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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/ejw-data/ml-playground

Testing the limitations, inabilities, and strengths of models with synthetic data

machine-learning python scikit-learn

Last synced: 06 May 2026

https://github.com/tharunkumar666/employee_attrition_prediction

Predict employee attrition using Logistic Regression. Use Python with Pandas and Scikit-learn to analyze factors like salary, satisfaction, and promotion history. Model classifies if an employee will stay or leave, helping HR take proactive retention measures.

pandas python regression-models scikit-learn

Last synced: 06 May 2026

https://github.com/williyam-m/company-registration-trends

Utilized Linear Regression from scikit-learn to predict future company registration trends.

flask matplotlib numpy pandas-python scikit-learn

Last synced: 06 May 2026

https://github.com/lintangwisesa/pdb_mti_ui_lab1_k6

Tugas Lab 1 Pengelolaan Data Besar MTI UI 2023

machine-learning python3 scikit-learn

Last synced: 06 May 2026

https://github.com/kartheekdama/salary-prediction

This salary prediction model leverages machine learning techniques, including Random Forest, Decision Tree, and Linear Regression, to estimate salaries based on individual attributes such as age, gender, education level, job title, and years of experience. The Random Forest model outperforms the others, achieving the highest R-squared score.

decision-tree exploratory-data-analysis feature-importance linear-regression machine-learning random-forest scikit-learn

Last synced: 06 May 2026

https://github.com/sahilmate/ebm-breast-cancer-classifier

This repository implements an Explainable Boosting Machine (EBM) model for breast cancer classification using scikit-learn and interpret. The project includes data preprocessing, model training, accuracy evaluation, and feature importance visualization.

breast-cancer-classification data-visualization explainable-boosting-machine feature-importance interpret machine-learning scikit-learn

Last synced: 06 May 2026

https://github.com/rafay-imraan/recommendation-system

A machine learning model that outputs personalized similar movie recommendations for people based on the ones they have rated positively.

machine-learning pandas python scikit-learn

Last synced: 06 May 2026

https://github.com/galaxy092/samsung-innovation-campus-big-data-capstone-project

Samsung Innovation Campus Big Data Capstone Project - Weather Prediction

hadoop jupyter-notebook pandas pyspark scikit-learn sparksql

Last synced: 06 May 2026

https://github.com/blacknahil/spam-detection

A simple web application for detecting spam messages using a machine learning model. The application is built using Flask and provides an interactive interface for users to input a message and get a prediction whether it is spam or ham along with the probability.

flask html-css-javascript pandas scikit-learn

Last synced: 06 May 2026

https://github.com/jbizzlefoshizzle/ibm_capstone_project

Used K-means clustering and mapping libraries to determine best cities in San Diego to open a Mexican restaurant

beautifulsoup4 folium-maps geopy pandas-python scikit-learn

Last synced: 06 May 2026

https://github.com/eshrathaziz/heart-disease-risk-assessment

Predicting heart disease risk using machine learning for Healthcare Insights.

data-science jupyter-notebook learning machine python scikit-learn

Last synced: 07 May 2026

https://github.com/n1k1f0rm/car-price-predict

By car characteristics you can predict it prise

fastapi ml scikit-learn streamlit

Last synced: 07 May 2026

https://github.com/z-fran/walmart-store-sales-forecasting

Data analysis and machine learning solution in Python for the Kaggle competition Walmart Recruiting - Store Sales Forecasting.

machine-learning sales-analysis sales-forecasting sales-prediction scikit-learn walmart-sales-forecasting

Last synced: 07 May 2026

https://github.com/govind-prakash/machinelearning

A collection of my machine learning projects, tutorial exercises, algorithm implementations, and related code.

decision-trees gradientboostinclassifier linear-regression logistic-regression scikit-learn unsupervised-learning

Last synced: 07 May 2026

https://github.com/rishi035/advanced-house-price-predictions

This is my First Project and also participated in kaggle competition

linear-regression machine-learning python random random-forest regressor-models scikit-learn

Last synced: 07 May 2026

https://github.com/pspanoudakis/machine-learning-nlp

NLP 🤖 📖 projects on Vaccine Sentiment Classification 💉 and Question Answering 💬

bert-fine-tuning glove-embeddings neural-networks pytorch question-answering rnn scikit-learn sentiment-classification softmax-regression squad

Last synced: 07 May 2026

https://github.com/sumdiboii/loan-prediction-decision-trees

A Decision Tree Classifier was implemented to predict personal loan acceptance using a dataset of 5,000 customers. Key features included income, education, mortgage, and credit card usage. The model achieved 97% accuracy, with 92% precision and 76% recall for positive loan predictions, validated using a classification report and confusion matrix.

classification data-visualisation decision-trees loan-prediction machine-learning python scikit-learn supervised-learning

