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: 2026-07-02 00:27:34 UTC
- JSON Representation
https://github.com/27ahmad/movie-recommendation-system
Welcome to the Movie Recommendation System! This project uses Streamlit to provide personalized movie recommendations based on user preferences and similarity.
movie-recommendation numpy pandas python scikit-learn
Last synced: 04 Apr 2026
https://github.com/minhtran241/ml-dl-llm-genai
Showcasing ML/DL fundamentals, paper implementations, deep learning models, and other projects. The purpose of this repository is to provide a playground for me to explore and learn about PyTorch, deep learning, and generative AI.
deep-learning generative-ai llm machine-learning paper-implementations pytorch scikit-learn
Last synced: 18 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/gattsu001/telecom-churn-predictor
Predicts which telecom customers are likely to churn with 95% accuracy using engineered features from usage, billing, and support data. Implements Sturges-based binning, one-hot encoding, stratified 80/20 train-test split, and a two-level ensemble pipeline with soft voting. Achieves 94.60% accuracy, 0.8968 AUC, 0.8675 precision, 0.7423 recall.
churn-prediction classification classification-algorithm customer-retention data-science data-visualization feature-engineering joblib jupyter-notebook machine-learning pandas scikit-learn supervised-learning svm
Last synced: 18 Apr 2026
https://github.com/rescurib/random_forest_arduino_uno
Ejemplo de implementación de un clasificador de bosque aleatorio en un Arduino UNO usando scikit-learn y m2cgen.
Last synced: 18 Apr 2026
https://github.com/sabin74/fake_news_detection
This project implements a Fake News Detection system using Python, Natural Language Processing (NLP), and machine learning. It classifies news articles as Real or Fake based on their textual content.
fake-news-detection kaggle-dataset multinomial-naive-bayes passive-aggressive-classifier python3 regex scikit-learn
Last synced: 16 Apr 2026
https://github.com/tanim-mishkat/data-science-prediction-model-pds-course-
Diabetes Progression Prediction Using Regression Analysis: This project uses regression analysis in Python to predict diabetes progression based on medical and physiological data. Includes data preprocessing, model training, evaluation, and visualizations.
data-science machine-learning python regression scikit-learn
Last synced: 19 Apr 2026
https://github.com/sentinel-ml/sentinel_ai
Machine Learning Model to detect fraud in financial systems
ai python pytorch scikit-learn security security-tools tensorflow
Last synced: 04 Apr 2026
https://github.com/abdul-rafay19/california-housing-price-prediction
This project predicts California housing prices using machine learning regression models, including Random Forests and Decision Trees. It covers data preprocessing, exploratory analysis, model training, and hyperparameter tuning to optimize performance.
decision-trees gridsearchcv linear-regression matplotlib numpy pandas python random-forest randomsearch-cv scikit-learn scipy seaborn
Last synced: 04 Apr 2026
https://github.com/adhadse/hands-on-machine-learning-book-notes-and-practice
This repo holds the Jupyter notebooks and datasets containing notes/comments on things I learned from this book. Feel free to use and learned from them.
data-science deep-learning jupyter-notebooks keras machine-learning python scikit-learn tensorflow
Last synced: 04 Apr 2026
https://github.com/kaladabrio2020/livro-ml-with-pytorch-and-sk
Progresso em cada capitulo
jupyter-notebook matplotlib-pyplot nump pandas python3 pytorch scikit-learn
Last synced: 04 Apr 2026
https://github.com/yashsonaar/machine-learning-tasks
This repository has machine learning tasks which include classification, recommendation system, fraud detection system
classification jupyter-notebook machine-learning numpy pandas prediction python scikit-learn testing
Last synced: 04 Apr 2026
https://github.com/anushrey10/fuel_efficiency_predictor
Welcome to the Fuel Efficiency Predictor! This advanced tool uses machine learning to predict your vehicle's fuel efficiency based on various characteristics.
decision-tree gradient-boosting-classifier html-css-javascript linear-regression machile-learning matplotlib python random-forest scikit-learn tailwindcss
Last synced: 18 Apr 2026
https://github.com/giacomolat/object-detection-sperimental-thesis-for-degree
In this repository is my experimental thesis work on the recognition of museum works through object detection techniques.
convolutional-neural-networks detectron2 jupyter-notebook machine-learning neural-networks object-detection python pytorch rcnn rcnn-model scikit-learn
Last synced: 18 Apr 2026
https://github.com/sundanc/weatherprediction
This project implements a weather prediction system that predicts the temperature based on real-time weather data, including features like humidity, wind speed, and day-related features (day of the week, month
machine-learning machinelearning numpy pandas programming python scikit-learn scikitlearn-machine-learning weather-prediction
Last synced: 18 Apr 2026
https://github.com/prajjwal6969/recommender-system-using-python
A collection of content-based recommendation systems for songs and movies using Python and machine learning.
content-based-filtering cosine-similarity machine-learning movie-recommendation python recommender-system scikit-learn song-recommendation
Last synced: 08 May 2026
https://github.com/akhundmuzzammil/energyconsumptionprediction
This repository contains code and resources for training a linear regression model to predict energy consumption based on various building parameters.
data-analysis energy-consumption linear-regression machine-learning python scikit-learn streamlit visualization
Last synced: 18 Apr 2026
https://github.com/alezoon/movie-revenue-prediction
Sk-learn practice using Linear Regression, ML workflow practice.
