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

scikit-learn

scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.

https://github.com/nafis2508/maternal-neonatal-outcome-prediction

Predicting Maternal and Neonatal Birth Outcomes using Machine Learning on 61,018 Healthcare Records from Kenya and Uganda

data-science decision-tree eda healthcare-ai healthcare-analytics machine-learning maternal-health predictive-modeling python random-forest scikit-learn

Last synced: 24 Jun 2026

https://github.com/vivekky57/car-price-prediction

Now you can get Car Price with this wonderful end-to-end project.

flask machine-learning machine-learning-algorithms python python3 random-forest-classifier scikit-learn

Last synced: 13 Apr 2026

https://github.com/dearabhin/girlfriend-predictor

Using machine learning to solve the ultimate college classification problem. A fun project applying Python and Logistic Regression to predict relationship outcomes based on a (hilariously) synthetic dataset. 📊❤️

classification data-science fun-project google-colab jyputer-notebook jypyternotebook logistic-regression machine-learning pandas python scikit-learn

Last synced: 06 Oct 2025

https://github.com/muellerconstantin/house-prices

Data analysis about house prices in Ames (Iowa) with advanced regression techniques.

dvc jupyter-notebook python python3 scikit-learn

Last synced: 14 Apr 2026

https://github.com/harris-giki/e-comdataanalysis_ml

E-commerce Customer Analysis with Linear Regression: analyzes customer behavior within an e-commerce setting and predict yearly customer spending based on various features using a linear regression model.

development ecommerce linear-regression machine-learning model prediction-model python scikit-learn

Last synced: 14 Apr 2026

https://github.com/dukebw/ml-model-selection

Machine learning model selection using Dlib and scikit-learn.

dlib machine-learning ranking scikit-learn

Last synced: 07 Oct 2025

https://github.com/sducournau/ign_lidar_hd_dataset

🏗️ Comprehensive Python library for processing IGN LiDAR HD data into machine learning-ready datasets for Building Level of Detail (LOD) classification. Features GPU/CPU processing, smart data management, and complete ML pipeline integration.

building-classification data-processing dataset france geospatial gis ign lidar lidar-hd numpy point-cloud scikit-learn

Last synced: 20 Jan 2026

https://github.com/albarji/teachingcontainer

A Docker container I use for my lectures

docker keras machine-learning scikit-learn

Last synced: 14 Apr 2026

https://github.com/prarthana-singh/bangalore-house-price-predictor

🏡 Bangalore House Price Prediction – A Machine Learning model to predict house prices in Bangalore using real estate data. Built with Linear Regression, Python, Pandas, NumPy, and Scikit-Learn.

data-analysis eda house-price-prediction linear-regression machine-learning numpy pandas python real-estate regression scikit-learn

Last synced: 19 Apr 2026

https://github.com/jyablonski/nba_elt_mlflow

ML Pipeline for NBA ELT Project

python scikit-learn

Last synced: 17 Jan 2026

https://github.com/arish-mhrjn/aimodelinspector

A fairly comprehensive Python library allowing for exploration, self-education and categorizaton of AI models

ai analysis coreml-models diffusers diffusion-models ggml hdf5-format jax model-discovery model-insights openvino-models pytorch scikit-learn scikitlearn-machine-learning

Last synced: 07 Oct 2025

https://github.com/r-gg/ml-37

Amazon Reviews ~ Sentiment analysis evaluation: fine-tuned BERT vs LSTM. (+ Extensive Data Mining & Visualization)

bert deep-learning ipynb-jupyter-notebook lstm machine-learning python scikit-learn uni-project

Last synced: 05 Feb 2026

https://github.com/shubhamsoni98/classification-with-random-forest-1

To classify sales into categories (Low, Moderate, High) using Random Forests to inform strategic decisions and optimize marketing strategies.

algorithms anaconda data data-science datacleaning eda jupyter-notebook machine-learning pyhton random-forest scikit-learn visualization

