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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/suundumused/weather-forecast-ai-example

The project scope is a weather forecasting model based on behavioral analysis of the last 33 hours (hour-by-hour forecast) with Random Forest Classifier. The program automatically saves and loads the last trained model for prediction.

ai artificial-intelligence artificial-intelligence-algorithms artificial-intelligence-projects artificialintelligence scikit scikit-learn scikit-learn-python scikitlearn scikitlearn-machine-learning weather weather-conditions weather-forecast weather-information

Last synced: 20 May 2026

https://github.com/karimosman89/legal-document-nlp

Create a tool that uses NLP to extract key information from legal documents, contracts, or agreements.Use NLP techniques for named entity recognition and text classification.Streamline the review process for legal teams by automating information extraction.

nltk python scikit-learn spacy

Last synced: 11 Apr 2026

https://github.com/francescopaolol/titaniccompetition

It's my first kaggle competition about predict survival on the Titanic and get familiar with ML basics

jupyter-notebook kaggle-competition machine-learning ml pandas scikit-learn

Last synced: 17 Apr 2026

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

This ML model recommends movies that may align with the user's preferences based on TF-IDF matrix.

jupyter-notebook machine-learning movie-recommendation movielens-dataset numpy pandas python regex scikit-learn tf-idf-vectorizer

Last synced: 12 Apr 2026

https://github.com/lucasfrag/dengue-prediction-knc

Projeto desenvolvido para realizar previsão de casos de dengue usando o algoritmo de classificação KNeighborsClassifier.

data-science knearest-neighbor-classifier machine-learning pandas python scikit-learn

Last synced: 11 Mar 2025

https://github.com/2003harsh/house-price-prediction-using-machine-learning

This project features a web app that predicts house prices using a linear regression model. Users can input details like location, square footage, bathrooms, and bedrooms through an HTML form. I've added a CI/CD pipeline with GitHub Actions, unit testing with pytest, and automated Docker containerization to improve deployment and robustness.

ci-cd data-analysis docker-image flask linear-regression machine-learning matplotlib mlops-workflow requests scikit-learn

Last synced: 04 Jan 2026

https://github.com/aryansk/fake-news-detection

A sophisticated machine learning solution to detect fake news using multiple classification algorithms. Identify the credibility of news articles with advanced text analysis techniques!

fake-news-detection machine-learning machine-learning-algorithms matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/aahnik/gdsc-ml-ds-bootcamp-2023

This repo contains files given by my seniors as well as assignments and final project done by me during the bootcamp.

data-science machine-learning ml numpy pandas python3 scikit-learn

Last synced: 28 Oct 2025

https://github.com/nirmalyabag20/diabetes-prediction-using-machine-learning

This project focuses on predicting diabetes using machine learning algorithms based on health metrics like glucose levels, blood pressure, and BMI. By comparing different models, the goal is to identify the most accurate approach for early diabetes detection, showcasing the potential of machine learning in healthcare.

decision-tree-classifier jupyter-notebook kneighborsclassifier logistic-regression matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn svc

Last synced: 18 Jan 2026

https://github.com/alessandrosocc/machine-learning-project-2022

Final project for the Machine Learning course at the University of Cagliari in 2022. Analysis of a dataset, use of Machine Learning techniques with Oversampling and Undersampling techniques. Final report with the results obtained.

imblearn machine-learning matplotlib-pyplot oversampling pandas scikit-learn spambase-dataset undersampling

Last synced: 18 Jan 2026

https://github.com/salmandeveloperz/ml_house_prediction

project for house price prediction using Classification & Regression models. Includes Docker setup for easy deployment.

classification-model clustering deep-learning machine-learning matplotlib numpy pandas python3 regression-models scikit-learn

Last synced: 10 Apr 2026

https://github.com/grachale/predict_titanik

Predicting the survival of Titanic passengers (binary classification) with usage of decision tree and KNN from scikit-learn.

classification decision-tree-classifier knn-classifier matplotlib pandas python scikit-learn titanic-survival-prediction

Last synced: 12 Apr 2026

https://github.com/ksasi/boston_housing

Predicting Boston Housing Prices - Udacity

machine-learning numpy pandas python scikit-learn

Last synced: 08 Apr 2026

https://github.com/its-maneeshk/fake-product-detection-system

The Fake Product Review Detection System is a machine learning-powered web application designed to analyze and detect fake reviews on eCommerce platforms. It helps users identify whether a product has genuine or manipulated reviews by leveraging Natural Language Processing (NLP) and supervised learning models.

