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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/charles-l/rayboi

a raytracer written in futhark/python

futhark numpy pathtracing python3 raytracing

Last synced: 19 Apr 2026

https://github.com/mahmoudnamnam/superstore-analysis

This project explores the SuperStore dataset to uncover insights into sales, profit, and customer behavior. It identifies key trends, regional variations, and product performance, using data analysis and machine learning techniques to guide business strategy and optimize performance.

clustering data-analysis data-science data-visualization geopandas jupyter-notebook machine-learning numpy pandas plotly regression seaborn sklearn

Last synced: 12 Apr 2026

https://github.com/ngangawairimu/data-validation-using-python

Agricultural dataset validated using python code for usage. Building a data pipeline that will ingest and clean data with the press of a button.

jupyter-notebook numpy pandas pytest python

Last synced: 13 Apr 2026

https://github.com/mostafa-ghorab/global-happiness-analysis

An analysis of global happiness rankings based on various factors like GDP, family support, health, and freedom from the World Happiness Report (2015-2017). This project provides data visualizations and statistical insights into how these factors influence happiness scores in different regions.

business-analysis data-analysis data-visualization matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/lmizner/codecademy_life_expectancy_gdp

Utilize understanding of data visualization to analyze and plot data about GDP and life expectancy

barplot jupyter-notebook lineplot matplotlib-pyplot numpy pandas python scatterplot seaborn

Last synced: 12 Apr 2026

https://github.com/thariniselvakumar/kidney-disease-prediction

This project is about the kidney disease prediction using machine learning algorithms

machine-learning matplotlib numpy pandas scikit-learn seaborn

Last synced: 12 Apr 2026

https://github.com/hanannazri/predictive-customer-churn-modelling-with-price-sensitivity-insights-

As a part of BCG Data Science Project, I developed a predictive churn-risk model for XYZ energy utility by engineering price, consumption and contract features and training XGBoost and Random Forest models to identify customers most likely to churn at current prices.

bcgx data-visualization exploratory-data-analysis feature-engineering jupyter jupyter-notebook model-training-and-evaluation numpy pandas random-forest scikit-learn xgboost

Last synced: 19 Aug 2025

https://github.com/felinjob/ibm-applied-data-science-capstone

Este projeto, parte da especialização IBM Data Science Professional Certificate, prevê o sucesso do pouso do Falcon 9 da SpaceX. Usando dados da API da SpaceX e Web Scraping, o projeto inclui análise de dados e Machine Learning para gerar insights sobre os lançamentos.

data-analysis data-science data-visualization ibm jupyter-notebook machine-learning numpy pandas python scikit-learn seaborn sql

Last synced: 11 Apr 2026

https://github.com/ledsouza/python-powerbi

Desenvolver uma dashboard para análise do mercado financeiro utilizando Python e Power BI

etl matplotlib numpy pandas powerbi python seaborn

Last synced: 12 Apr 2026

https://github.com/izhaan0/predict-marks-based-on-study-hours

Student Marks Predictor is a machine learning project that predicts a student’s exam scores based on the number of study hours. It uses Linear Regression to learn the relationship between study hours and marks, and provides both command-line and interactive Streamlit web interfaces for prediction and visualization.

data-visualization joblib jupyter-notebook machine-learning machine-learning-algorithms matplotlib-pyplot numpy pandas pandas-dataframe pickle python scikit-learn seaborn

Last synced: 05 Apr 2026

https://github.com/mnitin-reddy/summer-olympics-data-analysis-web-app

An interactive web app for exploring trends in Olympic Games history, analyzing overall medal tallies, country-wise performance, and athlete demographics. Built with Python and Streamlit, this app offers insights through visualizations and data-driven statistics.

dataanalytics matplotlib numpy pandas python seaborn streamlit

Last synced: 12 Apr 2026

https://github.com/gregoritsch3/project_radioactive_decay

An analytic ( system of coupled ODEs), numeric (Runge-Kutta 4, Newton-Raphson) and stochastic (Monte Carlo) treatment of the chained radioactive decay of Bi[210, 83] into Po[210,84], as well as the emission of alpha-particles. Associated comments and paper are in Croatian.

cplusplus matplotlib montecarlo-simulation numerical-methods numpy python radioactive-decay scipy