Last synced: 18 Jan 2026

https://github.com/madsondeluna/mvp_pucrio_data_analytics_and_machine_learning

MVP referente a sprint de Machine Learning & Analytics (40530010056_20250_01) da Pós-Graduação em Data Science and Analytics da PUC-Rio.

comparative-analysis data-analytics data-science machine-learning-algorithms postgraduate-course python pytorch scikit-learn

Last synced: 03 May 2026

https://github.com/pragati928/cancer-severity-prediction-ml

📊 End-to-end data science project predicting cancer severity using Python, EDA, and Random Forests — focusing on lifestyle and genetic factors.

data-analysis-python data-science-projects eda machine-learning pandas-python random-forest scikit-learn visualizations

Last synced: 08 Oct 2025

https://github.com/hiftd22/wpattern

📈 Analyze and visualize stock patterns with wPattern for better trading insights. Simplify your investment decisions through data-driven analysis.

cli finance financial-analysis financial-data matplotlib numpy pandas pattern-recognition python scikit-learn stock-scanner technical-analysis yfinance

Last synced: 29 Apr 2026

https://github.com/pranavsp108/market_basket_analysis-instacart

Customer segmentation and market basket analysis using the Instacart dataset with Python, Pandas, and K-Means clustering.

customer-segmentation-and-buying-behavior data-analysis data-visualization instacart jupyter-notebook kmeans-clustering market-basket-analysis pandas python scikit-learn

Last synced: 05 May 2026

https://github.com/workwithchaimaa/codealpha_diseaseprediction

Complete ML pipeline for binary classification to predict heart disease. Includes data preprocessing, model comparison (Logistic Regression, RF), hyperparameter tuning, and feature importance analysis.

classification heart-disease machine-learning python random-forest scikit-learn

Last synced: 08 Oct 2025

https://github.com/a-iftikhar02/telco-churn-pipeline

End-to-End Customer Churn Prediction Pipeline using Scikit-learn, GridSearchCV, and Gradio. Automatically preprocesses Telco data, tunes Logistic Regression & Random Forest models, and deploys an interactive web app for real-time churn predictions.

automation churn-prediction gradio gridsearchcv hyperparameter-tuning joblib machine-learning ml-pipeline python scikit-learn streamlit telco-churn

Last synced: 08 Oct 2025

https://github.com/manjotkaurgill/agritech

Enter details of your soil and weather, and find best suitable crop for farming. With our advanced AI system, you can make informed decisions and optimize your agricultural practices.

flask generative-ai insight-generation machine-learning matplotlib mongodb nextjs numpy pandas python scikit-learn seaborn

Last synced: 12 Apr 2026

https://github.com/enyaude/california_house_price_prediction

Developed a California house price prediction model utilizing linear regression and Random Forest, and applied machine learning techniques such as Ridge, and Lasso for optimization in Python.

jupyter-notebook linear-regression python random-forest scikit-learn streamlit

Last synced: 23 Feb 2026

https://github.com/agrawalchaitany/teamelytra_solar_eff_prediction_model

A robust, modular machine learning pipeline for predicting solar panel efficiency, featuring domain-specific preprocessing, advanced feature engineering, model training, evaluation, selection, and easy batch prediction from CSV files.

hackerearth-solutions lightgbm-regressor machine-learning optuna python3 scikit-learn solar-panel-efficiency xgboost-regression zelestra

Last synced: 09 Oct 2025

https://github.com/hmotez/medclaimml

An AI-powered machine learning application designed to process healthcare reimbursement claims. It analyzes medical documents, client information, insurance policies, and legal regulations to predict accurate reimbursement amounts, ensuring efficiency, compliance, and fraud detection.

healthcare jest-tests mern-stack mongodb nodejs nosql numpy pytorch react scikit-learn tailwindcss

Last synced: 12 Apr 2026

https://github.com/bhavnanahar/coral_project

ChatGPT said: This project analyzes and predicts the health of coral reefs in the Florida Keys by examining coral cover and species richness trends over time.

