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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/vijay-saravanan/advanced-human-life-detection

Portable, real-time embedded system using mmWave radar, microphone, and accelerometer sensor fusion with advanced signal processing and machine learning to detect and locate humans trapped under debris. Features rapid alerts via LCD, LED, buzzer, and is designed for Raspberry Pi deployment in disaster scenarios.

disaster-recovery dwt fft landslide machine-learning random-forest-classifier scikit-learn sensor-fusion sensors-data-collection signal-processing vital-signs

Last synced: 14 May 2026

https://github.com/sabin74/loan_approval_prediction

This project predicts whether a loan application will be approved or not using machine learning classification models. The dataset used is from Kaggle’s Loan Prediction problem. The goal is to build a robust model to assist banks or financial institutions in making automated loan approval decisions.

classification-models kaggel-dataset loan-approval-prediction matplotlib-seaborn pandas python scikit-learn

Last synced: 30 Apr 2026

https://github.com/kylehperez/mushroomnet

This API is for research purposes ONLY and is NOT to be used for food-safety or medical advice. Mushroomnet is a machine learning neural network for classifying mushrooms as poisonous or edible. The model was trained on data from uni.edu: over 5,000 instances of mushrooms, with 22 qualitative features and a determination of poisonous or edible.

artificial-intelligence botany flask-api machine-learning mycology neural-network numpy python3 pytorch scikit-learn

Last synced: 09 Apr 2026

https://github.com/elam-parithi/singapore_flatprice_predicting

Flat price prediction with Machine learning tools and python.

matplotlib numpy pandas scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/ledsouza/machine-learning-client-satisfaction

Este projeto tem como objetivo construir um modelo de Machine Learning capaz de prever a satisfação de clientes de uma companhia aérea.

cross-validation hyperparameter-optimization machine-learning machine-learning-algorithms mlxtend one-hot-encoding pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/aravind-selvam/student_exam_performance_predictor

Sample Machine learning project, The project uses Sklearn’s regression techniques such as XGboost and Random forests to train and test the model on student data. Deployed on Heroku with Flask application

flask-application heroku machine-learning python scikit-learn

Last synced: 10 Apr 2026

https://github.com/ankitsharma-tech/classification-of-arrhythmia-using-ecg-data

A machine learning project to detect and classify arrhythmias from ECG signals using Python, scikit-learn, and TensorFlow. Includes data preprocessing, model training, and evaluation.

arrhythmia biomedical-signal-processing cardiology classification deep-learning ecg ecg-classification healthcare machine-learning mit-bih-dataset numpy python scikit-learn scipy signal-processing tensorflow time-series-analysis

Last synced: 07 Apr 2026

https://github.com/narendhiran-dev/predictive-analytics-for-repayment-predictions

A machine learning API built with Python, FastAPI, and Scikit-learn to predict borrower repayment risk based on historical payment data. A FinTech risk assessment system that uses a Random Forest model to predict a borrower's future repayment behavior and serves the prediction via a REST API.

data-science fastapi fintech loan-prediction loan-prediction-analysis machine-learning machine-learning-algorithms predictive-modeling python random-forest random-forest-classifier random-forest-regression rest-api risk-assessment scikit-learn scikit-learn-api scikit-learn-python

Last synced: 13 Apr 2026

https://github.com/oceanuz/house-sales-price-prediction

This project focuses on predicting house sale prices in King County, USA using regression-based machine learning models. The dataset is cleaned, explored, and analyzed to understand key factors affecting housing prices. Multiple regression techniques are applied and evaluated using R² score to compare model performance and interpret results.

data-science eda house-price-prediction machine-learning python real-estate regression scikit-learn

Last synced: 10 Apr 2026

https://github.com/programmergnome/ann-modeling

Artifical neurons and neural networks modeling repo. Only for learning!

chatgpt deep-learning machine-learning natural-language-processing python pytorch scikit-learn tensorflow

Last synced: 10 Apr 2026

https://github.com/amithjoseph777/gourmethaven-case-competition

Predictive analytics case competition project from the Master of Science in Business Analytics course at the College of Business, University of Louisville. Our team analyzed customer response trends for Gourmet Haven, developed a predictive model, and ranked in the Top 5 out of 25 teams.