Last synced: 07 May 2026

https://github.com/mwasifanwar/automl_framework

Comprehensive AutoML framework that automates data preprocessing, feature engineering, model selection, hyperparameter tuning, and deployment. Features neural architecture search and automated data cleaning pipelines.

automl automl-algorithms data-science data-science-projects feature-engineering feature-engineering-algorithm feature-engineering-ml hyperparameter-optimization machine-learning machine-learning-algorithms machine-learning-models mlops mlops-workflow python scikit-learn scikit-learn-python

Last synced: 07 May 2026

https://github.com/tedim52/discjockey

a content-based recommender system for your party playlist preferences

jupyter-notebook matplotlib pandas scikit-learn spotify-web-api

Last synced: 07 May 2026

https://github.com/jimmymugendi/bulding-a-decision-tree-to-predict-customer-churn

This repo desribes bulding a decision tree to predict customer churn in a given organisation

accuracy-score decision-tree-classifier matplotlib-pyplot numpy pandas-dataframe scikit-learn

Last synced: 07 May 2026

https://github.com/cnoret/hexa-watts

Interactive data visualization and machine learning app for energy consumption analysis and prediction in France, built with Streamlit. (Text in French)

data-visualization electricity-forecasting energy-analysis france machine-learning scikit-learn streamlit

Last synced: 07 May 2026

https://github.com/henrytseng/example_docker_scikit-learn

A quick example of using Scikit-Learn from a Docker container

docker scikit-learn

Last synced: 08 May 2026

https://github.com/anusha-me/disease-x-detection-ml-project

A machine learning classification system for early detection of Disease X based on patient symptoms using Python, Scikit-learn, and Streamlit.

classification data-science disease-prediction healthcare-ai machine-learning medicaldata scikit-learn streamlit

Last synced: 08 May 2026

https://github.com/aravindnathan02/machine-learning-projects

Machine Learning and Deep Learning projects which mainly focuses on predictive modeling.

deep-learning machine-learning neural-networks predictive-modeling python scikit-learn tensorflow

Last synced: 08 May 2026

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/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/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/seyha1007/amazon-reviews-analysis

🧐 This project analyzes Amazon Fine Food Reviews to investigate whether negative reviews are more emotionally intense and lexically repetitive than positive ones. Using R, we apply sentiment analysis and lexical diversity metrics to uncover patterns in consumer review language.

acp amazon-reviews bert data-analytics glove jupyter-notebook lstm-sentiment-analysis machine-learning nltk random-forest scikit-learn sentiment-classification sentimental-analysis support-vector-machine

Last synced: 08 May 2026

https://github.com/sundarmd/breast-cancer-detection

Breast-Cancer-Detection is a machine learning project that utilizes logistic regression to predict whether a tumor is benign or malignant based on the Breast Cancer Wisconsin (Diagnostic) dataset. The project demonstrates data preprocessing, model training, and evaluation using the `scikit-learn` library.

logistic-regression machine-learning python scikit-learn

Last synced: 09 May 2026

https://github.com/aasjunior/mlapp-api

Esta API fornece endpoints para aplicar algoritmos de aprendizado de máquina, como K-Nearest Neighbors (KNN), Árvore de Decisão e Algoritmo Genético. Realizado como tarefa da disciplina de Laboratório Mobile/Computação Natural no 5º Semestre de Desenvolvimento de Software Multiplataforma.

fastapi machine-learning python scikit-learn

Last synced: 09 May 2026

https://github.com/vijaykumarr1452/customer-churn-prediction

Analysis the data of telecom company and insights gained to reduce customer churn.

anaconda jupyter-notebook machine-learning pandas prediction scikit-learn

Last synced: 09 May 2026

https://github.com/radoslawregula/iris-classification

Jupyter notebook implementing an efficient machine learning method to classify flowers from the Iris data set.

classification iris-dataset jupyter-notebook machine-learning python scikit-learn softmax-classifier

Last synced: 09 May 2026

https://github.com/mayankanand007/yfraud

Credit card fraud detection platform using scikit-learn and xgboost 💳

knearest-neighbor-algorithm linear-regression machine-learning predictive-analytics python3 scikit-learn svm xgboost

Last synced: 09 May 2026

https://github.com/peterchain/titanic

Script for the Titanic dataset for evaluating which passengers survived

kaggle machine-learning pandas-dataframe python3 scikit-learn

Last synced: 09 May 2026

https://github.com/otuemre/viginids

VigiNIDS: A machine learning-based system for detecting malicious network traffic using the UNSW-NB15 dataset. It distinguishes between normal and attack activities, providing a data-driven approach to network security.

classification cybersecurity intrusion-detection-system machine-learning network-intrusion-detection python scikit-learn unsw-nb15 xgboost