colab-notebook matplotlib numpy pandas plotly python random-forest scikit-learn seabo

Last synced: 14 Apr 2026

https://github.com/sohitbennett/roadsafe

A Deep learning computer vision system for real-time traffic safety monitoring.

computer-vision esrgan keras numpy pandas python scikit-learn tensorflow tesseract-ocr yolov5 yolov8

Last synced: 08 Apr 2026

https://github.com/cinnaavox/loan-prediction

Machine Learning project predicting loan approvals using Decision Tree Classification. Includes data cleaning, feature engineering, model evaluation and key business insights.

decision-trees matplotlib numpy pandas python scikit-learn seaborn

Last synced: 14 Apr 2026

https://github.com/hirkojoba/fintrack

Full-stack financial tracking app with ML forecasting and AI insights. Built with Rails, PostgreSQL, Python/scikit-learn, and OpenAI API.

artificial-intelligence data-visualization fintech full-stack machine-learning openai postgresql python ruby-on-rails scikit-learn

Last synced: 14 Apr 2026

https://github.com/sharvesh1401/battsense

BattSense is a machine learning project focused on predicting the State of Health (SOH) of lithium-ion batteries using operational parameters such as voltage, current, temperature, and capacity. The model enables accurate, data-driven diagnostics for battery performance monitoring in electric vehicles and portable devices.

battery-diagnostics battery-health battery-health-prediction battery-soh data-analysis electric-vehicles energy-storage machine-learning predictive-maintenance python regression scikit-learn

Last synced: 07 May 2026

https://github.com/alisonmitchell/titanic

Exploration of a subset of the Titanic passenger manifest to create a predictive classification model to determine which passengers were more likely to survive.

deep-learning keras machine-learning matplotlib numpy pandas python scikit-learn scipy seaborn tensorflow

Last synced: 14 Apr 2026

https://github.com/priyanshulathi/air-quality-index-prediction

Machine learning based air quality index prediction using environmental and pollutant data to classify and forecast pollution levels.

machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 19 Jan 2026

https://github.com/jeus0522/7-explore-different-classifier-ml-app

A project exploring various classification algorithms, showcasing their implementation, comparison, and evaluation using Python and scikit-learn.

k-nearest-neighbours knn random-forest scikit-learn streamlit support-vector-machine svm

Last synced: 21 Jan 2026

https://github.com/fanyicharllson/mobile-money-transaction-analysis

Machine learning pipeline for classifying mobile money users (MTN MoMo & Orange Money) into activity segments — CSC 3221 Final Project, ICT University Cameroon.

cameroon data-science ict-university jupyter jupyter-notebook machine-learning mtn-momo orange-money python scikit-learn

Last synced: 31 May 2026

https://github.com/manome/python-supervised-learning

This project provides sample code for performing supervised learning.

conformal-prediction scikit-learn supervised-learning

Last synced: 19 Jan 2026

https://github.com/sudarshanc00/smishing

This project aims to classify text messages to detect potential smishing (SMS phishing) attacks. Using machine learning, the project provides a classifier that can differentiate between legitimate messages and smishing attempts, helping to prevent scams.

nltk numpy pandas python scikit-learn scipy

Last synced: 14 Apr 2026

https://github.com/stewartpark/sklearn2gem

⚡ sklearn2gem ports your scikit-learn model into a fast ruby C binding!

ruby rubygem scikit-learn sklearn

Last synced: 01 Mar 2026

https://github.com/chaakshay/heartdrive

A Streamlet-based tool that analyzes cardiovascular health data, predicts population risk using ML, and suggests targeted government actions like awareness campaigns, health checkups, and policy changes.

csv mathplotlib numpy pandas pandas-dataframe python scikit-learn seaborn streamlit

Last synced: 05 Apr 2026

https://github.com/gabrielmazzotta/nlp-clustering--movie-similarity-from-plot-summaries

