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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/hariprasath-v/machinehack_analytics_olympiad_2023

Create a machine learning model to determine the likelihood of a customer defaulting on a loan based on credit history, payment behavior, and account details.

binaryclassification catboost exploratory-data-analysis machine-learning numpy pandas python scikit-learn shap

Last synced: 08 Apr 2026

https://github.com/lourdilene/guess-the-number

Number guessing game played between two players: human and computer. Basic Python project for studying object-oriented programming and machine learning with the scikit-learn library.

machine-learning oops-in-python scikit-learn

Last synced: 20 May 2026

https://github.com/priyanshulathi/cancer-diagnosis-prediction-model

A Machine Learning project to predict cancer malignancy using K-Nearest Neighbor, Support Vector Machine, and Decision Tree algorithms.

machine-learning numpy pandas python scikit-learn

Last synced: 03 Jan 2026

https://github.com/rinuya/ml-cancer-diagnosis

Binary classficiation using MLP & Random Forest

ml mlp random-forest scikit-learn

Last synced: 03 Jan 2026

https://github.com/barraharrison/seoul-bike-sharing

Performing EDA on a kaggle dataset to look at the distribution of Seoul's bike-sharing system

jupyterlab matplotlib numpy pandas python scikit-learn seaborn

Last synced: 23 Jul 2025

https://github.com/shendrew/coursescope

Machine learning for course classification by topics

beautifulsoup machine-learning nlp scikit-learn

Last synced: 09 Apr 2026

https://github.com/ledsouza/deep-learning-noticias

Este projeto visa construir dois modelos de Machine Learning: um para classificar notícias em diferentes categorias e outro para realizar o autocomplete de texto, prevendo a próxima palavra em uma frase. O conjunto de dados fornecido consiste em notícias de um site de notícias, já pré-processadas e armazenadas em um arquivo CSV.

deep-learning keras machine-learning python scikit-learn tensorflow

Last synced: 08 Mar 2026

https://github.com/alphacrypto246/insurance-charges-prediction

The Predicting Insurance Charges project uses Decision Tree Regression to predict insurance charges based on features like age, sex, BMI, and smoking habits. It involves data preprocessing, feature scaling, and model evaluation with metrics like MAE and R².

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 03 May 2026

https://github.com/v41bh4vr4jput/medical-diagnosis-assistant

Medical Diagnosis Assistant is a smart, multi-featured Python application that helps predict diseases based on symptoms and medical metrics using Machine Learning and Deep Learning techniques. It assists users in making informed decisions by analyzing health data and generating detailed PDF reports

logistic-regression pandas python random-forest requests scikit-learn seaborn

Last synced: 03 May 2026

https://github.com/radoslawregula/geo-music-classification

Jupyter notebook implementing a classification solution to the geographical origins of music problem.

classification jupyter-notebook machine-learning pandas python random-forest-classifier scikit-learn

Last synced: 17 Apr 2026

https://github.com/xprithvi/random-forest-regressor

This Jupyter notebook serves as a machine learning template to quickly make predictions and analyse feature importance in a dataset.

data-science feature-extraction machine-learning random-forest random-forest-regression scikit-learn

Last synced: 14 Mar 2025

https://github.com/hilalozdemirbuyukasik/deep-learning

A collection of deep learning projects demonstrating RNNs, BiLSTMs, CNNs, and basic neural networks applied to time series forecasting, text sentiment analysis, image classification, and tabular data tasks, with examples of data preprocessing, model training, evaluation, and visualization.

bilstm cnn keras matplotlib nn numpy rnn scikit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/shamikaredkar/nextbinge-old

NextBinge is a personalized movie recommender system designed to suggest movies similar to the ones you've watched and liked. It leverages content-based filtering, recommending movies by analyzing genres, keywords, cast, and crew information.

machine-learning nlp-machine-learning python scikit-learn scikitlearn-machine-learning streamlit streamlit-webapp

Last synced: 14 Mar 2025

https://github.com/eljandoubi/disasterresponsepipeline

Project aim is to build a Natural Language Processing (NLP) model to categorize messages on a real time basis.

