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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/aerojam95/math70076-data-science-cw2

This repository presents the second coursework for the MATH70076 Data Science module at Imperial College London, where the project showcases different machine and deep learning models for image classification

data-science deep-learning machine-learning python3 pytorch scikit-learn

Last synced: 15 Apr 2026

https://github.com/danicaalana/wine-dataset-decision-tree

This project is developed as part of Digital Skill Fair (DSF) 35.0 - Data Science by Dibimbing. I am using Wine Recognition Dataset from scikit-learn, which is the results of a chemical analysis of wines grown in the same region in Italy by three different cultivators.

data data-analysis-python data-science decision-tree-classification machine-learning python scikit-learn wine-dataset

Last synced: 18 Apr 2026

https://github.com/sarowarahmed/predicting-kolkata-house-price

🏠 Predicting Kolkata House Price: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to predict house prices in Kolkata. Deployed on Streamlit Cloud for easy access and real-time predictions.

app kolkata linear-regression machine-learning numpy pandas scikit-learn streamlit

Last synced: 26 Feb 2026

https://github.com/jarif87/tune-popularity-app

Flask web app to predict song popularity using CatBoost. Enter five song features for instant predictions. Modern, responsive UI, no CSRF for development.

catboost-classifier eda flask-application matplotlib-python music-classification python scikit-learn seaborn

Last synced: 30 Apr 2026

https://github.com/brossend/automl_bank_project

Automated ML pipeline for the UCI Bank Marketing dataset: ETL, Optuna-based AutoML, model evaluation, MLflow logging, pytest tests, Docker, and CI/CD.

automl bank-marketing binary-classification ci-cd classification data-science docker docker-compose etl github-actions gitlab-ci machine-learning ml-pipeline mlflow model-monitoring optuna pytest python scikit-learn uci-dataset

Last synced: 02 Jun 2026

https://github.com/adnanrahin/sentiment_classification_logistic_regeression

Sentiment Analysis extracts subjective information in the source material. It's widely used in modern business, to understand the business module, product quality and consumer point of view regarding the products or the business.

logistic-regression machine-learning natural-language-processing preprocessing python3 scikit-learn

Last synced: 29 Apr 2026

https://github.com/0eix/ibm-ds-spacex-falcon9

IBM Professional data science certificate Final Project Notebooks

data-science data-visualization exploratory-data-analysis ibm poetry scikit-learn shap

Last synced: 11 Feb 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/aasmirnov-webdev/data_science_projects

Сборник всех выполненных учебных проектов курса Яндекс.Практикум "Специалист по Data Science".

bert catboost data-science database lgbm mashine-learning matplotlib numpy pandas python pytorch scikit-learn scipy seaborn sql xgboost

Last synced: 06 Apr 2026

https://github.com/sanjiv856/machine_learning_scikit-learn

Repository for machine learning in Python using Scikit-learn.

pipelines python scikit-learn sklearn titanic-kaggle titanic-survival-prediction

Last synced: 27 Feb 2026

https://github.com/c2ramel/autonomous-semantic-discovery

An unsupervised machine learning engine that utilizes Non-negative Matrix Factorization (NMF) to autonomously extract and visualize latent semantic topics from the 20 Newsgroups dataset.

data-visualization machine-learning nlp nmf python scikit-learn unsupervised-learning

Last synced: 16 Apr 2026

https://github.com/selcia25/iris-dataset-classification

☘This repository contains a Python script for classifying the Iris dataset using the Random Forest algorithm.

data-processing iris-classification pandas random-forest-classifier scikit-learn

Last synced: 16 Apr 2026

https://github.com/arshc0der/n.o.v.a-geospatial-ozone-predictor

An AI-powered geospatial intelligence dashboard for predicting atmospheric ozone levels using 27 years of NASA data. Features 3D climate mapping and live satellite tracking.

atmospheric-science climate-tech dashboard-ui data-visualization desktop-app geospatial-analysis gis machine-learning matplotlib ozone-prediction pandas python random-forest-regressor satellite-tracking scikit-learn tkinter windows-executable