A Python-based movie recommendation system leveraging NLP and clustering techniques. This project includes data processing, vectorization of plot summaries, and the implementation of recommendation algorithms to suggest similar movies based on user input.

clustering cosine-similarity hierarchical-clustering kmeans lemmatization nlp recommendation-engine scikit-learn similarity-score spacy tokenization

Last synced: 21 Jan 2026

https://github.com/1adityakadam/tweet-classification-using-nlp-techniques

This project classifies tweets as toxic or non-toxic using NLP and machine learning. It includes preprocessing, feature engineering, and models like Logistic Regression, Random Forest, and XGBoost on labeled tweet datasets. Technologies: Python, Pandas, NLTK, Scikit-learn, XGBoost.

nltk pandas python scikit-learn xgboost

Last synced: 05 May 2026

https://github.com/angelarreola/ai_notes

Notas de la materia "Inteligencia Artificial" para su posterior extraccion mediante algun modelo de lenguaje que nos permita dar respuestas personalizadas con base a la informacion presente en este repositorio.

ai matplotlib numpy pandas phaserjs python scikit-learn

Last synced: 21 Jan 2026

https://github.com/srijon57/disease-detector

Practice python3 detecting diseases based on symptoms

flask machine-learning pandas python3 scikit-learn typescript vite

Last synced: 11 Apr 2026

https://github.com/nisch-mhrzn/house_prediction

This project predicts house prices using data exploration, feature engineering, and machine learning models like Linear Regression and Random Forest. It demonstrates how to optimize models and evaluate their performance to accurately forecast house prices.

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 08 Apr 2026

https://github.com/jsimell/sleepanalysis

A Python data analysis project analyzing the sleep quality affecting factors and temporal patterns in the sleeping data of a single subject.

data-analysis matplotlib numpy pandas python scikit-learn seaborn

Last synced: 14 Apr 2026

https://github.com/szymon-budziak/real_estate_house_prices_prediction

Predicting real estate house prices using various machine learning algorithms, including data exploration, preprocessing, model training, and evaluation.

data-analysis data-preprocessing data-science eda jupyter-notebook machine-learning matplotlib numpy optuna pandas predictive-modeling price-prediction python random-forest regression scikit-learn seaborn

Last synced: 21 Jan 2026

https://github.com/wasifsohail5/amusic-ai_powered_musicrecommendationsystem

AMUSIC is an AI-driven music recommendation system that helps users discover personalized songs. Using Python, Streamlit, and Scikit-learn, it offers smart recommendations, advanced search, and interactive music insights. Users can save favorites, create playlists, and export data for a seamless music discovery experience.

joblib k-nearest-neighbours matplotlib minmaxscaler numpy pandas pickle plotly python scikit-learn seaborn streamlit

Last synced: 14 Oct 2025

https://github.com/aasjunior/machinelearningapp

O Machine Learning App é um aplicativo desenvolvido com Kotlin, Android Studio e Jetpack Compose, para aplicação de algoritmos de aprendizado de máquina e exibição dos resultados. Realizado como tarefa da disciplina de Laboratório Mobile/Computação Natural no 5º Semestre de Desenvolvimento de Software Multiplataforma.

fastapi jetpack-compose kotlin-android machine-learning material-design scikit-learn

Last synced: 18 Apr 2026

https://github.com/harris-giki/cancerdetectionmodel_ml

Simple Logistic Regression and Neural Network powered Machine Learning models that predicts whether a breast tumor is malignant or benign based on input features extracted from a breast cancer dataset.

cancer-detection development keras keras-tensorflow logistic-regression machine-learning neural-network scikit-learn streamlit tensorflow

Last synced: 13 Apr 2026

https://github.com/josancamon19/boston_housing

Predicting Boston Housing Prices for Udacity Machine Learning Nanodegree

boston-housing-price-prediction machine-learning machine-learning-nanodegree scikit-learn udacity

