scikit-learn

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

GitHub: https://github.com/topics/scikit-learn
Wikipedia: https://en.wikipedia.org/wiki/Scikit-learn
Repo: https://github.com/scikit-learn/scikit-learn
Created by: David Cournapeau
Released: January 05, 2010
Related Topics: scikit, python,
Aliases: sklearn,
Last updated: 2026-06-25 00:23:58 UTC
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https://github.com/samjoesilvano/password_strength_prediction_using_nlp

Developed a predictive model to categorize passwords as Strong, Good, or Weak, enhancing security and reducing breach risks. The project involves cleaning and analyzing data from an SQL database, using the TF-IDF technique for transformation, and implementing a Logistic Regression model to achieve accurate classifications.

data-analysis data-classification data-cleaning data-visualization logistic-regression machine-learning natural-language-processing pandas password-security password-strength python scikit-learn sql tf-idf

Last synced: 08 May 2026

https://github.com/robson-python/academic-performance

Project to evaluate students' academic performance.

csv-import data data-analysis data-science jupyter-notebook machine-learning matplotlib pandas python scikit-learn seaborn vscode

Last synced: 12 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/thekartikeyamishra/data-preprocessor

A Google Colab module for interactive data preprocessing. Handles missing values, categorical encoding (One-Hot, Label), and numerical scaling (Standard, MinMax). Outputs a cleaned dataset

ipywidgets numpy pandas python scikit-learn

Last synced: 08 May 2026

https://github.com/allanreda/automated-k-means-clustering-engine

An interactive K-Means clustering tool built with Flask and Scikit-Learn, supporting Excel file uploads, cluster analysis, and data export, deployed on Google Cloud Run via Docker with CI/CD integration.

cicd css data-visualization deployment docker flask google-cloud-run html javascript k-means-clustering machine-learning matplotlib numpy pandas python scikit-learn

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/katjaweb/king-county-house-price-prediction

This project aims to predict house prices based on various features such as square footage, number of rooms or location.

machine-learning python regression scikit-learn

Last synced: 19 Jan 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/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/nikshithmenta/fake-news-detector

This repository contains a Streamlit web app designed for fake news detection. Users can input a news article, and the app will predict whether it's real or fake based on its content. It also allows users to choose between different vectorizers (TF-IDF or Bag of Words) and classifiers (Linear SVM or Naive Bayes) to customize the prediction model.

bag-of-words fake-news-detection linear-svc naive-bayes-classifier scikit-learn streamlit-application tf-idf

Last synced: 15 May 2026

https://github.com/pders01/telarantula

📜 I made this for Uni. Was pretty fun. It scrapes telegram channels of known German tinfoil-hats and tries to detect the telegram channel based on the emojis that are used.

assignment python research scikit-learn scrapy

Last synced: 04 Aug 2025

https://github.com/lucasfranklinsilva/rnn-lstm

Modelo de Prevenção de Falhas em Turbinas Simuladas Utilizando Redes Neurais Recorrentes

data-visualization deep-learning jupyter-notebook keras machine-learning neural-networks python scikit-learn

Last synced: 12 Apr 2026

https://github.com/sankoktas/bhi360-fall-detection

Fall detection system using Bosch BHI360 sensor data with time-series labeling, feature extraction, and machine learning (LOSO CV + Gradient Boosting).

accelerometer bhi360 bosch-sensors data-augmentation fall-detection feature-extraction gradient-boosting gyroscope human-activity-recognition label-studio loso-cross-validation machine-learning python scikit-learn sensor-data smote time-series

Last synced: 07 May 2026

https://github.com/waikato-datamining/shallowflow-sklearn

scikit-learn support for the shallowflow Python workflow system.

python3 scikit-learn sklearn workflow-engine

Last synced: 14 Apr 2026

https://github.com/jatin-mehra119/churn_modeling

This repository is dedicated to predicting customer churn using machine learning techniques. It includes comprehensive scripts for data preprocessing, model training, and evaluation, along with detailed visualizations and insights.

classification-model datavisualization pandas scikit-learn

Last synced: 08 May 2026

https://github.com/shubhamsoni98/project_using_knn

This project applies the K-Nearest Neighbors (KNN) algorithm to predict iPhone purchases based on customer data. Using features like age, salary, and previous purchase behavior, the KNN model classifies customers into buyers and non-buyers.

anaconda analytics data data-science eda knn knn-classification machine-learning-algorithms predict project python scikit-learn tableau

Last synced: 03 Jan 2026

https://github.com/dakohhh/politicians-face-recognition

A machine learning model where we classify famous Nigerian politicians. We restrict classification to only 4 people

gridsearchcv jupyter-notebook machine-learning opencv python pywavelets scikit-learn

Last synced: 16 Apr 2026

https://github.com/shravya1125/dynamic-hospital-resource-allocation

A Dynamic Resource Allocation Framework for Hospital Management Using Risk-Aware Scheduling

allocator chartjs css dynamic flask flask-application hospital-management-system jinja2 machine-learning postman python real-time resource-management risk-prediction scikit-learn triage

Last synced: 12 Apr 2026

https://github.com/ayorick23/python-data-science-cheat-sheet

Guía rápida y práctica de sintaxis, comandos y funciones esenciales de Python para Ciencia de Datos. Perfecta para recordar cómo usar las librerías más comunes como NumPy, Pandas, Matplotlib y Scikit-learn en tus análisis diarios.

cheat-sheet data-analysis data-science data-visualization deep-learning jupyter-notebook machine-learning matplotlib ml numpy pandas python scikit-learn scipy seaborn statistics sympy tensorflow

Last synced: 07 Apr 2026

https://github.com/rafie-b/data-analytics

Activities of Data Analysis.

apache-spark api aws business-analytics data data-analytics data-science database dataframe jupyter-notebook python scikit-learn sql

Last synced: 14 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/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/srilaasya/titanic-survival-prediction-using-knn-for-beginners

Titanic Survival Prediction using KNN for beginners

analysis knn-classification python scikit-learn titanic-survival-prediction visualization

Last synced: 14 Apr 2026

https://github.com/manojkp08/student-performance-analysis

The Student Performance Analyzer is your go-to solution for understanding and improving student performance. By blending the power of machine learning with interactive visualizations, this tool provides educators and learners with personalized insights into learning styles, performance gaps, and actionable improvements.

machine-learning numpy pandas python requests scikit-learn streamlit

Last synced: 12 Apr 2026

https://github.com/jaspreetsingh-exe/sign-language-recognition-system

Sign Language Recognition System is an AI-powered application that enables real-time sign language recognition using MediaPipe and an MLP model. It captures hand gestures, extracts landmark features, and predicts sign language letters dynamically. The project also explores MobileNetV2 and aims to expand into Text-to-Sign Language generation.

deep-learning machine-learning mediapipe mobilenetv2 neural-networks scikit-learn sign signlanguage signlanguagedetection signlanguagerecognition tensorflow

Last synced: 01 May 2026

https://github.com/nicolas-giacomelli/modelo-polinomial-api-streamlit

Codigo focado em treinamento de modelo de previsão de salario por tempo de empresa e nivel dentro da empresa disponibilizado por api e usando front-end streamlit para calcular basta inserir tempo de empresa e nivel e calcular o resultado de salario compativel

api fastapi joblib machine-learning matplotlib numpy pandas pingouin pydantic scikit-learn seaborn streamlit uvicorn