api beautifulsoup4 fetch-api flask html-css-javascript joblib nlp-machine-learning numpy pandas python reactjs requests scikit-learn

Last synced: 05 Mar 2025

https://github.com/siam29/exploring-explainable-ai-demystifying-dt-rf-knn-xgbc

Implemented XAI techniques to enhance transparency in fraud detection models. I employed techniques such as SHAP, LIME on DT, RF, XGBC, and KNN to offer lucid explanations for transactions that were flagged.

machine-learning matplotlib pandas scikit-learn xai

Last synced: 15 Apr 2026

https://github.com/jesly-joji/house-price-prediction

House Price Prediction using Linear Regression with Scikit-learn and Flask

flask regression scikit-learn

Last synced: 03 Jan 2026

https://github.com/jersongb22/datascience_mlops_movierecommendations_project

Simulating a Data Scientist's role in a startup aggregating streaming platforms. Building movie queries and ML-based recommendation system with MLOps focus. ML model web app deployed with Render.

data-science fastapi machine-learning matplotlib pandas python render scikit-learn stopwords

Last synced: 10 Apr 2026

https://github.com/medyessinkhlif/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: 13 May 2025

https://github.com/hvignolo87/marketing-campaign-classification

Real case of classification with machine learning. Analysis of real data from telemarketing campaigns of a Portuguese bank.

binary-classification data-science pandas python scikit-learn xgbclassifier xgboost

Last synced: 12 Apr 2026

https://github.com/shreeyas-48/creditcardfrauddetection

Project for detecting credit card frauds using neural networks and logistic regression

autoencoder keras logistic-regression matplotlib neural-networks numpy pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/ayberkyavuz/ml_model_server_docker_deployment

This repository is for containing source codes of machine learning model server deployment.

deployment docker flask machine-learning model python random-forest scikit-learn

Last synced: 08 Apr 2026

https://github.com/hayatoy/gcpml-notebook

Dockerfile with Jupyter Machine Learning environment plus Google Cloud SDK

dockerfile google-cloud-platform jupyter scikit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/chrislemke/scikit-tabtrans

TabTransformer ready for Scikit learn 🧑‍🔬

deep-learning machine-learning python scikit-learn transformer

Last synced: 19 Apr 2025

https://github.com/mgobeaalcoba/survival_predictor_on_the_titanic_scikit_learn

Titanic Survival Predictor using Scikit-Learn: Machine learning model and analysis to predict passenger survival on the Titanic based on historical data.

matplotlib numpy pandas python3 scikit-learn seaborn titanic-dataset titanic-kaggle titanic-survival-prediction

Last synced: 10 Apr 2026

https://github.com/mgobeaalcoba/linear_algebra_for_machine_learning

Explore fundamental linear algebra concepts essential for machine learning in this repository, with code examples and explanations. Get a solid foundation for ML!

machine-learning matplotlib numpy pandas python3 scikit-learn scipy seaborn

Last synced: 12 Apr 2026

https://github.com/zen204/airbnb-availability

A machine learning model that predicts Airbnb listing availability, utilizing feature engineering and supervised learning techniques to improve guest experience and optimize host management.

binary-classification data-analysis data-preprocessing data-visualization feature-engineering machine-learning matplotlib model-evaluation nlp pandas predictive-modeling python scikit-learn seaborn supervised-learning

Last synced: 21 Jan 2026

https://github.com/tasninanika/will-you-survive-frontend

A full-stack machine learning app to predict Titanic passenger survival with a modern, interactive UI. Powered by FastAPI, scikit-learn, and a React frontend.

fastapi framer-motion python3 react react-router scikit-learn

Last synced: 12 Apr 2026

https://github.com/queirozpedro/cluesuspeitosrna

Estudando o funcionamento do Jogo Clue Suspeitos e implementando treinamento de uma Rede Neural. Clue Card Game é um jogo de cartas, onde os jogadores passam por rodadas de perguntas e respostas em busca de descobrir o cenário do crime, composto por um suspeito, um lugar e uma arma.

matplotlib mlp-classifier python scikit-learn

Last synced: 16 May 2026

https://github.com/kr1shnasomani/sentimentscope

Sentiment analysis on movie review using TensorFlow and GloVe embeddings

deep-learning keras matplotlib natural-language-processing neural-networks numpy pandas scikit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/rayyan9477/machine-learning-driven-backorder-prediction-system