Last synced: 21 Apr 2026

https://github.com/moanassiddiqui/handsonml_ml

This is the complete part I of the Hands-On Machine Learning book which was about the classical machine learning models.

hands-on machine-learning scikit-learn

Last synced: 14 Mar 2026

https://github.com/mindlessmuse666/iris-ml-based-on-decision-trees

Проект демонстрирует применение моделей машинного обучения на основе деревьев решений и случайного леса для классификации набора данных Iris. Включает в себя загрузку данных, обучение моделей, оценку производительности и визуализацию результатов. Предназначен для изучения основ машинного обучения и анализа данных.

classification data-analysis data-visualization decision-trees iris-dataset machine-learning model-evaluation python random-forest scikit-learn

Last synced: 17 Oct 2025

https://github.com/sunilvarma-l/liverdiseaseprediction

"Streamlit app to predict liver disease risk using a machine learning model based on patient input data."

machine-learning matplotlib numpy pandas pickle python scikit-learn seaborn streamlit

Last synced: 13 Apr 2026

https://github.com/darkdk123/customer-churn-prediction-innobytes

Predicting Customer churns as an Internship project at Innobytes services.

data-science python scikit-learn streamlit xgboost-classifier

Last synced: 14 Apr 2026

https://github.com/hassan11196/churn-nn

A simple Churn Predictor using Scikit's Multi-Layer Perceptron Classifier

jupyter-notebook machine-learning ml neural-network python scikit-learn

Last synced: 14 Apr 2026

https://github.com/icepanorama/internship-visualizations-and-demonstrations

A collection of some of the programs that I've written over the course of my internship.

artificial-intelligence machine-learning matplotlib numpy pandas python3 pytorch scikit-learn

Last synced: 14 Apr 2026

https://github.com/haseeeb21/machine-learning-models

Machine Learning Models trained on Scikit-learn datasets. This repository contains the code files and saved models trained on Toy datasets (Classification & Regression), and Real World dataset.

anaconda classification classification-models jupyter-notebook knn knn-classification machine-learning machine-learning-algorithms python3 regression regression-models scikit-learn scikit-learn-python scikitlearn-machine-learning svm svm-classifier vscode

Last synced: 07 May 2026

https://github.com/santiagoenriquega/ez-animate

A Python package for creating Matplotlib animations with minimal code. Built to quickly visualize model behavior.

animation machine-learning matplotlib python scikit-learn

Last synced: 15 Mar 2026

https://github.com/smahala02/svm-machine-learning

This repository provides an in-depth tutorial and practical implementation of Support Vector Machines (SVM) for classification tasks, using Python and popular data science libraries.

classification data-science machine-learning python scikit-learn svm

Last synced: 30 Jan 2026

https://github.com/pradeep31747/smartsuggest-personalized_product_recommendations

This project implements a personalized product recommendation system using machine learning techniques to enhance user experience and drive engagement.

jupyter-notebook keras numpy pandas pyhton scikit-learn sql tensorflow vscode

Last synced: 28 Jan 2026

https://github.com/adriantomin/bulldozer-price-prediction

Predicting the Sale Price of Bulldozers Using Machine Learning 🚜💰 This project uses machine learning to predict bulldozer sale prices based on historical data from the Kaggle Bluebook for Bulldozers competition. The goal is to minimize the RMSLE between actual and predicted prices.

data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 23 Jan 2026

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/rahul-120/crop_recom

This project is a Machine Learning based Crop Recommendation System built using Flask. It helps farmers or users decide the most suitable crop to grow based on soil nutrients and environmental conditions.

crop-recommendation-system flask flask-application machine-learning python3 scikit-learn

Last synced: 02 May 2026

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/glennx1/heartdrive

ML-powered heart disease predictor using Streamlit, featuring data preprocessing, visualization, and user input interface.

matplotlib pandas python scikit-learn seaborn streamlit

Last synced: 29 Apr 2026

https://github.com/allwin107/loan-prediction-web-app

A Flask-based loan prediction web app using a Random Forest model to predict loan approval based on user input. It includes a clean, responsive UI, form validation, and real-time prediction display.