Last synced: 09 May 2026

https://github.com/roggersanguzu/tomato-disease-detector

This project Uses transfer learning with MobileNetV2 to accurately classify tomato leaf diseases including Mosaic Virus, Septoria Leaf Spot, Blight, and Healthy leaves.

deep-learning python scikit-learn transfer-learning

Last synced: 09 May 2026

https://github.com/callmerajesh/ames-housing-price-prediction

Predicting house prices using Decision Tree Regressor on the Ames dataset

ames-housing data-science decision-tree machine-learning python regression scikit-learn

Last synced: 09 May 2026

https://github.com/saahilanande/naivebayes

Implimenting Naive Bayes classifier from scratch for sentiment analysis of IMDB dataset

machine-learning naive-bayes-classifier python-3 scikit-learn

Last synced: 09 May 2026

https://github.com/malisha4065/flightdelaypredictiongroup99

This project focuses on predicting flight delays in the United States domestic air traffic system over 500 000+ data using machine learning techniques. Leveraging a dataset from the Bureau of Transportation Statistics for the year 2020, we aim to develop a predictive model that can anticipate flight delays with 93.1 % high accuracy.

k-nearest-neighbors machine-learning python scikit-learn support-vector-machine

Last synced: 09 May 2026

https://github.com/jaswanthv99/basic_ml-model_understanding

This project explains basic ML-Models(KNN, Naive bayes, Logistic Regression, SVM, A neural N/W)

matplotlib-python pandas-python scikit-learn tensorflow

Last synced: 09 May 2026

https://github.com/piras-s/braincancerclassifier

Classifying brain tumors using Gaussian Naive Bayes with MRI-derived features. Includes feature selection, model evaluation, prediction uncertainty, and probability calibration.

baysian-inference calibrated-classification classification data-visualization feature-selection machine-learning medical-imaging naive-bayes-classifier python scikit-learn uncertainty-estimation

Last synced: 09 May 2026

https://github.com/njaffe/eda_example_2025

Sample end-to-end data analysis walkthrough using Python and Scikit-learn.

data-science data-visualization jupyter-notebooks machine-learning python regression scikit-learn

Last synced: 09 May 2026

https://github.com/vivprime/diabetes-prediction-system

MERISKILL INTERNSHIP: To predict whether an individual have Diabetes or not

django html scikit-learn

Last synced: 09 May 2026

https://github.com/bhoomikaniranjan/pulmotrainer

A Deep Learning-based Lung Cancer Detection application using a 3D CNN model with TensorFlow and OpenCV, featuring an interactive Tkinter GUI for easy data processing and training.

matplotlib numpy-pandas opencv python scikit-learn seaborn tensorflow-keras

Last synced: 09 May 2026

https://github.com/mpolinowski/fisher-discriminant-analysis

LDA is a widely used dimensionality reduction technique built on Fisher’s linear discriminant.

linear-discriminant-analysis matplotlib-pyplot python scikit-learn

Last synced: 10 May 2026

https://github.com/macdon112/credit-card-fraud-detection

Comparing ML models (Random Forest, KNN, Decision Tree) for credit card fraud detection using SMOTE and stratified cross-validation.

classification data-analysis fraud-detection imbalanced-data machine-learning python scikit-learn

Last synced: 10 May 2026

https://github.com/hassanislam463/nyc_airbnb_eda

This project is a comprehensive data analysis of Airbnb listings in New York City, exploring pricing trends, seasonality effects, host market dynamics, rental preferences, and revenue estimation. It provides valuable insights for hosts, investors, and policymakers to optimize Airbnb operations and understand the short-term rental landscape in NYC.

exploratory-data-analysis matplotlib python scikit-learn seaborn

Last synced: 10 May 2026

https://github.com/afonsojramos/feup-iart

Projects developed for Artificial Intelligence class.

feup feup-iart iart neural-network python scikit-learn tensorflow

Last synced: 10 May 2026

https://github.com/tnleite/real-estate-opportunities-analysis

Este repositório apresenta uma análise de oportunidades no mercado imobiliário, combinando séries temporais, clusterização e previsões para identificar estados com maior potencial de crescimento e orientar estratégias de expansão eficientes.

catboostregressor cluster-analysis data-science kmeans-clustering lightgbm-regressor machine-learning-algorithms numpy regression-models scikit-learn xgboost-regression

Last synced: 10 May 2026

https://github.com/i30101/mathworks2024

Coding tools for 2024 MathWorks Math Modeling Challenge

machine-learning mathematical-modelling python scikit-learn

Last synced: 10 Jun 2026

https://github.com/alphacrypto246/student-learning-style-prediction

An interactive web application built with Streamlit that predicts a student's preferred learning style (visual, auditory, or kinesthetic) using machine learning, aiding educators in personalizing teaching strategies.