flask nltk numpy pandas plotly scikit-learn scipy sqlalchemy

Last synced: 09 Apr 2026

https://github.com/armahdavi/data_pipeline_analytics_statistics_ML_PM_PSD_residential_QFF

Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782

data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics

Last synced: 17 Sep 2025

https://github.com/jazib-2004/face-mask-detection-using-cnns

Face mask detection can be very useful in environments like hospital emergency rooms or ICUs where wearing mask is mandatory. It can also help in pandemics like COVID where such models can detect if a person is wearing a mask or not. In this project, I used a Convolutional Nueral Network architecture to train a face mask detection algorithm based.

convolutional-neural-networks keras object-detection python scikit-learn tensorflow

Last synced: 08 Apr 2026

https://github.com/riyajain255/customer-segmentation-for-e-commerce

This project analyzes online retail data to segment customers using K-Means clustering and build classification models to predict those segments based on purchasing behavior.

customer-segmentation data-analysis kmeans-clustering logistic-regression machine-learning matplotlib numpy pandas python random-forest scikit-learn seaborn-plots

Last synced: 02 Apr 2026

https://github.com/rohanbanerjee1234567-cell/prediction-of-expected-salary-using-machine-learning

Here is my first Project Repository where I have made a Machine Learning Project using Python. The Problem statement was to train a model based on the given Dataset and from there we need to Predict the Expected Salary of an Employee who will have similar profiles.

exploratory-data-analysis linearregression matplotlib-pyplot numpy pandas randomforest randomforestregressor scikit-learn scikitlearn-machine-learning searborn visualization

Last synced: 27 Apr 2026

https://github.com/rajan-bhateja/machine-learning-with-python

Machine learning algorithms implemented using Scikit-learn

classification clustering machine-learning regression scikit-learn sklearn

Last synced: 17 May 2026

https://github.com/cesar312/python-data-science-toolbox

A collection of useful data science tools and techniques

data-science jupyter-notebook pandas python scikit-learn statistics visualization

Last synced: 13 Apr 2026

https://github.com/sabbadini10/job4you

Job4You is an AI-powered job application assistant that streamlines the entire application process. Built on Angular and Firebase with GPT-4 integration.

angular api ats-optimization cover-letter email-automation firebase jobforall openai-api python resume-builder scikit-learn sheraz sherazhussain sherazhussain546

Last synced: 04 Mar 2026

https://github.com/scorchinghot/core-machine-learning-exploration

This repository provides a hands-on exploration of classical machine learning algorithms applied to the MovieLens 100k dataset, aiming to build intuition and understanding of core ML concepts.

core-ml data-science hands-on machine-learning ml-algorithms python scikit-learn tutorial

Last synced: 05 Oct 2025

https://github.com/katiebristol/epsilon_fe2o3_controls

Exploratory Data Analysis using machine learning techniques as an exercise for GLY6932 (Data Science and Machine Learning Methods in the Geosciences) at the University of Florida.

biplot exploratory-data-analysis k-means-clustering machine-learning one-hot-encoding paleomagnetism principal-component-analysis random-forest rock-magnetism scikit-learn

Last synced: 19 May 2026

https://github.com/omerdduran/riskfactor-heart

This ML project predicts heart disease using logistic regression on the Cleveland Heart Disease UCI dataset, featuring advanced preprocessing and medical feature engineering, achieving 82.1% accuracy with strong cross-validation.

cardiovascular-health data-science data-visualization heart-disease-prediction logistic-regression machine-learning medical-ai scikit-learn

Last synced: 14 May 2026

https://github.com/davidcgong/birddog.io

Real estate forecasting using Zillow Research data

forecasting pandas scikit-learn

Last synced: 19 May 2026

https://github.com/jofaval/ionosphere

Binary Classification of Ionosphere signals at Goose Bay, Labrador in 1988

data-analysis data-science data-visualization deep-learning google-colab keras machine-learning python scikit-learn tensorflow uci xgboost

Last synced: 09 Apr 2026

https://github.com/jain1shh/solar-flare-prediction

This repository contains code and data for predicting solar flare energy ranges using machine learning, based on NASA's RHESSI mission data. It includes preprocessing of FITS files into a unified CSV dataset and implements models like Gradient Boosting, Random Forest, and Decision Tree classifiers, achieving accuracies up to 87%.