Experience a state-of-the-art Django web application designed to predict product backorders with exceptional accuracy. This platform leverages advanced machine learning techniques, incorporating pre-trained Random Forest Classifier, Decision Tree, and LGBM models.

matplotlib notebook numpy pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/paulj1989/bulgarian-constitutional-court-decisions

Developing NLP models for text and sentence classification using legal texts from the Bulgarian constitutional court.

keras neural-network nlp scikit-learn tensorflow tesseract

Last synced: 04 May 2026

https://github.com/davidyen1124/cowculator

COWCULATOR: AI-driven catering cost forecasting in Python. Trains order-level and daily time series models, exports an edge-ready JSON bundle, and includes a demo web UI.

cli data-science edge-ai forecasting github-actions machine-learning mypy pandas python ruff scikit-learn time-series uv

Last synced: 05 May 2026

https://github.com/gdapriana/clickbait-detector-backend

This repository contains the backend logic for the “Clickbait Detector” app. Built using Python, it employs an Artificial Neural Network (ANN) to predict the likelihood of a news headline being clickbait. It provides REST API endpoints to interact with the model.

flask python scikit-learn tensorflow

Last synced: 11 Apr 2026

https://github.com/squadron-leader/ecopredict-ai

EcoPredict AI is a powerful, AI-driven solution for predicting Greenhouse Gas (GHG) emissions based on user-input industry data. Designed for environmental sustainability initiatives, EcoPredict AI utilizes machine learning models to deliver accurate carbon emission predictions and is deployed via Streamlit for real-time access.

epa-data linear-regression python regression-model scikit-learn streamlit

Last synced: 12 Apr 2026

https://github.com/williyam-m/movie-recommendation-system

Developed a web app with a cosine similarity machine learning model for personalized recommendations based on user history, likes, bookmarks, and activity. Implemented user auth and CRUD operations for movies.

django machine-learning numpy pandas prediction-model python scikit-learn

Last synced: 10 Apr 2026

https://github.com/headless-start/cs2-endtoend-chatbot

This repository contains a simple end to end Counter Strike 2 chat bot.

chatbot counter-strike-2 css flask html5 nltk python3 scikit-learn streamlit

Last synced: 11 Apr 2026

https://github.com/bahar15984/obesity-classification

Machine Learning Pipeline for Obesity Classification using Azure ML & Python

azure azure-ml classification data-science healthcare machine-learning mlops obesity pandas pipeline python scikit-learn

Last synced: 03 Nov 2025

https://github.com/nikhiljsk/generic_regression_algo

A Python template to evaluate different regression models on a dataset. Includes metrics to cross-compare models on the data. Assumes the data to be numeric.

dataset generic machine-learning prediction python3 regression scikit-learn seaborn supervised-learning

Last synced: 01 May 2026

https://github.com/gmontamat/quora-question-pairs

Code for the Kaggle competition "Quora Question Pairs"

kaggle-competition quora-question-pairs scikit-learn spell-checker xgboost

Last synced: 02 Sep 2025

https://github.com/official-biswadeb941/ClopiMedi---Your-Healths-Trusted-Care

ClopiMedi is an AI-driven healthcare application that simplifies doctor appointment bookings, offering personalized recommendations based on medical conditions to enhance patient-provider connections.

adam ai flask flask-api flask-api-backend full-stack-web-development joblib machine-learning scikit-learn tensorflow

Last synced: 28 Mar 2025

https://github.com/Tritonix711/FractureAI

This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.

css cv2 flask gorq html javascript matplotlib npm numpy pandas pydantic python react scikit-learn torch torchvision ultralytics

Last synced: 19 Aug 2025

https://github.com/asosnovsky/analyzing-blood-vessel-aneurysm

A few simple scripts to identify aneurysm in a blood-vessel (research projects)

machine-learning meanshift medical-image-processing scikit-learn

Last synced: 20 May 2026

https://github.com/omar-karimov/ai4renewals-gendes

This project adopts a modular Python architecture within an MLOps framework to enhance subscription renewal predictions, utilizing FastAPI and MongoDB with AWS integration (S3, ECR, EC2). Docker ensures seamless deployment, and GitHub Actions automate the CI/CD workflows. Evidently AI monitors drift to guarantee predictive accuracy and reliability.