Last synced: 12 Apr 2026

https://github.com/jpcano/boston_housing

Predicting Boston Housing Prices using supervised Machine Learning algorithms

cross-validation machine-learning numpy pandas python regression-models scikit-learn

Last synced: 12 Apr 2026

https://github.com/themihirmathur/soiligator

Soiligator is an advanced machine learning project designed to optimize irrigation management by predicting whether irrigation is necessary based on environmental and soil-related data.

auc-score logistic-regression machine-learning matplotlib numpy pandas python random-forest-classifier roc-curve scikit-learn seaborn standardscaler support-vector-machine

Last synced: 12 Apr 2026

https://github.com/gregoritsch3/ml_eda_clustering_aidassessment

An EDA and Machine Learning Clustering exercise on the Country Aid Assessment dataset demonstrating the use of PCA, KMeans and DBSCAN clustering, Elbow Methods, etc. The clustering algorithm successfully demarcates countries that are in most dire need of aid based on their GDPP and Child Mortality rate.

anova dbscan kmeans machine-learning matplotlib numpy pandas pca scikit-learn seaborn statistics

Last synced: 16 Apr 2026

https://github.com/emhash/machine-learning-and-ai

Personal tasks or codes of Machine Learning and Artificial Intelligence. Practice codes and projects of Ml/AI will be share here.

ai datasets ipynb jupyter-notebook keras linear-regression logistic-regression machine-learning machine-learning-algorithms numpy opencv pandas python seaborn sklearn tensorflow

Last synced: 05 Jan 2026

https://github.com/ksharma67/anomaly-detection-on-temperature-device-failure

A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.

eda ellipticenvelope feature-engineering gaussian-distribution isolation-forest kmeans-clustering numpy pca python sklearn

Last synced: 11 Apr 2026

https://github.com/mizcausevic-dev/embedding-drift-graph

Track how entity embeddings drift across encoder model versions. SQLite store + Strawberry GraphQL API. Cosine drift events computed automatically on every record. Reference impl for RAG/eval pipelines re-encoding their corpus.

ai-governance drift-detection embeddings graphql llm numpy python rag sqlite strawberry-graphql vector-search

Last synced: 01 Jun 2026

https://github.com/armahdavi/mlops

Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.

apache-beam docker fastapi logistic-regression mlops mlops-workflow numpy random-forest sklearn tensorflow-extended unicorn xgboost

Last synced: 12 Apr 2026

https://github.com/anas436/python

This is Python Programming Language. Here, the basic problems of Python language have been solved. If you can solve these problems then your basic skills will be developed in this language and you will be suitable for doing good projects.

jupyter-notebook jupyterlab numpy pandas pycharm python3 watson-studio

Last synced: 11 Apr 2026

https://github.com/lmizner/grokking_data_science

Coding practice for basic data science interview questions in Python

data-science numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/filip-kustura/python-covid-19-behaviors-analysis

Using Jupyter Notebook, this university project analyzes attitudes and behaviors related to the COVID-19 pandemic using a two-year survey from Imperial College London and YouGov research company. Utilizing Pandas, NumPy and Matplotlib, the data analysis focuses on three countries, exploring trends and insights throughout the pandemic.

covid-19 data-analysis data-visualization jupyter-notebook matplotlib numpy pandas python university-project

Last synced: 12 Apr 2026

https://github.com/nadahamdy217/movies-data-etl-using-python-gcp

Developed a comprehensive ETL pipeline for movie data using Python, Docker, and a GCP Pub/Sub emulator. Successfully processed and published the data in a local Docker environment, showcasing advanced data engineering skills.

analytics data data-engineering data-ingestion data-preparation data-preprocessing data-processing data-project docker etl etl-pipeline gcp matplotlib matplotlib-pyplot numpy pandas pubsub python scipy seaborn

Last synced: 06 Jan 2026

https://github.com/riju18/from-data-production-to-client-handover

The common tedious problem is to build a data app to demonstrate the data analysis & analytics along with Machine Learning to a client. It was an attempt to do it on small scale in the most powerful & simplest way.

machine-learning matplotlib numpy pandas plotly python seaborn streamlit

Last synced: 30 Apr 2026

https://github.com/ljubogdan/solar-cycle-lstm

This project predicts sunspot activity using an LSTM model for time series data. Built with TensorFlow and Keras, it uses Huber loss for outlier handling and MAE for performance evaluation. The dataset, sourced from Kaggle or SIDC, spans over 270 years of monthly sunspot data.