data-visualization machine-learning numpy pandas python scikit-learn solar-flare-prediction

Last synced: 09 Apr 2026

https://github.com/dhanraj-parigi/diabetes_prediction_app

🩺 A simple and interactive web app that predicts diabetes using 🧠 machine learning. 🚀 Built with Python, Streamlit, and the 🧮 Pima Indians Diabetes dataset.

ai-in-healthcare classification data-science diabetes-prediction health-check healthcare-ai jupyter-notebook machine-learning ml-project pandas python random-forest scikit-learn streamlit

Last synced: 09 Apr 2026

https://github.com/mirzaazwad/tymbert

TYMBert is our submission for NCIM 2025, a spam classifier that makes use of knowledge distillation to compress the model while preserving accuracy

bert huggingface-transformers knowledge-distillation machine-learning matplotlib numpy pandas python3 scikit-learn tiny-bert torch

Last synced: 09 Apr 2026

https://github.com/shafaq-aslam/predicting-heart-disease-risk-with-logistic-regression-techniques

Develop a predictive model using logistic regression techniques to assess heart disease risk based on patient health metrics and data analysis.

data-analysis heart-disease logistic-regression machine-learning machine-learning-models matplotlib numpy pandas python scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/stefagnone/text_adventure_game

A text-based adventure game project using Python fundamentals

matplotlib numpy pandas python r scikit-learn seaborn sql

Last synced: 09 Apr 2026

https://github.com/shauryashaurya/marty_mcfly

Code, text and notebooks on a tutorial for Introduction to Machine Learning using open sources

anaconda jupyter-notebooks machine-learning machine-learning-tutorials notebook numpy python regression scikit-learn scipy tutorial

Last synced: 09 Apr 2026

https://github.com/shubhamgoyal575/credit-card-fraud-detection

📌 Credit Card Fraud Detection using Machine Learning This project focuses on detecting fraudulent credit card transactions using machine learning models like Random Forest, XGBoost, and Deep Learning. The dataset is preprocessed to handle class imbalance, and multiple models are evaluated based on ROC AUC Score and F1 Score.

adaboost-classifier artificial-neural-networks credit-card-fraud data-analysis data-cleaning data-preprocessing data-science data-visualization deep-learning exploratory-data-analysis lightgbm machine-learning machine-learning-algorithms random-forest-classifer scikit-learn tensorflow xgboost

Last synced: 08 Feb 2026

https://github.com/vibhore-sagar/stock-movement-analysis-based-on-social-media-sentiment

This project aims to develop a machine learning model that predicts stock movements by analyzing sentiment in social media discussions (Reddit posts).

joblib numpy pandas praw python scikit-learn textblob-sentiment-analysis yfinance

Last synced: 09 Apr 2026

https://github.com/lopez86/datascienceexamples

Examples of various data science & data analysis topics using various sources of data.

data-analysis data-science pandas scikit-learn tutorial visualization

Last synced: 13 Apr 2026

https://github.com/freakwill/dred

🔴 dred = dimension reducing for machine learning (suit to sklearn)

dimension-reduction scikit-learn sklearn sklearn-estimator

Last synced: 19 May 2026

https://github.com/rajan-bhateja/Machine-Learning-with-Python

ML/DL projects done using sklearn and TensorFlow

machine-learning scikit-learn sklearn

Last synced: 28 Jul 2025

https://github.com/ajxxxs/spotify-music-analysis

spotify Music (web scraped playlists ) analysis (over 3 states) , trends, features and a music recommendation system.

matplotlib numpy panda scikit-learn seaborn

Last synced: 28 Jul 2025

https://github.com/anuranjanjain/cardioguide

This is the project that I created for DSN 2 at VIT , As its name suggests it will help you to check for any abnormalities with your heart by giving the "Heart Risk Assessment"

chartjs chatbot flask-application mlmodel pandas pickle python rest-api scikit-learn

Last synced: 20 Jan 2026

https://github.com/somjit101/ds-logistic-regression

A simple implementation of the Logistic Regression Classifier on the Breast Cancer Dataset with L1 regularization and GridSearch for hyperparameter tuning.