api aws deployment docker drift-detection ec2 ecr evidently fastapi github-actions mangodb mlops modularization pipeline s3 scikit-learn workflow yaml-configuration

Last synced: 15 Apr 2026

https://github.com/khaymanii/parkinsons-disease-detection-model

This model was built with Python and Support Vector Machine Algorithm

matplotlib numpy pandas python scikit-learn

Last synced: 19 Apr 2026

https://github.com/virajbhutada/article-recommendation-system

This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.

anaconda article-recommendation clustering-algorithm data-analysis data-science keras-tensorflow machine-learning machine-learning-algorithms ml-models numpy pandas plotly python scikit-learn scipy

Last synced: 06 Jan 2026

https://github.com/jersongb22/datascience_ibm_stockpredictionlstm_project

In the IBM Advanced Data Science specialization, an interactive real-time web application was developed using LSTM networks in TensorFlow to predict stock market trends for global companies.

apache-spark data-science deep-learning lstm-neural-networks machine machine-learning plotly python scikit-learn streamlit tensorflow

Last synced: 13 Apr 2026

https://github.com/lasithaamarasinghe/stock-market-price-prediction

This ML model predicts the price of the S&P500 Stock Market Index using RandomForestClassifier

jupyter-notebook machine-learning pandas python random-forest-classifier scikit-learn sp500 stock-market-price-prediction yfinance

Last synced: 10 Apr 2026

https://github.com/chaitanya1436/student_performance_analysis

A project focused on analyzing college student performance using data on department, assessment scores, and performance labels. Implemented in Google Colab, the analysis includes data preprocessing, feature scaling, and exploratory data analysis to uncover insights and prepare the data for further analysis or modeling.

ata-preprocessing data-preparation exploratory-data-analysis feature-scaling google-colab numpy pandas scikit-learn

Last synced: 07 Feb 2026

https://github.com/pacatro/lse2text

Deep learning program that translates Spanish Sign Language (LSE) to text in real time.

ai cnn computer-vision deep-learning lse matplotlib numpy pandas python pytorch pytorch-lightning scikit-learn torchmetrics translation

Last synced: 11 Apr 2026

https://github.com/somenath203/titanic-survival-project-backend

Click the link below to check the swagger documentation of the website live

fastapi pandas python render scikit-learn seaborn titanic-survival-predictor

Last synced: 05 Apr 2026

https://github.com/ladityagogoi/shadowguard

The ShadowGuard Browser Extension is a powerful tool designed to enhance user experience by identifying and highlighting potential dark patterns on websites. Our extension employs a combination of machine learning algorithms and natural language processing (NLP) models to detect and classify various deceptive design practices

css flask html javascript joblib numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/filiplangiewicz/automltunability

📈 Analyzing the impact of hyperparameter optimization

automl machine-learning scikit-learn

Last synced: 18 Feb 2026

https://github.com/achuth-0908/hemoguard-anemia-predictor

A Web App incorporated with a Gradient Boosting Classifier Model, to predict Anemia with given data.

css flask html matplotlib numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/abz4375/recommendersystem

A sophisticated recommender system that leverages web mining techniques to help users find hotels that match their preferences.

cosine-similarity css html javascript pandas python scikit-learn selenium selenium-webdriver

Last synced: 13 Apr 2026

https://github.com/benman1/python-time-series

Time-Series analysis, statistical and machine learning models for forecasting, regression, and classification

darts deep-learning forecasting mlforecast nixtla scikit-learn statsforecast time-series time-series-analysis

Last synced: 22 Feb 2026

https://github.com/priboy313/pandasflow

A set of custom python modules for friendly workflow on pandas

catboost data-analysis data-science pandas phik python scikit-learn shap

Last synced: 20 Jan 2026

https://github.com/mgckaled/ignite-devia-supervised_algorithms

Repositório que reuni os módulos 7 ao 13 da Formação Desenvolvimento IA 2023-2024, desenvolvido pela Rocketseat Education.

gradio joblib pandas python scikit-learn statsmodels uvicorn

Last synced: 12 Apr 2026

https://github.com/nemeslaszlo/sale-price-of-bulldozers

The goal of predicting the sale price of bulldozers. How well can we predict the future sale price of a bulldozer, given its characteristics previous examples of how much similar bulldozers have been sold for? (Archive kaggle competition)

matplotlib numpy pandas random-forest-regressor regression scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/3rd-son/knn-breast-cancer-prediction-model-