classification data-processing deployment flask loan-prediction machine-learning python random-forest-classifier scikit-learn web-application

Last synced: 15 Apr 2026

https://github.com/samjoesilvano/airline_ticket_fare_prediction

Airline Fare Prediction using Machine Learning focuses on developing a Random Forest model to predict flight prices, achieving an R² score of 0.804. The project includes hyperparameter tuning using RandomizedSearchCV, alongside extensive data preprocessing and feature engineering to ensure robust model performance.

airline-fare-prediction data-preprocessing data-visualization feature-engineering feature-selection hyperparameter-tuning machine-learning pandas python random-forest randomizedsearchcv regression-analysis scikit-learn

Last synced: 15 Apr 2026

https://github.com/chengetanaim/beatrecommendersystembackend

A system for music producers and rappers/singers. I was trying to implement the product recommendation feature for music uploaded by producers. I used the collaborative filtering algorithm to be able to recommend songs to users.

fastapi scikit-learn sqlalchemy unsupervised-learning

Last synced: 06 Feb 2026

https://github.com/bangaji313/recommender-system-movielens

Proyek Sistem Rekomendasi Film dengan Content-Based & Collaborative Filtering. Submission untuk modul Machine Learning Terapan di Coding Camp 2025.

collaborative-filtering content-based-filtering data-science deep-learning dicoding jupyter-notebook keras movie-recommendation movielens pandas python recommender-system scikit-learn tensorflow

Last synced: 15 Apr 2026

https://github.com/itssahilwhat/ai-fundamentals

A curated collection of fundamental AI concepts, algorithms, and code implementations — including Machine Learning, Deep Learning, and Computer Vision — built from scratch and with practical examples.

computer-vision deep-learning machine-learning numpy pandas python pytorch scikit-learn

Last synced: 15 Apr 2026

https://github.com/tamk-kol/project_orbital_data_analysis

The goal of this project is to develop an automatic method to detect orbital maneuvers using machine learning.

matplotlib numpy pandas scikit-learn

Last synced: 30 Jan 2026

https://github.com/gunjangyl/iris-detection

The Iris Detection Project classifies different species of Iris flowers using machine learning techniques. It analyzes four key features—sepal length, sepal width, petal length, and petal width—to predict one of three classes: Setosa, Versicolor, or Virginica. The project uses algorithms like KNN, Decision Trees, or SVM for classification. Model pe

knn-classification matplotlib python scikit-learn seaborn

Last synced: 15 Apr 2026

https://github.com/manu-karenite/medical-insurance-cost-predictor

Medical Insurance Cost Generator is a Linear Regression based Predictor which is used to estimate and predict the Cost a person has to pay while Buying a Medical Insurance.

kaggle-dataset linear-regression machine-learning matplotlib numpy pandas python3 reactjs scikit-learn

Last synced: 15 Apr 2026

https://github.com/jofaval/titanic-disaster

Data Analysis of the famous Titanic Disaster in 1912 with Machine Learning

classification data-analysis data-science data-visualization google-colab kaggle machine-learning python scikit-learn

Last synced: 15 Apr 2026

https://github.com/sarmad426/ai

AI basic to advanced featuring Machine Learning, Deep Learning and Data Science.

ai data-science deep-learning hugging-face machine-learning numpy pandas python scikit-learn

Last synced: 15 Apr 2026

scikit-learn Awesome Lists
awesome-python-data-science 382 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 55 Machine Learning 43 General 35 Data Manipulation 29 Deep Learning 28 Model Explanation 26 Reinforcement Learning 24 Optimization 22 Visualization 18 Graph Machine Learning 17 Feature Engineering 16 Time Series 16 Probabilistic Methods 13 Computer Vision 12 Computer Audition 9 Computations 9 Natural Language Processing 9 Deployment 8 Distributed Computing 7 Experimentation 7