conv1d huber-loss-regression kaggle keras lstm machine matplotlib numpy pandas scikit-learn seaborn solar sunspots tensorflow time-ser

Last synced: 13 Apr 2026

https://github.com/jpgiant/nyc_energy_prediction

A comprehensive code for predicting energy usage in NYC using Machine Learning Algorithms.

data-analysis data-science data-visualization folium jupyter-notebook machine-learning matplotlib numpy pandas python seaborn sklearn

Last synced: 10 Apr 2026

https://github.com/lijesh010/employeeanalysis-

This is a simple data analysis project developed as part of my Entri Elevate Data Science and Machine Learning course. It serves as a practical demonstration of my skills in data analysis.

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/mrktsm/spam-email-recognizer

Long Short-Term Memory (LSTM) network trained to classify emails as spam or non-spam. It processes email content to make accurate predictions and can be integrated into projects for efficient spam detection and email management.

data-preprocessing keras lstm-neural-network model-architecture nltk numpy pandas performance-evaluation scikit-learn spam-classification-model tenserflow training-the-model

Last synced: 09 Apr 2026

https://github.com/abrarshahok/electric-vehicle-charging-station-energy-consumption-prediction

With the rapid adoption of electric vehicles, optimizing energy usage at charging stations has become crucial for improving operational efficiency and ensuring customer satisfaction. This tool leverages predictive modeling to forecast energy consumption for charging sessions based on various input features.

matplotlib numpy pandas plotly python3 scikit-learn xgboost

Last synced: 09 Jun 2026

https://github.com/fabricioarendtorres/streamauc

Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..

classification-model machine-learning metrics numpy precision-recall-curve receiver-operating-characteristic

Last synced: 06 Jan 2026

https://github.com/amithjoseph777/gourmethaven-case-competition

Predictive analytics case competition project from the Master of Science in Business Analytics course at the College of Business, University of Louisville. Our team analyzed customer response trends for Gourmet Haven, developed a predictive model, and ranked in the Top 5 out of 25 teams.

google-colab jupyter-notebook numpy pandas r scikit-learn

Last synced: 10 Apr 2026

https://github.com/lucasgleria/seamese-network-algorithm

Este projeto implementa um sistema de busca por similaridade de imagens usando redes siamesas e Triplet Loss em PyTorch. Ele gera embeddings de imagens (MNIST com EfficientNet-B0) para encontrar visuais semelhantes. O foco está na análise visual e no aprendizado de representações no espaço vetorial.

google-colab matplotlib numpy pandas python pytorch timm

Last synced: 11 Apr 2026

https://github.com/iamsaniasingh/heart_disease_prediction

This is my very first machine learning project, where I used a supervised learning algorithm—logistic regression—to predict heart disease. The model was trained and tested entirely on a pre-existing dataset, with no user input involved. The goal was to understand how ML models work and how they can be applied in healthcare predictions.

logistic-regression machine-learning machine-learning-algorithms numpy pandas python sklearn

Last synced: 11 Apr 2026

https://github.com/lorenzorottigni/ml-universities

Machine Learning python bootcamp: K mean clustering with public/private universities dataset

k-mean-clustering machine-learning numpy pandas python scikit-learn seaborn

Last synced: 05 Apr 2026

https://github.com/lorenzorottigni/ml-random

Machine Learning course of Piero Savastano 7: matplotlib, accuracy_score, precision_score, recall_score, f1_score, classification_report

machine-learning matplotlib metrics numpy

Last synced: 04 May 2026

https://github.com/rizkyrajitha/ann_101

A really simple neural network for binary classification written from scratch using python

jupyter-notebook numpy pandas

Last synced: 08 May 2026

https://github.com/mpoojithavigneswari/bangalore-house-price-prediction

This project involves creating a website that predicts Bangalore house prices with 94.65% accuracy using a machine learning algorithm.

data-analysis data-science flask-server machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 12 Apr 2026

https://github.com/alisonmitchell/countries-of-the-world

Exploratory Data Analysis of US Government data from the World Factbook to investigate GDP ($ per capita), Literacy (%) and Phones (per 1000).

data-science machine-learning matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/bhushan148/ipl-stats-analysis