machine-learning scikit-learn scikitlearn-machine-learning streamlit

Last synced: 11 May 2026

https://github.com/monarch1108/customerinsights-kmeans

understanding customers using KMeans and RFM(recency, frequency & monetary) analysis

data-analysis data-visualization kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn

Last synced: 11 May 2026

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

This repository is focus on show u my personal projects and interests on Machine Learning and Data Science. Hope u enjoy it.

data-science machine-learning machine-learning-models pandas python scikit-learn

Last synced: 11 May 2026

https://github.com/johannesvc/data-science-portfolio

A curated portfolio of applied data science projects focused on machine learning, NLP, and social impact.

academic-portfolio data-science deep-learning keras machine-learning media-bias nlp pandas scikit-learn

Last synced: 11 May 2026

https://github.com/sharvesh1401/inverse-design-patch-antenna

A machine learning approach to the inverse design of microstrip patch antennas by predicting optimal physical dimensions from desired performance metrics.

antenna-design deep-learning engineering-project gradio jupyter-notebook machine-learning patch-antenna python regression-model scikit-learn

Last synced: 11 May 2026

https://github.com/cptanalatriste/copycat-detector

A Naive-Bayes classifier for detecting plagiarism.

amazon-sagemaker naive-bayes-classifier scikit-learn

Last synced: 12 May 2026

https://github.com/capsuleismail/rt-iot2022

RT-IoT2022 is a dataset obtained from a real-time IoT infrastructure. This project aims to compare the accuracy of three machine learning models: XGBoost and LGBMClassifier.

datascience jupyter-notebook machinelearning-python scikit-learn

Last synced: 12 May 2026

https://github.com/johanneswiesner/skplot

A python package for extracting, plotting and reporting information from one or multiple sklearn classification & prediction pipelines.

plotting python scikit-learn sklearn visualization

Last synced: 14 May 2026

https://github.com/sedefkjamili/dengai-ml-prediction

Machine learning project for predicting dengue fever outbreaks using climate and environmental data.

data-science dengue gradient-boosting healthcare machine-learning python scikit-learn time-series

Last synced: 12 Jun 2026

https://github.com/muditnautiyal-21/mudra-ml

Glass-box autonomous data science in Python. Profiles data, builds leakage-safe pipelines, recommends and tunes models, and logs every decision behind the result.

automl classification clustering data-science explainable machine-learning pipeline python regression scikit-learn

Last synced: 12 Jun 2026

https://github.com/tomdewildt/interactive-and-explainable-ai-design

Code for The Interactive And Explainable AI Design course of my master's degree

jupyter lime numpy pandas python scikit-learn shap

Last synced: 18 Jun 2026

https://github.com/rb-thompson/machine-learning-basics

Implement a machine learning pipeline on the Iris flower dataset.

data-preprocessing data-visualization model-training python scikit-learn

Last synced: 18 Jun 2026

https://github.com/jayemscript/lab-to-code

A complete Python learning roadmap for scientists and researchers — covering data science, biology, chemistry, physics, and mathematics with curated libraries, tools, and resources.

bioinformatics chemistry data-science jupyter-notebook machine-learning mathematics numpy pandas physics python research roadmap scientific-computing scikit-learn

Last synced: 19 Jun 2026

https://github.com/hyoaru/anonalyze-process

A machine learning project part of the anonalyze initiative focused on sentiment and emotion classification through Natural Language Processing (NLP). Utilizing a Multinomial Naive Bayes classifier, this system analyzes Twitter data to predict sentiments (positive, negative, neutral) and emotions (sadness, joy, love, anger, fear, surprise).

feature-engineering machine-learning multinomial naive-bayes natural-language-processing python scikit-learn tf-idf

Last synced: 19 Jun 2026

https://github.com/royxlead/production-drift-detection

Production ML monitoring library - KL, PSI, MMD, and ADWIN drift detectors with empirical benchmarks, confidence tracking, and a 6-page FastAPI dashboard.

data-drift drift-detection fastapi kl-divergence mlops mmd model-monitoring production-ml psi pytorch scikit-learn uncertainty-quantification

Last synced: 23 Jun 2026

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/josepablodmg/python--linear-regression---housing-exercise

A predictive analysis exploring the relationship between household characteristics and median income in California. Using linear regression, the project investigates whether blocks with fewer households correspond to higher median incomes.

california data-analysis data-science exploratory-data-analysis housing-data linear-regression machine-learning python regression scikit-learn statistics visualization

Last synced: 05 Oct 2025

https://github.com/imosudi/unsupervised-ml-kmeans-analysis

K-Means clustering analysis using synthetic datasets generated with scikit-learn, including meshgrid visualisation, silhouette score evaluation, and investigation of cluster count and random seed effects.

clustering data-analysis jupyter-notebook kmeans kmeans-clustering machine-learning matplotlib python3 scikit-learn silhouette-score unsupervised-learning

Last synced: 25 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

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