Last synced: 01 Mar 2026

https://github.com/s0fft/airline-passenger-satisfaction

Airline-Customer-Model — Machine Learning Project on: Scikit-learn / Pandas / Matplotlib / Seaborn

jupyter-notebook mashine-learning matplotlib pandas python3 scikit-learn seaborn

Last synced: 12 Feb 2026

https://github.com/saikumar787/car_price_prediction_using_linear-regression

A machine learning project to predict the selling price of used cars using regression techniques. Includes data preprocessing, model training, evaluation, and testing on new data.

car-price-prediction-with-machine-learning data-analysis joblib jupiter-notebook linear-regression-models model-deployment python scikit-learn standardscaler

Last synced: 29 Apr 2026

https://github.com/inclinedadarsh/regression-metrics

A simple jupyter notebook demonstrating how to use different metrics from 'scikit-learn' library.

jupyter-notebook machine-learning notebook scikit-learn

Last synced: 29 Apr 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/nahom32/mlp-assignment

This repository is an implementation for machine learning assignment demonstrating the machine learning process.

eda logistic-regression machine-learning scikit-learn

Last synced: 29 Apr 2026

https://github.com/pdoup/ml-codes

Python source files and notebooks for the Machine Learning course weekly tasks

machine-learning scikit-learn

Last synced: 29 Apr 2026

https://github.com/vedanty3/bulldozer-price-prediction

A machine learning project aiming to build a machine learning model which could predict the sales price of bulldozer.

andrew-ng-machine-learning ensemble-machine-learning gridsearchcv jupyter-notebook machine-learning matplotlib numpy pandas python randomforestregressor randomizedsearchcv scikit-learn ztm

Last synced: 05 Apr 2026

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/matheusvazdata/retail-sales-forecast-linreg-sklearn

Minimal project for retail sales forecasting using linear regression (scikit-learn).

forecasting linear-regression machine-learning matplotlib numpy pandas scikit-learn

Last synced: 29 Apr 2026

https://github.com/mattia-hulathduwage/wine-quality-analyzer

A machine learning project that analyzes wine quality using clustering, regression, and classification techniques. The model predicts wine quality scores based on chemical properties and determines the most influential features affecting quality.

machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 16 Apr 2026

https://github.com/hlexnc/project-arepo

Data-driven stroke risk assessment & personalized recommendations, powered by machine-learning and an NLU-driven chatbot.

chatbot data-analysis docker docker-compose machine-learning nlu-chatbot python rasa scikit-learn sklearn streamlit

Last synced: 15 Feb 2026

https://github.com/smuralee/machine-learning-samples

Machine learning samples

pytorch scikit-learn

Last synced: 15 Feb 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/mgesteban/analyzing_car_prices

A comprehensive data science project analyzing factors that drive used car prices to provide actionable insights for used car dealerships.

crisp-dm data-science lasso-regression linear-regression machine-learning one-hot-encoding pandas ridge-regression scikit-learn

Last synced: 15 Feb 2026

https://github.com/sridharyadav07/machine-learning-project-combined-cycle-power-plant-

This project is focused on Multiple machine learning models, including Linear Regression, Decision Tree Regression, and Random Forest Regression, were implemented to predict the target variable and evaluated using various metrics like RMSE, MAE, and R-squared. The performance of these models was compared, and the Random Forest Regressor was found.

data-processing decisiontreeregressor linear-regression metrics-evaluation python random-forest-regressor scikit-learn

Last synced: 16 Apr 2026

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

Machine Learning python bootcamp: logistic regression on advertising dataset

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

Last synced: 16 Apr 2026

https://github.com/meiyor/abatech_ai_test

This repository contains the files for deploying an Exploratory Data Analysis (EDA) for participant demographic and company-based data collected by the outsourcing service given by the company ABATech located in Colombia. This repository also includes the evaluation of three different classifiers to decode the level of satisfaction of the users.