google-colab jupyter-notebook numpy pandas r scikit-learn

Last synced: 10 Apr 2026

https://github.com/izhaan0/predict-marks-based-on-study-hours

Student Marks Predictor is a machine learning project that predicts a student’s exam scores based on the number of study hours. It uses Linear Regression to learn the relationship between study hours and marks, and provides both command-line and interactive Streamlit web interfaces for prediction and visualization.

data-visualization joblib jupyter-notebook machine-learning machine-learning-algorithms matplotlib-pyplot numpy pandas pandas-dataframe pickle python scikit-learn seaborn

Last synced: 05 Apr 2026

https://github.com/hanannazri/predictive-customer-churn-modelling-with-price-sensitivity-insights-

As a part of BCG Data Science Project, I developed a predictive churn-risk model for XYZ energy utility by engineering price, consumption and contract features and training XGBoost and Random Forest models to identify customers most likely to churn at current prices.

bcgx data-visualization exploratory-data-analysis feature-engineering jupyter jupyter-notebook model-training-and-evaluation numpy pandas random-forest scikit-learn xgboost

Last synced: 19 Aug 2025

https://github.com/tapas-gope/telecommunication-customer-churn

This project involves predicting customer churn in a telecommunications company using machine learning techniques, exploring various features' impact, optimizing models, and identifying key factors influencing churn.

feature-engineering matplotlib-pyplot model-evaluation-and-validation numpy pandas python scikit-learn

Last synced: 12 Sep 2025

https://github.com/josugoar/digit-recognizer

Digit recognizer full stack web app and classifier

flask jquery opencv scikit-learn

Last synced: 12 Sep 2025

https://github.com/davipythonweb/price_api

API de Previsão de Preço de casa com python/Machine-Learn

flask machine-learning pickle python python-dotenv scikit-learn venv

Last synced: 10 Apr 2026

https://github.com/rihua-tech/iris-ml-end-to-end

End-to-end Iris classification in Python: EDA → stratified CV → model comparison → SVM grid search → hold-out test → model persistence.

classification eda machine-learning python scikit-learn svm

Last synced: 14 May 2026

https://github.com/venky-1710/superhero-recruitment

Superhero Recruitment System predicts hero selection using machine learning. Users input hero attributes through a web interface. A Random Forest model analyzes abilities, strengths, weaknesses, success rates, and missions completed. The Flask app displays results, showing if a hero is selected.

css flask html numpy pandas python scikit-learn

Last synced: 07 Apr 2026

https://github.com/rtmigo/skifts_py

Search for the most relevant documents containing words from a query. Uses Scikit-learn and Numpy

cosine-similarity information-retrieval numpy python scikit-learn text-mining tf-idf

Last synced: 19 Aug 2025

https://github.com/fahrettinsolak/ai-map-based-geographic-clustering-project

This project focuses on clustering crime incidents in San Francisco using the K-Means algorithm. The dataset is obtained from Kaggle and contains information about crime types, geographical coordinates, and other relevant features. The goal is to identify crime hotspots through geographic clustering and visualize the clusters on an interactive map.

artificial-intelligence deep-learning elbow-method jupyter-notebook machine-learning numpy openstreetmap pandas phyton plotly scikit-learn standardscaler

Last synced: 05 Apr 2026

https://github.com/lorenzorottigni/ml-houses

Machine Learning python bootcamp: linear regression on houses model

ipynb linear-regression machine-learning numpy pandas python scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/donmaruko/sentiment-analysis-api

Flask-based API for sentiment analysis using deep learning models and includes endpoints for text and file input, database storage, and integrated Swagger documentation.

api deep-learning deep-neural-networks flask keras lstm machine-learning neural-network rnn scikit-learn scikitlearn-machine-learning sklearn sqlite3 swagger swagger-ui tensorflow

Last synced: 10 Apr 2026

https://github.com/nickklos10/compressive-strenght-prediction

This project predicts concrete compressive strength using a neural network regression model built with Keras.