breast-cancer-prediction breast-cancer-wisconsin grid-search grid-search-cross-validation hyperparameter-tuning logistic-regression machine-learning-algorithms regularization scikit-learn

Last synced: 19 May 2026

https://github.com/rafay-imraan/email-spam-filtering

Machine learning models that filter spam emails from a dataset downloaded from kaggle.com.

machine-learning ml pandas python scikit-learn xgboost

Last synced: 20 Jan 2026

https://github.com/agrawalchaitany/product_recommendation

Smart Product Recommender is an AI-driven platform using web scraping and machine learning to deliver personalized shopping recommendations by analyzing product data and user preferences.

beautifulsoup cosine-similarity jupyter-notebook pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/gangula-karthik/altitude-analytics

Developed a powerful model that predicts airline review sentiments—promoter, passive, or detractor—to help airlines sharpen their marketing strategies and boost customer loyalty 🚀 ✨

airlines data-science machine-learning python scikit-learn sentiment-analysis supervised-learning

Last synced: 15 Apr 2026

https://github.com/iamjuniorb/d499-supervised-learning

This class for machine Learning presents the end-to-end process of investigating data through a machine learning lens.

machine-learning project python python3 scikit-learn scikit-learn-python scikitlearn-machine-learning supervised-learning supervised-machine-learning

Last synced: 16 May 2026

https://github.com/nika2811/new-york-city-taxi-fare-prediction

About In this project using New York dataset we will predict the fare price of next trip. The dataset can be downloaded from https://www.kaggle.com/kentonnlp/2014-new-york-city-taxi-trips The dataset contains 8 features along with GPS coordinates of pickup and dropoff

data data-preprocessing data-visualization decision-trees feature-engineering kaggle kaggle-competition linear-regression machine-learning neural-network nyc polynomial-regression ridge-regression scikit-learn taxi taxi-data tensorflow xgboost

Last synced: 06 Apr 2025

https://github.com/kavyachouhan/fake-news-detection-dravidian-language

This repository contains the code and resources for a machine learning project focused on detecting fake news in the Malayalam language, developed as part of the IITM-PAN BS AI-ML Challenge.

jupyter-notebook machine-learning numy pandas python scikit-learn

Last synced: 08 Feb 2026

https://github.com/antrita/stroke_prediction_model

A model that combines Kaggle's Stroke Prediction Dataset with live weather/air quality data to implement FDA-compliant MLOps pipeline and shows expertise in healthcare regulations and real-time inference.

ai data-analysis deep-learning kaggle-dataset machine-learning prediction-model random-forest real-time scikit-learn streamlit weather-api xgboost

Last synced: 07 May 2026

https://github.com/nathadriele/transaction_fraud_prevention_pipeline

Uma solução de detecção e prevenção de fraudes em transações financeiras, combinando Machine Learning, regras de negócio e análises estatísticas avançadas. O sistema oferece um dashboard interativo para monitoramento em tempo real, análise de dados e gestão de alertas de fraude.

data-analysis data-visualization docker fraud-prevention machine-learning matplotlib numpy pandas pipeline pytest python scikit-learn scipy seaborn streamlit tensorflow transaction xgboost

Last synced: 10 Apr 2026

https://github.com/subratamondal1/machine-learning

Machine Learning Notes with tools like Numpy, Pandas, Scikit-Learn.

machine-learning numpy pandas scikit-learn

Last synced: 10 Apr 2026

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

Credit Card Fraud Detection using machine learning to distinguish fraudulent transactions from legitimate ones. This project includes data analysis, model training, and evaluation to achieve high accuracy and recall, minimizing false negatives for better fraud detection

machine-learning python random-forest-classifier scikit-learn

Last synced: 12 Apr 2026

https://github.com/huucanh0511/startup-profitability-prediction

This project predicts startup profitability using Logistic Regression and Random Forest, analysing financial (funding amount, funding rounds, revenue), market (market share), and operational (startup age, employee count) factors. It evaluates AUC, accuracy, precision, recall, and F1-score, addressing underfitting, overfitting, and feature selection

ai-for-finance data-science financial-modelling logistic-regression machine-learning predictive-analytics python random-forest scikit-learn startup-analysis