This project explores IPL data to show team and player performances. 📈 Key highlights include analyzing match results, highest scores, and performance at different venues. 🏟️ It uses charts to reveal trends like win margins and average scores by venue. 📉 Discover important insights into what affects match outcomes and team success.

jupyter-notebook markdown matplotlib-pyplot numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/constraintautomaton/client_pgu1

The client part of the PgU1 project it. It command the robot and do the video processing

numpy opencv paramiko pyqt5 python3 raspberry-pi-3

Last synced: 12 Apr 2026

https://github.com/aleksandarbuk/machine-learning

The Machine Learning Library repository provides a collection of scripts and tools leveraging Scikit-Learn, Pandas, and NumPy for various machine learning tasks and data analysis.

matplotlib numpy python scikit-learn tensorflow

Last synced: 16 Apr 2026

https://github.com/22p31a0512/sentimental-analysis

Build a model to classify text as positive, negative, or neutral. Apply NLP techniques for preprocessing and machine learning for classification. Aim for accurate sentiment prediction on various text formats.

feature-engineering machine-learning natural-language-processing numpy pandas python supervised-learning text-classification text-processing tokenization

Last synced: 12 Apr 2026

https://github.com/akashkg03/facial-expression-image-classification

This notebook involves to build a facial expression image classifier which categorizes facial expressions into one of seven emotions: anger, disgust, fear, happiness, sadness, surprise, and neutral.

jupiter-notebook numpy pandas python

Last synced: 28 Apr 2026

https://github.com/ttwag/p2_gaussian_elimination

A function that encodes the Gaussian Elimination algorithm

algorithm linear-algebra numpy python

Last synced: 29 Apr 2026

https://github.com/dhanish03/credit_card_fraud_detection

Developed and implemented an advanced CCFDS using ML algorithms and pattern recognition techniques. Integrated real-time monitoring and adaptive learning capabilities into the system to dynamically adjust fraud detection parameters, ensuring effectiveness in identifying emerging fraud patterns.

kaggle-dataset numpy pandas-dataframe python3 sklearn

Last synced: 16 Apr 2026

https://github.com/volf52/deep-neural-net

A simple deep neural net class written to work with Numpy and Cupy

binarized-neural-networks binary-neural-networks bnn cupy deep-learning deep-neural-networks mnist numpy python python3

Last synced: 05 May 2026

https://github.com/ewakamoto/03.-python-projects

This is my collection of Python Projects

jupyter jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/armahdavi/data_pipeline_analytics_statistics_ml_pm_psd_residential_qff

Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782

data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics

Last synced: 11 Apr 2026

https://github.com/sonatipek/matris_transactions_py

My "Python Programlama-I" lesson's homework. Some matris transactions with numpy library in Python

matrix numpy numpy-arrays python sonatipek

Last synced: 24 Mar 2025

https://github.com/sothulthorn/stock-prediction-portal

The Stock Prediction Portal is a full-stack web application that demonstrates how to use machine learning models to analyze stock market data and forecast future trends.

axios django django-rest-framework javascript keras matplotlib numpy pandas python react tensorflow yfinance

Last synced: 02 Apr 2026

https://github.com/vasulab/knightshock

Shock tube experiment planning and data analysis package.

cantera data-analysis matplotlib numpy shock-tube

Last synced: 18 Jul 2025

https://github.com/varkenvarken/blempy

small, safe utilities to efficiently transfer Blender property-collection attributes (e.g. vertex coordinates) to/from NumPy arrays and perform vectorized operations with minimal Python overhead.

blender numpy

Last synced: 13 Jan 2026

https://github.com/vidushibhadana/eda-on-nyc-taxi-data

About Conducting an Exploratory Data Analysis (EDA) on New York City taxi data and visualizing it through countplots, distribution plots (displot), and histograms using Python and it's libraries.

data data-visualization jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 11 Apr 2026

https://github.com/timothyjan/intro-machine-learning-classifiers

We will use the scikit-learn library, which is a higher-level machine learning library that will work with NumPy data, and Pandas, a library that makes it easier to manipulate data. We will explore a variety of classification algorithms, and compare their performance on a “real-world” dataset, which will introduce its own set of challenges.

numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/hariprasath-v/av-job-a-thon-november-2022

Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.

exploratory-data-analysis kaggle lightgbm-regressor matplotlib numpy pandas python rmse-score seaborn sklearn statsmodels timeseries-forecasting