jupyter-notebook keras matplotlib numpy pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/akansharajput280799/data-driven-insights-into-job-satisfaction-and-compensation-trends

This project analyzes 2020 employee data to identify factors influencing job satisfaction, performance, and salary differences, offering insights for improving engagement and workplace strategies.

cluster-analysis colab-notebook data-cleaning descriptive-statistics factor-analysis hypothesis-testing jupyter-notebook matplotlib python scikit-learn seaborn t-test visualization

Last synced: 18 Apr 2026

https://github.com/yuji1702/ai--powered-triage-system

This project implements a machine learning-based triage system for emergency rooms, which classifies patients based on their symptoms and vitals using a Random Forest Classifier. The system features real-time patient data integration, a user-friendly GUI built with Tkinter, and secure patient data encryption using Fernet from the cryptography lib

cryptography data-imputation data-preprocessing data-security encryption gui healthcare machine-learning matplotlib medical-data python random-forest realt-time scikit-learn seaborn tkinter triage-system

Last synced: 05 Apr 2025

https://github.com/karthikarajagopal44/data-analysis-using-python-libraries-

The COVID-19 pandemic has significantly impacted India, necessitating a detailed analysis of the virus’s spread within the country. In this project, we explore an India-specific COVID-19 dataset, leveraging Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.

data-cleaning data-visualization matplotlib numpy pandas python python3 scikit-learn seaborn

Last synced: 07 Apr 2026

https://github.com/abdulshaikh55/ml-involuntary-denied-boarding

A machine learning model that predicts whether you will be denied onboarding your plane.

first-timers ipynb machine-learning scikit-learn

Last synced: 29 Apr 2026

https://github.com/marknature/machine-learning-intern

Machine Learning tasks involving the Titanic Dataset and Breast Cancer Wisconsin (Diagnostic) dataset

data-analysis github jupiter-notebook machine-learning matplotlib numpy pandas python scikit-learn sklearn

Last synced: 10 Apr 2026

https://github.com/lukacerr/lovelytics

Lovelytics technical task for AI engineer position

ai-agents deepagents langchain ml python scikit-learn

Last synced: 31 May 2026

https://github.com/libra33a/retinopathy-ai

👁️ Detect Diabetic Retinopathy from retinal images using a CNN model in PyTorch, ensuring early intervention and reducing vision loss risks.

ai cnn-classification deep-learning healthcare-ai heidisql kaggle-competition machine-learning medical-imaging neural-network onnxruntime python pytorch resnet-152 retinal-fundus-images retinopathy scikit-learn tensorflow tkinter-gui

Last synced: 10 Apr 2026

https://github.com/aymen016/cosmic-mystery-challenge-2912

"Explore the depths of space and unravel cosmic mysteries in the year 2912 with our Cosmic Mystery Challenge repository. Dive into data science adventures as you predict the fate of passengers aboard the Spaceship Titanic after a collision with a spacetime anomaly. Join us in reshaping history and saving lives across the universe!"

kaggle matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python scikit-learn scikitlearn-machine-learning seaborn

Last synced: 10 Apr 2026

https://github.com/jupitvq/simple-uib-assistant

Chatbot sederhana berbasis machine learning untuk membantu mahasiswa memberikan informasi seputar akademik & administrasi UIB.

chatbot machine-learning scikit-learn virtual-assistant

Last synced: 05 Apr 2025

https://github.com/yasolg/ml-bootcamp

⚡ Master machine learning in 10 days with this interactive, open-source bootcamp. Learn Python basics to production ML at no cost.

chatgpt crewai data-science deep-learning jose-portilla langchain langgraph large-language-models llama matplotlib-pyplot mlops ollama python satellite-imagery scikit-learn tensorflow tensorflow2 udemy-course-project

Last synced: 15 Apr 2026

https://github.com/jeniljani-4444/end-to-end-car-price-prediction-model

Predict car prices effortlessly using this machine learning model. Built with Python and Scikit-learn it analyzes features like mileage age brand and more to estimate accurate prices. Perfect for buyers sellers and dealerships.