jupyter machine-learning matplotlib-pyplot numpy pandas python scikit-learn
Last synced: 05 Apr 2026
https://github.com/ksasi/dog-breed-classifier
Dog Breed Classifier
cnn cnn-classification computer-vision deep-learning deep-neural-networks keras keras-neural-networks machine-learning numpy pandas python scikit-learn
Last synced: 05 Apr 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/ricardorobledo/next_level_data_science
matplotlib numpy pandas python3 scikit-learn
Last synced: 05 Apr 2026
https://github.com/murugavl/flower-prediction
Flower Prediction is a machine learning project that uses the Iris dataset to classify iris flowers into three species: Setosa, Versicolor, and Virginica. The project includes data analysis, model training with various algorithms, and deployment via a Flask web application for user-friendly predictions.
flask machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 05 Apr 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/elprofesoriqo/kagglecompetitions
Kaggle competitions projects
artificial-intelligence machine-learning python pytorch scikit-learn
Last synced: 05 Apr 2026
https://github.com/nurulashraf/predictive-maintenance-analysis-for-machine-failure-prevention
Predictive maintenance analysis for machine failure prevention using sensor data and ML. Built a Random Forest model and Gradio dashboard to identify high-risk machines for proactive maintenance.
data-science failure-prediction gradio industrial-iot machine-learning power-bi predictive-maintenance python scikit-learn
Last synced: 16 Apr 2026
https://github.com/malick08012/heart-disease-prediction
A machine learning project that predicts the risk of heart disease based on patient health data. Includes data cleaning, EDA, visualization, model training, evaluation and feature importance analysis
artificial-intelligence heartdisease-prediction logistic-regression machine-learning python scikit-learn
Last synced: 18 Apr 2026
https://github.com/manalisbhavsar/mall-customers-clustering
K-Means clustering to mall customer data, segmenting customers based on their annual income and spending score. To identify patterns and group customers for targeted marketing.
data-analysis data-visualization matplotlib numpy pandas python scikit-learn
Last synced: 18 Apr 2026
https://github.com/djdhairya/medicine-recommendation-system
csv deep-learning f1-score machine-learning pickle random-forest scikit-learn svc svm
Last synced: 10 Feb 2026
https://github.com/naren1704/ml-approach-for-employee-performance-prediction
A Flask UI that predicts the performance of employee based on the XGBoost trained model.
css flask html python scikit-learn xgboost
Last synced: 05 Apr 2026
https://github.com/barek2k2/ml_ruby
Ruby gem uses Machine Learning(ML) techniques to make predictions and classifications, and it's powered by Python3 under the hood.
artificial-intelligence data-science machine-learning pandas prediction python3 ruby ruby-on-rails scikit-learn
Last synced: 05 Apr 2026
https://github.com/merekat/ml-shortcut-library
A Visual Studio Code shortcut library designed to simplify and accelerate machine learning development.
cnn coding data-science deep-learning efficiency extension extensions fnn machine-learning machinelearning nlp numpy pandas python scikit-learn shortcut shortcuts tensorflow visual-studio visual-studio-code
Last synced: 05 Apr 2026
https://github.com/lexxai/goit_python_ds_hw_04
Модуль 4. Класифікація та оцінка роботи моделі. Лінійна регресія: перенавчання та регуляризація
lasso-regression linear-regression numpy pandas python red regression ridge-regression scikit-learn
Last synced: 05 Apr 2026
https://github.com/perpendicooler/elementary-research-for-steamboat-willie-s-store-in-poland
An elementary research for a company to opening store in a city using gurobi and pulp optimization.
christofides-algorithm gurobipy numpy pandas pulp python3 scikit-learn travelling-salesman-problem
Last synced: 05 Apr 2026
https://github.com/billy0402/python-machine-learning
A learning project from NTUB machine learning course.
ai course jupyter-notebook python scikit-learn tensorflow
Last synced: 05 Apr 2026
https://github.com/mpolinowski/local-linear-embedding
Improve Data Quality by discarding non-correlating, noisy Dimensions
locally-linear-embedding pyplot python scikit-learn
Last synced: 08 May 2026
https://github.com/lorenzorottigni/ml-movies
Machine Learning python bootcamp: Recommender Systems on movies dataset
ipynb machine-learning numpy pandas python recommender-system scikit-learn seaborn
Last synced: 05 Apr 2026
https://github.com/msikorski93/detecting-panic-disorder
Panic disorder detecting using machine learning techniques.
artificial-neural-networks classification knn logistic-regression machine-learning panic-disorder random-forest scikit-learn sgd svm tensorflow xgboost
Last synced: 08 May 2026
https://github.com/kenatsf/basic_data_analysis
Basic data science project: ETL, forecast and data visualization.
analysis data data-analysis data-science logistic-regression matplotlib matplotlib-pyplot numpy pandas powerbi python scikit-learn time-series time-series-analysis time-series-forecasting
Last synced: 05 Apr 2026
https://github.com/samkazan/fraud-detection-ml
Machine learning models for enhanced fraud detection in e-commerce transactions, exploring feature engineering, distance prediction, and clustering analysis.
clustering data-science data-visualization dataanalytics dbscan eda hierarchical-clustering kmeans-clustering knn-imputer matplotlib mlxtend python scikit-learn seaborn xgboost
Last synced: 08 May 2026
https://github.com/icejan/predicton-systems
Various systems that train on data and generate a prediction
lightfm machine-learning numpy python scikit-learn
Last synced: 08 May 2026
https://github.com/elprofesoriqo/chrome-extension-gmail-spam-filter
Chrome extension that automatically identifies and moves emails marked as spam to the spam folder in Gmail.
api-client chrome-extension firebase-database javascript machine-learning python scikit-learn
Last synced: 09 Apr 2026