Last synced: 12 Apr 2026

https://github.com/akashkg03/feynn-labs-internship

This repository contains the projects I did as a Data Science intern with Feynn Labs.

data-science machine-learning matplotlib numpy pandas python scipy seaborn

Last synced: 07 Jan 2026

https://github.com/prarthana-singh/potato-disease-classification-using-deep-learning

🌱 Potato Disease Classification using Deep Learning – A deep learning-based model to detect and classify potato plant diseases using image processing and CNNs. Built with TensorFlow/Keras & Python.

agriculture cnn deep-learning image-classification keras machine-learning neural-network numpy pandas plant-disease-detection python3 streaming tensorflow

Last synced: 12 Apr 2026

https://github.com/Sadegh-Khedry/Pneumonia-Detection-Using-CNN

Classifying chest X-ray images into two categories: Pneumonia or Normal using a Convolutional Neural Network (CNN).

cnn convolutional-neural-networks cv2 deep-learning harris-corners joblib jupyter-notebook keras kmeans-clustering matplotlib numpy orb pandas python seaborn shutil sifit tensorflow

Last synced: 12 Apr 2026

https://github.com/mehradi-github/ref-jupyter-2510

using python in machine learning

matplotlib numpy pandas python sklearn statistics

Last synced: 11 Apr 2026

https://github.com/yahiazakaria445/image-classification-using-vgg-16

computer vision model for 10 classes classification

matplotlib numpy opencv pandas sklearn tensorflow

Last synced: 12 Apr 2026

https://github.com/alexixrugis/perceptronvisualization

Visualization of training and operation of a perceptron written from scratch in numpy

ai machine-learning numpy python

Last synced: 11 Feb 2026

https://github.com/kirtipratihar/python_libraries_for_ds

This repository serves as a comprehensive guide to Python programming for Data Science. It covers essential topics like data manipulation, data visualization, machine learning, and statistical analysis using popular libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn.

artificial-intelligence machine-learning numpy pandas python scikit-learn tensorflow

Last synced: 11 Apr 2026

https://github.com/alejoduarte23/bs6472

Serviceability assessment as per BS 6472 for human exposure to vibration in buildings Vibration sources other than blasting

matplotlib numpy pydantic scipy

Last synced: 07 Jan 2026

https://github.com/dmarks84/coursework_project_apache-airflow-kafka-on-toll-booth-data

Project for IBM Data Engineering & Python course on ETL & Big Data -- Read in live toll booth data, wrangles and transformed, and wrote into a SQL database

apache-airflow apache-kafka automation dags data-modeling databases eda elt etl mysql numpy pandas pipelines python sql

Last synced: 11 Apr 2026

https://github.com/armahdavi/analytics-data-pipelines-statistics-plotting---dust-extraction-hvac-filters---phase-1

PhD Technical Paper 1 - Phase 1 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available

matplotlib numpy pandas pandas-dataframe pyplot python scipy-stats sklearn

Last synced: 13 Apr 2026

https://github.com/ahmed-maher77/diabetes-prediction-app-using-machine-learning

Diabetes Prediction: Using machine learning to classify individuals as diabetic or non-diabetic based on health data, enabling early intervention and improved healthcare outcomes.

ai css data-science gradientboostinclassifier javascript logisticregression machine-learning matplotlib numpy pandas python randomforestclassifier seaborn streamlit supportvectormachine webdevelopment

Last synced: 11 Apr 2026

https://github.com/otuemre/housepricingml

A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.

eda encoding evaluation-metrics kaggle-competition lightgbm-regressor machine-learning matplotlib-pyplot neural-networks numpy pandas preprocessing python ridge-regression scikit-learn seaborn tensorflow xgboost-regression

Last synced: 13 Apr 2026

https://github.com/jigyasag18/fake-news-prediction-app

The Fake News Prediction App Repository offers a machine learning project that focuses on identifying the authenticity of news articles as fake or real. It uses a dataset of 20,000 articles and employs methods such as TF-IDF vectorization and the Lemmatization algorithm, achieving ~95% classification accuracy with random forest classifier model

data datapreprocessing logistic-regression machine-learning machine-learning-algorithms numpy pandas prediction stemming streamlit streamlit-webapp vectorization

Last synced: 11 Apr 2026

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