keras python scikit-learn scikitlearn-machine-learning tensorflow

Last synced: 16 Apr 2026

https://github.com/jofaval/iris-flowers

Multilabel Classification of the famous Iris Flowers Dataset from Ronald Aylmer Fisher in 1936

classification data-analysis data-science data-visualization google-colab iris-flowers kaggle machine-learning python scikit-learn xgboost

Last synced: 05 Apr 2026

https://github.com/archish27/pythontutorial

Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications

matplotlib numpy pandas pygame python python-2 python-3 scikit-learn soup

Last synced: 01 Apr 2026

https://github.com/shreeparab1890/indian-cricketer-classifier

This notebook is trying to bulia a model which will predict a Indian Cricketer based on the given image. In this project we have handled 8 Indian Cricketers and build a model to classify the given image between this 8 Cricketers.

image-classification matplotlib numpy opencv pandas python random-forest-classifier scikit-learn sklearn streamlit

Last synced: 01 Apr 2026

https://github.com/mukeshthenraj/fraud-detection-model

Logistic Regression, Grid Search, and ROC-PR curve evaluation on fraud detection dataset

classification fraud-detection machine-learning numpy pandas scikit-learn

Last synced: 29 Apr 2026

https://github.com/capsuleismail/income-census-prediction

Predict whether annual income of an individual exceeds $50K per annum based on census data. Also known as "Census Income" dataset.

datascience jupyter-notebook machinelearning-python scikit-learn

Last synced: 16 Apr 2026

https://github.com/leabrodyheine/ml-kaggle-cirrhosis-data

This project showcases skills in machine learning, data preprocessing, and model evaluation using Python libraries such as scikit-learn, XGBoost, and Optuna. It involves implementing various machine learning models, handling imbalanced data, and employing imputation techniques to enhance model performance for predicting cirrhosis outcomes.

data-analysis data-pre imbalanced-data imputation machine-learning optuna pipeline scikit-learn xgboost

Last synced: 14 May 2026

https://github.com/grupoguerreroherrera/ethical-ai-recruitment-audit

Bias audit toolkit reproducing the recruitment AI case from Activity 6 — Unidad 3, Electiva II Inteligencia Artificial Avanzada. Empirical analysis with reweighing mitigation, Model Card documentation, and APA 7 references.

academic-project algorithmic-auditing artificial-intelligence bias-mitigation disparate-impact ethical-ai fairness machine-learning model-card python random-forest recruitment-bias reweighing scikit-learn unesco-ai-ethics

Last synced: 03 Jun 2026

https://github.com/drorata/mnist-examples

ML examples for the MNIST dataset

machine-learning ml mnist python scikit-learn torch

Last synced: 19 Apr 2026

https://github.com/supershivam5/python_projects

💻 Python programming with Numpy, Pandas, Matplotlib.🌟 Love exploring new technologies. Check out my projects!

matplotlib-pyplot numpy pandas scikit-learn seaborn

Last synced: 17 Apr 2026

https://github.com/ejw-data/proj-food-inspections

Analyzing Chicago Food Inspection data for interesting insights by combining multiple data resources and performing feature engineering.

decision-trees pandas preprocessing python scikit-learn

Last synced: 17 Apr 2026

https://github.com/vaishnavis03/finlatics_ml_program

This repository contains the .ipynb files for 3 datasets, along with a PPT for each. The datasets included are Facebook Marketplace Data, Sales Prediction Data, and Wine Quality data.

correlation data-analysis data-science data-visualization knn linear-regression machine-learning matplotlib numpy pandas random-forest-classifier scikit-learn

Last synced: 17 Apr 2026

https://github.com/dimdasci/car-price-prediction-demo

Demo project of EDA and regression task solution: Pandas, Jupyter Notebook, Scikit-learn, LightGBM

eda lightgbm-regressor regression scikit-learn

Last synced: 03 Jun 2026

https://github.com/kheriberto/knn_project

This is a simple project that uses dummie data to practice and demonstrate my knowledge of the KNN algorithm.

data-analysis knn-classifier numpy python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/akshitvats026/heart_disease_prediction