A breast cancer prediction model using KNN with an accuracy of 96%

jupyter-notebook knn-classifier matplotlib numpy pandas python scikit-learn scipy search

Last synced: 11 Apr 2026

https://github.com/g-eoj/cv-tl-keras

Use the cross validation functions from scikit-learn to evaluate image classification transfer learning with Keras models.

cross-validation keras numpy scikit-learn transfer-learning

Last synced: 10 Apr 2026

https://github.com/theanujsinha01/rainfall-prediction-using-machine-learning

This project predicts whether it will rain or not based on weather features like pressure, humidity, dew point, cloud cover, sunshine, wind direction, and wind speed. We use a Random Forest Classifier, a popular ML algorithm, trained on historical weather data. The model learns patterns and helps us forecast rain chances.

classification data-analysis eda machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn supervised-learning

Last synced: 11 Apr 2026

https://github.com/urme-b/multimodal-multisensor

Longitudinal neurophysiological study of adult psychometric testing.

keras matplotlib numpy pandas python pytorch scikit-learn seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/aditya172926/text_summarization

Project to generate summaries and perform Named Entity Recognition from multiple types of text bodies.

glove machine-learning nlp python scikit-learn spacy

Last synced: 05 May 2026

https://github.com/kostasereksonas/ids_test

Code for intrusion detection system based on "Intrusion Detection System Using Machine Learning Algorithms" tutorial on Geeksforgeeks and Intrusion Detection on NSL KDD Github repository.

ids intrusion-detection intrusion-detection-system nsl-kdd-dataset numpy pandas python scikit-learn tensorflow

Last synced: 08 Apr 2026

https://github.com/akashshnkr/multi-disease-prediction

Developed and integrated three machine learning models for predicting diabetes, Parkinson's, and heart disease into a Streamlit-based web application. The interface allows users to input data and receive accurate health predictions, enhancing early detection and healthcare outcomes.

logistic-regression machine-learning-algorithms numpy pandas python scikit-learn streamlit-webapp svm

Last synced: 02 Jan 2026

https://github.com/gregoritsch3/ml_eda_classification_loanapprovalprediction

An EDA and Machine Learning Classification exercise on the Loan Approval dataset demonstrating EDA, feature engineering, StratifiedKFold and the use of Tensorflow NN, SVC, LinearSVC, XGBoost, Naive-Bayes, Bagging, Random Forest and Decision Tree algorithms.etc. The modela are optimized using hyperparameter tuning through GridSearchCV.

eda feature-engineering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/vidhi1290/hr_employee_prediction

"Welcome to the HR Employee Promotion Prediction project! This repository contains the code and resources for a machine learning project that focuses on predicting employee promotions. By analyzing various employee attributes, this project aims to provide valuable insights for HR decision-making and talent recognition within organizations.

data-exploration data-science data-visualization docker hr-employee-prediction hyperparameter-tuning machine-learning matplot model-building numpy pandas scikit-learn seaborn streamlit streamlit-webapp

Last synced: 13 Apr 2026

https://github.com/alexsomai/machine-learning-getting-started

Dummy examples and experiments to get started with Machine Learning

artificial-intelligence deep-learning machine-learning python scikit-learn

Last synced: 13 Apr 2026

https://github.com/anudeepjonnada/phishshield-ai

🛡️ PhishShield AI – An intelligent phishing email detector that uses BERT and Machine Learning to identify phishing attempts in real time. Integrated with the Gmail API, powered by Flask, React, and MongoDB for secure full-stack email analysis and threat detection.

bert flask gmail-api mongodb oauth2 python react scikit-learn

Last synced: 13 Apr 2026

https://github.com/rixiiz/knn-model-to-predict-the-obp-of-mlb-players

A machine learning model I built that can predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season

artificial-intelligence dataset f1-score jupyter-notebook knn-regression machine-learning matplotlib mse numpy pandas python scikit-learn supervised-learning

Last synced: 01 Jul 2025

https://github.com/bestmahdi2/uni__decisiontreesinpythonpredictingdiabetes

A university project designed in Python decision tree for diabetes diagnosis

decision-tree diabetes-prediction graphviz pandas prediction pydotplus python scikit-learn

Last synced: 11 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