Last synced: 19 May 2026

https://github.com/080bct12alex/nepalestate

A real estate price prediction web app using machine learning, Next.js and Flask

flask-api mlp-regresor nextjs scikit-learn

Last synced: 31 Jul 2025

https://github.com/arrhythmia-detection/authorfeatureextracteddecisiontreeesp32s3

Deploys a vanilla non-optimized Decision Tree for Arrhythmia classification using Chapman ECG dataset on ESP32-S3 dev kit

arrhythmia-classification decisiontreeclassifier eloquent esp32-arduino esp32-s3 scikit-learn

Last synced: 19 May 2026

https://github.com/idaraabasiudoh/drug_prescribtion_decision_tree_model

This repository contains a machine learning project focused on classifying drugs based on patient characteristics using a Decision Tree classifier. The project uses Python and popular data science libraries such as scikit-learn, pandas, and matplotlib.

data-analysis jupyter-notebook machine-learning python3 scikit-learn

Last synced: 10 Apr 2026

https://github.com/lanhhoang/toronto-bicycle-thefts-classifier

A predictive service using Toronto Police Open Data to provide a classification of either the bike is likely to be returned or not

clustering decision-trees flask logistic-regression machine-learning python scikit-learn streamlit

Last synced: 04 May 2026

https://github.com/bgmp/svm

Support Vector Machine implementation written in Python

iris-dataset scikit-learn svm

Last synced: 31 Jul 2025

https://github.com/anty-filidor/cyberbullying-detector

NLP bullying detector for tweets with ML model training pipeline deployed as web-app with CICD

deployment-system flask-api machine-learning nlp python scikit-learn

Last synced: 19 May 2026

https://github.com/vigneshvaranasi/breast_cancer_detection

This project employs machine learning, focusing on Logistic Regression, to detect breast cancer using tumor-related features. The dataset is preprocessed, and the model achieves 100% accuracy on the test set. The goal is to gain insights into breast cancer factors and provide an effective detection solution.

jupyter machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 09 Apr 2026

https://github.com/sridharyadav07/machine-learning-project-bankruptcy-prevention-

The project explores multiple machine learning algorithms and evaluates their performance using various metrics, such as accuracy and confusion matrices. The models tested include Logistic Regression, K-Nearest Neighbors (KNN), Naive Bayes, and Support Vector Machine (SVM). In addition, regularization techniques (L1, L2) are used to avoid overfit.

data-preprocessing evaluation machine-learning-models matplotlib-pyplot modelbuilding modeldeployment numpy pandas python scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/apal21/tensorflow-pima-indians-dataset-classification

Pima Indians Dataset classification using Tensorflow Linear Classifier and DNN Classifier.

classification deep-neural-networks kaggle linear-classifier pandas pima-indians-dataset scikit-learn tensorflow

Last synced: 09 Apr 2026

https://github.com/presizhai/iris-predictor-fastapi

A web application for predicting the species of Iris flowers using a machine learning model trained with the Iris dataset, with FastAPI, a modern web framework for building APIs.

essemblelearning fastapi python random-forest-classifier scikit-learn uvicorn

Last synced: 25 Dec 2025

https://github.com/oroszgy/cookiecutter-ml-flask

Cookiecutter template for training and serving machine learning models with scikit-learn, spacy, Flask and Docker

docker flask flask-application machine-learning nlp rest-api scikit-learn spacy

Last synced: 09 Apr 2026

https://github.com/kiapanahi/handson-machine-learning-book-playground

Sample codes and practices around the book "Hands-On Machine Learning with Scikit-Learn and TensorFlow"

machine-learning python scikit-learn tensorflow

Last synced: 09 Apr 2026

https://github.com/sanalislokuge/breast-cancer-ml-prediction

Machine Learning project using classification, regression, and ensemble techniques to predict breast cancer mortality status and survival months using clinical data. Built with scikit-learn, decision trees, logistic regression, and Naïve Bayes. Includes detailed model evaluation, data preprocessing, and interpretability.