An ML-based Heart Disease Prediction System that predicts the likelihood of heart disease based on user health parameters. Built using Python, Pandas, and Scikit-learn, the system performs data preprocessing, trains a predictive model, and provides real-time predictions with high accuracy.

accuracy-score logistic-regression machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/broodhoney/blue-book-for-bulldozers

This repository holds the project which solves a regression problem on predicting the futures sales of bulldozers. This is from a kaggle competition.

matplotlib numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/satyas567/weatherdataanalysis

Comprehensive Weather Data Analysis with Python: Explore trends, visualize patterns, detect outliers, and predict temperature using humidity and wind speed

jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn seaborn

Last synced: 02 Apr 2026

https://github.com/isshiki/machine-learning-with-python

連載『Pythonで学ぶ「機械学習」入門』（＠IT）で使用するノートブックが配布されているリポジトリです。

data-science machine-learning machinelearning-python python scikit-learn

Last synced: 17 Apr 2026

https://github.com/orliluq/inmersion-datos-python

Desarrollar modelos de machine learning para predecir la probabilidad de incumplimiento crediticio de los clientes, utilizando diferentes algoritmos de clasificación (Regresión Logística, Árboles de Decisión, Random Forest, Naive Bayes).

colab-notebook numpy pandas python scikit-learn

Last synced: 02 Apr 2026

https://github.com/mayankyadav23/shipment-pricing-prediction

Shipment Pricing Prediction 📦🔍 is a machine learning project that forecasts shipment prices based on various supply chain factors. Using advanced regression models, it provides valuable insights 📊 to optimize pricing strategies in the supply chain analytics domain.

data-visulization flask ineuron-ai machine-learning python scikit-learn shipment-and-pricing

Last synced: 02 Apr 2026

https://github.com/nikhilgugwad/sentiment-analysis

Sentiment analysis for the Kannada language to classify Kannada sentences into different emotions.

numpy pandas scikit-learn

Last synced: 17 Apr 2026

https://github.com/rohansardar/speechflowguard

A machine learning web API that detects toxic language in user comments using classical ML

docker logistic-regression machine-learning python3 scikit-learn tf-idf tfidf-text-analysis tfidf-vectorizer

Last synced: 17 Apr 2026

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

House Price Prediction is a machine learning project that analyzes real estate data to predict house prices based on various features like location, size, and amenities. It involves data preprocessing, exploratory data analysis (EDA), feature engineering, and model training using regression algorithms to provide accurate price estimates. 🚀📊🏡

ai-in-real-estate data-science data-visualization eda feature-engineering house-price-prediction housing-market-analysis machine-learning predictive-modeling python real-estate-analytics regression-models scikit-learn

Last synced: 03 May 2026

https://github.com/xbants/recommendation-api

🎬 Intelligent movie recommendation system with FastAPI backend, Streamlit frontend, and collaborative filtering ML. Rate movies, get personalized suggestions, and enjoy automatic model retraining.

fastapi machine-learning movie-recommedation python3 scikit-learn streamlit

Last synced: 29 Apr 2026

https://github.com/mnitin-reddy/content-based-recommendation-system-using-deep-learning

A content-based movie recommendation system using deep learning to predict user ratings by leveraging user and movie features. The system integrates neural networks for feature extraction, utility scripts for data processing, and supports both new and existing user recommendations.

deep-learning keras neural-networks numpy pandas python scikit-learn tensorflow

Last synced: 03 Apr 2026

https://github.com/rosa-lpz/machine-learning-zoomcamp-2025

Machine Learning Zoomcamp 2025 from DataTalksClub. Based on repository: https://github.com/DataTalksClub/machine-learning-zoomcamp/tree/master

aws deep-learning docker flask kserve kubernetes machine-learning machine-learning-algorithms machine-learning-projects metrics-visualization neural-networks numpy pandas python scikit-learn tensorflow xgboost

Last synced: 06 Apr 2026

https://github.com/rickyarians/ai-ml-nlp

Directory Machine Learning, Deep Learning, Artificial Int, Natural Language Processing Project

