-10 classes: airplanes, automobiles, birds, cats,

colab-notebook matplotlib numpy pandas python3 pytorch scikit-learn seaborn streamlit

Last synced: 13 Apr 2026

https://github.com/singhvishal003/brain_stroke_prediction

Brain Stroke Prediction according to age and Health Condition.

matplotlib numpy pandas sklearn

Last synced: 13 Apr 2026

https://github.com/shreeparab1890/heart-attack-analysis-prediction-accuracy-85.24

This iPython Notebook implements the Analysis and Predictions for Heart Attack. The Analysis is done on the dataset to identify the key features which has a impact on Heart Attack. After the analysis and data cleaning, the dataset is used to train the model using different ML algorithm.

eda exploratory-data-analysis matplotlib numpy pandas plotly prediction python scikit sklearn

Last synced: 13 Apr 2026

https://github.com/lesiaukr/mathematic_for_cs_colab_hw

Master's degree | HW | Mathematics for Computer Science course | Homeworks

goit google-colab home-works latex linear-algebra mathematics-for-computerscience matrices numpy python vectors

Last synced: 13 Apr 2026

https://github.com/ahmedabdalkreem/healty-care

The Complete project using neural network to arrive the best healt know he is stoke or not.

matplotlib neural-network numpy pandas python3 sklearn-library

Last synced: 13 Apr 2026

https://github.com/abhinavraj009/x_ray-conversion-csv-

To convert an X-ray image into a CSV format for machine learning or data analysis, you'll typically want to represent the image as numerical pixel values.

machine-learning numpy opencv pandas python

Last synced: 13 Apr 2026

https://github.com/mmerlyn/analysis-of-tomato-prices

Forecasting tomato prices in Karnataka using machine learning to help farmers make better crop planning and selling decisions.

css flask html matplotlib numpy pandas python scikit-learn seaborn

Last synced: 06 Jul 2025

https://github.com/aiwithqasim/ab-testing-for-shoefly.com

In this project, I had analyzed the data set of SHOEFLY.COM to find out valuable insights to check which platform is more useful for advertisement.

numpy pandas python3 sqlite3

Last synced: 13 Apr 2026

https://github.com/legalaspro/rnn_gru_lstm_experiments

RNN, GRU, LSTM implementation using PyTorch and Numpy

gru ltsm numpy pytorch rnn

Last synced: 21 Apr 2026

https://github.com/lupin3000/augmentedreality

Introduction into augmented reality (AR) with Python OpenCV ArUco markers.

aruco aruco-marker camera-calibration marker-detection numpy opencv pose-estimation python

Last synced: 13 Apr 2026

https://gitlab.com/DLR-SY/mcodac

MCODAC is a Fortran library for the numerical evaluation of fiber composite damage. The library contains analysis methods specifically tailored to fiber composites, from micromechanical homogenization approaches to macroscopic fatigue models of orthotropic multilayer composites.

fortran numpy python

Last synced: 02 Apr 2025

https://github.com/parthshah02/customer_churn_dashboard

This repository features a comprehensive project showcasing data analysis and interactive dashboard using Python

data-analysis matplotlib numpy pandas python

Last synced: 13 Apr 2026

https://github.com/lingesh81051/similar-template-document-matching-and-fraud-detection

An automated system for a health insurance company to streamline document processing, including template matching and fraud detection, resulting in reduction of processing time.

numpy opencv opencv-python pillow pymupdf pytesseract pytesseract-ocr python tkinter

Last synced: 13 Apr 2026

NumPy Awesome Lists
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