classification data-science decision-tree ensemble-learning healthcare-analytics machine-learning ml models naive-bayes-classifier predictive-modeling regression scikit-learn

Last synced: 19 May 2026

https://github.com/mtlh/fyp_prempredict

In PremPredict, players will predict all Premier League games. Compete against the algorithm and other users across a full season. Scoring points for every correct result/prediction.

django prediction premierleague python scikit-learn tailwindcss

Last synced: 09 Apr 2026

https://github.com/0xunkn0wn4m1r/data_engineering_banking_project

🏦 Build a complete data engineering workflow for a banking system, showcasing ETL processes, data transformations, and an interactive financial dashboard.

automation data-analysis data-cleaning data-science feature-engineering fintech-bank flask-api loan-default-prediction machine-learning mlops model-explainability numpy postgresql scikit-learn segmentation shap sql unsupervised-learning

Last synced: 09 Apr 2026

https://github.com/alexgoodison/boxbox

F1 Race Visualiser & Overtake Prediction Model 🏎️

fastapi keras nextjs scikit-learn

Last synced: 09 Apr 2026

https://github.com/ranimeshehata/feed-forward-neural-network-on-mnist

A PyTorch-based project for classifying the MNIST dataset using Feed Forward Neural Networks, including training, validation, results and visualization.

feedforward-neural-network matplotlib mnist python3 pytorch scikit-learn torchvision

Last synced: 11 Apr 2026

https://github.com/martinkersner/kmeans-meetup

Presentation about k-Means for Seoul AI Meetup on July 22, 2017.

kmeans numpy python scikit-learn

Last synced: 03 May 2026

https://github.com/saniyaacharya04/resume-scanner-using-nlp

A live resume scanning and ranking tool built with Python, Streamlit, and NLP. Upload resumes, match them to job descriptions, and generate analytics dashboards and PDF reports.

dashboard job-matching nlp pdf-parser resume-scanner scikit-learn spacy streamlit transformers

Last synced: 03 May 2026

https://github.com/mrmalik2512/catsvsdog.github.io

A CNN model integrated with flask backend the project is trained on image data of dogs and cats and integrated with a website predicts the given image is dog or a cat

deep-learning numpy python scikit-learn tensorflow

Last synced: 09 Apr 2026

https://github.com/lefteris-souflas/modern-slavery-analysis

Jupyter notebook using machine learning techniques to explore the complex drivers of modern slavery. Models from a research paper are replicated and evaluated . Actions also include filling missing data, training regression models, and analyzing feature importance.

decision-tree feature-importance grid-search-cv imputation jupyter-notebook lasso-regression linear-regression matplotlib mean-absolute-error numpy pandas preprocessing principal-component-analysis python3 random-forest ridge-regression scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/sudarshanc00/brain-tumor-classification

This project uses a deep learning model in PyTorch to classify brain MRI images into four tumor types, aiding early diagnosis and treatment planning. Two ResNet-based models were developed and optimized, achieving high accuracy to support healthcare professionals in identifying tumor categories.

matplotlib numpy pytorch resnet scikit-learn streamlit

Last synced: 10 Apr 2026

https://github.com/nurulashraf/telco-customer-churn-prediction-model

This repository contains a Telco Customer Churn Prediction project using machine learning. It includes data preprocessing, exploratory data analysis, feature engineering, and model development to predict customer churn. Key tools used are Python, Pandas, NumPy, Matplotlib, Seaborn, and scikit-learn.

churn-prediction classification-model customer-churn data-visualization exploratory-data-analysis machine-learning predictive-analytics python scikit-learn

Last synced: 16 Mar 2025

https://github.com/manishkumarpatel07/heartattack_risk_prediction

"Heart Attack Risk Prediction" uses machine learning to estimate the likelihood of a heart attack based on user-provided data like physical attributes, symptoms, and medical history. This system enables remote screening, identifying high-risk individuals, and easing medical system burdens by providing early, data-driven health risk assessments.

boruta knn-algorithm matplotlib numpy pandas python scikit-learn

Last synced: 09 Apr 2026

scikit-learn Awesome Lists
awesome-python-data-science 382 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 53 Machine Learning 43 General 30 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