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

Last synced: 04 Apr 2026

https://github.com/mnj-tothetop/english-handwritten-characters-recognizer

A handwritten english character recognizer [0-9, A-Z, a-z] made by using a Dataset of 3409 images. Tensorflow, Keras, Scikit-learn, and OpenCV was used to implement the Convolution Neural Network (CNN). Matplotlib and Seaborn were used to visualize the data.

artificial-intelligence convolutional-neural-networks keras matplotlib opencv-python scikit-learn seaborn tensorflow

Last synced: 18 Apr 2026

https://github.com/bjpcjp/scikit-learn

Updates in progress. Jupyter workbooks will be added as time allows.

python python3 scikit-learn

Last synced: 18 Apr 2026

https://github.com/justsecret123/nba-players-stats-analysis

A quick interactive Notebook to visualize some NBA players stats (points, assists, steals, blocks...) and totals, rankings and comparisons. Feel free to add any player in the .csv data files. 🏀

csv ipython-notebook ipywidgets jupyter-notebook jupyterlab matplotlib pandas python scikit-learn seaborn

Last synced: 18 Apr 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.

arduino scikit-learn tinyml

Last synced: 18 Apr 2026

https://github.com/labex-labs/scikit-learn-for-beginners

This comprehensive course covers the fundamental concepts and practical techniques of Scikit-learn, the essential machine learning library in Python. Learn to build, train, and evaluate machine learning models using various algorithms and preprocessing techniques.

algorithms beginner-friendly classification clustering course data-science feature-engineering hands-on labex labs machine-learning model-evaluation preprocessing programming python python-programming regression scikit-learn supervised-learning unsupervised-learning

Last synced: 14 May 2026

https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation

An EDA and Machine Learning Clustering exercise on the Mall Customer Segmentation synthetic dataset demonstrating the use of KMeans Clustering and the Elbow Method. The clustering algorithm successfully segments the customer base into groups distinguishable by their annual income and spending score.

clustering kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn

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/mnitin-reddy/a-b-testing-and-regression-analysis-for-ad-performance-optimization

Analyzed the performance of Facebook and AdWords ads using A/B testing and regression analysis to identify trends, correlations, and cost-effectiveness. Key insights included distribution of clicks and conversions, monthly trends, and cost-per-conversion analysis to optimize ROI.

abtesting data-science hypothesis-testing machine-learning matplotlib numpy pandas scikit-learn scipy seaborn statsmodels

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/chengetanaim/high-school-alcoholism-and-academic-performance

Student Alcoholism and Academic Performance Data Analysis

jupyter-notebook scikit-learn

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/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/simrandalal/semantic-book-recommender

A semantic content-based book recommender using sentence-transformer embeddings, cosine similarity, and a Streamlit interface.

dotenv huggingface-transformers nlp-machine-learning pandas python scikit-learn similarity-search streamlit

Last synced: 05 Apr 2026

https://github.com/taqsblaze/hush

Hush: A lightweight, context-aware text toxicity classifier. Leveraging NLP and Random Forest ensemble learning to detect and mitigate harmful language in real-time. Built for efficiency, safety, and cleaner digital communication.

content-moderation machine-learning nlp random-forest safety-tools scikit-learn text-classification toxicity-detection

Last synced: 05 Apr 2026

https://github.com/vamsi0333/ai-sentiment-cicd-project

End-to-end CI/CD deployment of an AI-powered Sentiment Analysis API using FastAPI, Docker, Kubernetes, Terraform, and GitHub Actions. Demonstrates complete MLOps + DevOps workflow.

ai cicd devops docker fastapi github-actions kubernetes mlops scikit-learn terraform

Last synced: 12 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/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/chaman2003/parkinson-detection

Al-powered Parkinson's Disease Detection System leveraging smartphone sensors (voice and motion) for real-time analysis. Combines ensemble machine learning models (SVM, Random Forest, Gradient Boosting, XGBoost) with advanced feature extraction to provide accurate early detection, sub-second processing, and detailed reporting.

ai flask html-css-javascript librosa ml numpy pandas pydup python scikit-learn

Last synced: 08 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