machine-learning matplotlib numpy pandas python scikit-learn seaborn streamlit

Last synced: 10 Apr 2026

https://github.com/yanne0800/lung_cancer_prediction

This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.

algorithm classification cnn decision-tree-classifier decision-trees deep-learning gradientboosting keras lung-cancer medical-image-processing navies-bayes-classifer neuralnetworks python scikit-learn

Last synced: 05 May 2026

https://github.com/audy21/data-exploratory-portfolio

An advanced visualizations from my recent practices.

matplotlib nltk pandas plotly scikit-learn seaborn tensorflow

Last synced: 27 Aug 2025

https://github.com/arrhythmia-detection/authorfeatureextracteddecisiontreeoptimizedesp32s3

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

arrhythmia-classification decision-tree-classifier decision-trees eloquent esp32-arduino esp32-s3 scikit-learn

Last synced: 27 Aug 2025

https://github.com/rohitdusane/spam-classification-model

A Python-based machine learning model for spam detection leveraging TF-IDF vectorization and multiple classifiers, including Naive Bayes, Logistic Regression, and Random Forest. This project demonstrates preprocessing techniques, model training, and performance evaluation for classifying SMS messages as spam or ham.

data-science flask mlflow natural-language-processing scikit-learn spam-detection text-classification

Last synced: 19 Apr 2026

https://github.com/lakshitalearning/codsoft

Machine Learning Projects - CODSOFT Internship: This repository showcases my machine learning projects completed during my internship at Codsoft. It demonstrates my skills in developing innovative solutions using various ML techniques and tools.

churn-prediction codsoft codsoftinternship deep-learning handwritten-text-recognition internship-project keras machine-learning python rnn-tensorflow scikit-learn spam-detection

Last synced: 11 Feb 2026

https://github.com/davidyslu/PokemonRecognition

Recognize Pokemon's image using scikit-learn in Python

knn-model python scikit-learn svm-model

Last synced: 29 Aug 2025

https://github.com/murshidazher/recommendation-system

🎥 Building a recommendation system using python

python recommendation-engine scikit-learn suprise

Last synced: 08 May 2026

https://github.com/gana36/credit-card-fraud-detection

Production MLOps pipeline for fraud detection with automated testing, monitoring, and zero-downtime deployments

docker evidently fastapi fraud-detection grafana machine-learning mlflow mlops postgresql prometheus scikit-learn

Last synced: 10 Apr 2026

https://github.com/myahninsi/credit_card_fraud_detection

This repository is for the Neural Networks and Deep Learning Course - Assignment 1, focusing on credit card fraud detection. The project utilizes a machine learning model to predict whether a transaction is fraudulent using a synthetic credit card dataset.

matplotlib numpy pandas pickle python scikit-learn seaborn streamlit

Last synced: 09 Apr 2026

https://github.com/mohammedhaq/safestream

SafeStream is a machine learning project that utilizes machine learning to predict the potability of water. By analyzing various water quality parameters, SafeStream helps in determining whether a water source is safe for consumption. This project leverages Python, PyTorch, and scikit-learn.

logistic-regression machine-learning neural-network python pytorch scikit-learn

Last synced: 23 Jul 2025

https://github.com/jainish-prajapati/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: 30 Dec 2025

https://github.com/dadvaiahpavan/ats-system

This AI-driven Applicant Tracking System (ATS) is a cutting-edge solution designed to revolutionize the recruitment process by providing intelligent resume analysis and matching capabilities.

google-generativeai nltk pandas plotly python-docx scikit-learn spacy streamlit

Last synced: 05 Apr 2026

https://github.com/jerinpious/house-price-prediction

This project is a machine learning-based application to predict house prices. A frontend interface has been developed using Streamlit to make the prediction process user-friendly for regular customers. The project is structured

data-analysis data-engineering data-science eda machine-learning pandas python random-forest scikit-learn streamlit

Last synced: 05 Apr 2026

https://github.com/okerx/spotifymoods

A simple ML model to classify Spotify tracks using audio features.

machine-learning pandas python scikit-learn

Last synced: 09 May 2026

https://github.com/ramyacp14/sentimentanalysis

Implements a sentiment analysis model to determine the emotional tone behind text, helping understand attitudes, opinions, and emotions in online mentions.

machine-learning natural-language-processing nltk numpy pandas python scikit-learn

Last synced: 07 Apr 2026

https://github.com/adhishnanda/motion-based-german-learning-app

AI-powered language learning app with gesture recognition (MediaPipe + ML/DL models), real-time interaction, spaced repetition, and full React/TypeScript UI. Demonstrates ML engineering, computer vision, and frontend expertise.

capstone-project computer-vision data-science deep-learning gesture-recognition interactive interactive-learning machine-learning mediapipe portfolio-project pose-estimation react scikit-learn tensorflow typescript

Last synced: 07 Apr 2026

https://github.com/sbera01/credit-card-approval-predictor

End-to-end Machine Learning project to predict credit card approval decisions using real-world financial features. Includes EDA, model training, and deployment-ready architecture

credit-card-approval-prediction data-analysis machine-learning python scikit-learn streamlit

Last synced: 24 Dec 2025

https://github.com/capsuleismail/drybeanuci

Data Science Project with Model comparison.

datascience jupyter-notebook machinelearning-python scikit-learn

Last synced: 18 May 2026

https://github.com/satheesh-meadi/real_time_financial_risk_dashboard

Financial Risk Analysis Dashboard 🚀. An interactive Streamlit dashboard designed for analyzing and visualizing portfolio performance. Features include CAPM analysis, portfolio optimization, efficient frontier visualization, and real-time stock data to help optimize investments.

numpy pandas plotly plotly-express python3 scikit-learn streamlit yfinance

Last synced: 05 Apr 2026

https://github.com/csakig/bike-sharing-demand-analytics

Advanced analytics on Bike Sharing data using Random Forest, Gradient Boosting, and SARIMAX forecasting.

data-science machine-learning portfolio python scikit-learn time-series

Last synced: 10 Apr 2026

https://github.com/thiagohrcosta/machinelearning-temperature

A Small Machine Learning application leveraging Scikit-Learn and statistical learning to extract knowledge from data without explicit programming.

machine-learning numpy pandas python3 scikit-learn

Last synced: 08 Apr 2026

https://github.com/thatguychandan/adoptimization

This project implements an ad optimization system using a hybrid approach combining Thompson Sampling and Upper Confidence Bound (UCB) algorithms. The system learns to select the most effective ads based on user context and historical performance.

numpy pandas plotly python pytorch reinforcement-learning scikit-learn streamlit thompson-sampling upper-confidence-bound

Last synced: 10 Apr 2026

https://github.com/thammami01/simple-recruitment-ml

Simple recruitment app that allows job posting/application, and viewing regression/classification figures based on entries.

flask matplot-lib mongodb python scikit-learn

Last synced: 12 Apr 2026

https://github.com/itsmandrew/diabetes-cs178

Final project for CS178, predicting whether and when will patient with diabetes be readmitted in hospital after the treatment.

knn logistic-regression neural-network python scikit-learn

Last synced: 13 Apr 2026

https://github.com/solanovisitor/moodpredictor

An application that uses Machine Learning to predict one's risk of having mood disorders (currently in Portuguese)

pandas python scikit-learn streamlit xgboost

Last synced: 09 Apr 2026

https://github.com/sobhan-m/comp472-project1

A program that builds various machine learning models on a dataset composed of Reddit posts, their emotions, and their sentiments.

ai jupyter-notebook machine-learning python scikit-learn

Last synced: 14 Apr 2025

https://github.com/s0fft/learning-lab

Code Notes & Test-Learn // Micro Pet-Projects: Python / Asynchrony / FastAPI / Django-Tastypie / DRF / Parsing / Telegram-Bot / SQL / Docker / DS / ML / etc.

asynchrony data-science django-rest-framework docker fastapi jupyter-lab jupyter-notebook mashine-learning matplotlib notes numpy pandas parsing python3 scikit-learn seaborn sql sqlalchemy tastypie telegram-bot

Last synced: 10 Apr 2026

https://github.com/shreeparab1890/duplicate-question-predictor

The ipython notebook is working to build a model which will detect duplicate questions if two questions pair are given.

bag-of-words nlp nlp-machine-learning nltk numpy pandas python random-forest scikit-learn sklearn streamlit

Last synced: 10 Apr 2026

https://github.com/lingumd/cryptocurrencies

Unsupervised machine learning models used to group the cryptocurrencies to help prepare for a new investment.

concatenate elbow-curves get-dummies hvplot jupyterlab kmeans matplotlib-pyplot minmaxscaler pandas path pca-analysis plotly-express scikit-learn unsupervised-machine-learning

Last synced: 13 Apr 2026

https://github.com/kostadinlambov/algorithmic-trading-bot

The project aims to evaluate the predictive performance of different machine learning (ML) algorithms for Bitcoin trading. The proposed trading strategy integrates key technical indicators, including the Relative Strength Index (RSI), Simple and Exponential Moving Averages, and the Moving Average Convergence Divergence (MACD).

lightgbm machine-learning matplotlib mlflow numpy optuna pandas pickle random-forest scikit-learn scipy seaborn statsmodels xgboost

Last synced: 05 Apr 2026

https://github.com/fatimaafzaal/car_price_prediction

Trains Random Forest and Gradient Boosting models to predict car prices based on user inputs for various car attributes, evaluating models and making predictions using the best-performing model.

car-price-prediction ensemble-learning gradient-boosting matplotlib numpy pandas random-forest regression regression-models scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/enayar478/nomad_machine_learning_dash_app

An interactive Machine Learning app built with Dash and Plotly, developed as part of the Data Analytics Bootcamp at Le Wagon Bordeaux. It allows users to visualize data, make real-time predictions, and explore various model insights.

analytics cachetools dash dashboard-application data-analysis data-science deployment gunicorn interactive-visualization machine-learning pandas plotly plotly-dash prediction-model python python3 render scikit-learn web-application

Last synced: 02 Jan 2026

https://github.com/simon2k/stock-price-prediction-evaluation

This project is indented to present a small evaluation of different types of regression models for predicting stock prices for AAPL.

evaluation machine-learning numpy pandas predicting-stock-prices scikit-learn

Last synced: 07 Apr 2026

https://github.com/sayamalt/airline-passenger-satisfaction-classification

Successfully developed a machine learning model to predict Airline Passenger Satisfaction by building an end-to-end MLOps pipeline. It integrates DVC for data versioning, a Dockerfile for containerization, and CI/CD using GitHub Actions for automated deployment.

azure-web-app-service ci-cd-pipeline classification docker-container dvc-pipeline experiment-tracking exploratory-data-analysis feature-engineering github-actions hyperparameter-tuning machine-learning mlflow mlflow-tracking mlops-workflow model-registry model-training-and-evaluation model-versioning optuna scikit-learn

Last synced: 16 Apr 2026

https://github.com/sasank-sasi/subtheme-sentiment-analysis-for-review

"Comprehensive Subtheme Sentiment Analysis of Customer Reviews Using Advanced NLP Techniques"

matplotlib natural-language-processing nltk plotly python scikit-learn spacy vader-sentiment-analysis

Last synced: 05 Feb 2026

https://github.com/mabjq/fastapi_iris_ml_project

Simple FastAPI ML application project

fastapi jinja2-templates macine-learning scikit-learn

Last synced: 30 Mar 2025

https://github.com/keremm26/pca-analysis

Principal Component Analysis and Clustering on Survey Data using Python and scikit-learn

k-means-clustering machine-learning pca-analysis scikit-learn unsupervised-learning

Last synced: 04 May 2026

https://github.com/vickshan001/diabetes-prediction-using-machine-learning-ci512-project-

Machine learning project (2021) predicting diabetes using the Pima Indians dataset. Compared KNN, Decision Tree, MLP, and more for accuracy.

classification diabetes-prediction machine-learning mlp pima-indians-dataset python scikit-learn

Last synced: 10 May 2026

scikit-learn Awesome Lists
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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