scikit-learn
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
- GitHub: https://github.com/topics/scikit-learn
- Wikipedia: https://en.wikipedia.org/wiki/Scikit-learn
- Repo: https://github.com/scikit-learn/scikit-learn
- Created by: David Cournapeau
- Released: January 05, 2010
- Related Topics: scikit, python,
- Aliases: sklearn,
- Last updated: 2026-06-25 00:23:58 UTC
- JSON Representation
https://github.com/id-andyyy/alfahack
📈💰 Investment propensity prediction model
catboost hackathon-project jupyter lightgbm numpy optuna pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/jofaval/80-cereals
Data Analysis into almost 80 USA cereals user rating in 1993
cereals classification data-analysis data-science data-visualization google-colab kaggle linear-regression logistic-regression machine-learning matplotlib python regression scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/enricobolzonello/ml_homeworks
Homeworks for the Machine Learning Course 2022/23 @ Unipd
linear-regression machine-learning neural-network scikit-learn svm
Last synced: 11 Jun 2025
https://github.com/adarshpheonix2810/fake-job-post-detection
This project focuses on detecting fake job posts using machine learning. Fake job advertisements are often created to scam individuals by stealing personal information or money.
data-analysis deep-learning joblib machine-learning nlp-machine-learning numpy pandas python scikit-learn tkinter
Last synced: 12 Apr 2026
https://github.com/vishnu-vamshii/fraud-detection-using-machine-learning
Developed a machine learning pipeline to detect fraudulent credit card transactions, handling imbalanced data with SMOTE and scaling. Trained models like Logistic Regression and Random Forest. Conducted EDA to identify fraud patterns.
pandas python scikit-learn tensorflow
Last synced: 12 Apr 2026
https://github.com/mituskillologies/aiml-pcp-jul25
Programs conducted at AI-ML Training Program at Pimpri Chinchwad Polytechnic, Pune in Jul 2025
artificial-intelligence classification clustering data-analysis data-visualization machine-learning matplotlib pandas regression scikit-learn supervised-learning unsupervised-learning
Last synced: 03 May 2026
https://github.com/mindlessmuse666/train-test-splitter
Анализ данных о пассажирах Титаника и разбиение на обучающую и тестовую выборки. Практическое задание по дисциплине "Основы применения методов искусственного интеллекта в программировании".
data-analysis data-preprocessing data-visualization machine-learning pandas python scikit-learn seaborn titanic train-test-split
Last synced: 12 Apr 2026
https://github.com/oneapi-src/predictive-asset-health-analytics
AI Starter Kit for Predictive Asset Maintenance using Intel® optimized version of XGBoost
Last synced: 04 Apr 2025
https://github.com/ak1132/using-k-mediods-clustering-and-decisiontree-randomforest-for-movie-prediction
A project for prediction of movie success using K-medoids clustering and decision trees
decision-tree-classifier kmedoids-clustering machine-learning machine-learning-algorithms matplotlib pandas pandas-dataframe python python-3 random-forest scatter-plot scikit-learn scikitlearn-machine-learning tkinter-gui
Last synced: 30 Apr 2026
https://github.com/mark1708/neurointerfaces-of-information-systems
Laboratory work on the discipline "Neurointerfaces of information systems"
numpy pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/nicolas-giacomelli/modelo-polinomial-api-streamlit
Codigo focado em treinamento de modelo de previsão de salario por tempo de empresa e nivel dentro da empresa disponibilizado por api e usando front-end streamlit para calcular basta inserir tempo de empresa e nivel e calcular o resultado de salario compativel
api fastapi joblib machine-learning matplotlib numpy pandas pingouin pydantic scikit-learn seaborn streamlit uvicorn
Last synced: 12 Apr 2026
https://github.com/yuweaec/wine_quality_prediction
The Wine Quality Prediction project aims to predict the quality of wine based on its chemical properties using machine learning algorithms.
flask jupyter-notebook machine-learning python scikit-learn
Last synced: 11 Apr 2025
https://github.com/striderzz/ml-heart-disease-classification
Machine Learning - Heart Disease Classification Project using Sci-Kit Learn
classification-machine-learning machine-learning machine-learning-projects scikit-learn
Last synced: 16 May 2026
https://github.com/jaspreetsingh-exe/sign-language-recognition-system
Sign Language Recognition System is an AI-powered application that enables real-time sign language recognition using MediaPipe and an MLP model. It captures hand gestures, extracts landmark features, and predicts sign language letters dynamically. The project also explores MobileNetV2 and aims to expand into Text-to-Sign Language generation.
deep-learning machine-learning mediapipe mobilenetv2 neural-networks scikit-learn sign signlanguage signlanguagedetection signlanguagerecognition tensorflow
Last synced: 01 May 2026
https://github.com/gfyoung/tree-decode
Package for removing the black-box around decision trees
blackbox decision-tree machine-learning python scikit-learn
Last synced: 20 Jan 2026
https://github.com/aishwaryagm1999/insurance-workflow-management
This project is an Insurance Workflow Management System designed to streamline policy management, claims processing, and fraud detection. It includes user account management, customer feedback analysis via NLP, alert notifications through SMS, and a fraud detection model, providing a secure, efficient solution for insurance operations.
css fraud-detection html json labelimg machine-learning natural-language-processing nlp opencv python qr-code-generator random-forest-classifier scikit-learn sms-notification tensorflow textblob twilio user-interface
Last synced: 26 Dec 2025
https://github.com/imehranasgari/mlflow_starter
This project is a hands-on guide to the complete end-to-end MLflow workflow, designed as an educational resource. It demonstrates how MLflow is used in practice for experiment tracking, model versioning, and ensuring a reproducible MLOps lifecycle, focusing on the methodology and best practices rather than high model accuracy.
data-science experiment-tracking mlflow mlops model-registry python scikit-learn
Last synced: 11 May 2026
https://github.com/lilivalgo/machine-learning-projects
This repository hosts the machine learning project developed during my learning journey. It showcases my progress and the skills acquired in the field of machine learning
lag-feature linear-regression ml-models scikit-learn scipy-stats seaborn-plots
Last synced: 28 Mar 2025
https://github.com/urvee1810/eda-time-series
A comprehensive time series analysis of French retail quarterly sales data from 2012 to 2017. The project focuses on analyzing sales patterns, seasonal decomposition, and trend analysis using various statistical techniques and visualizations.
arima-modeling data-visualization exploratory-data-analysis matplotlib numpy pandas pmdarima python scikit-learn seaborn statsmodels time-series-analysis trend-analysis
Last synced: 12 Apr 2026
https://github.com/alphacrypto246/grape-quality-prediction
The Grape Quality Prediction project uses machine learning to predict the quality of grapes based on chemical properties like acidity, sugar content, and alcohol levels. It applies regression models to forecast the quality score, helping in wine production and quality assessment.
machine-learning numpy pandas scikit-learn scikitlearn-machine-learning
Last synced: 19 Apr 2026
https://github.com/yousefalaaali/video-game-sales
Data Analysis Project - Video Game Sales
k-means-clustering matplotlib numpy pandas principal-component-analysis python scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/manojkp08/student-performance-analysis
The Student Performance Analyzer is your go-to solution for understanding and improving student performance. By blending the power of machine learning with interactive visualizations, this tool provides educators and learners with personalized insights into learning styles, performance gaps, and actionable improvements.
machine-learning numpy pandas python requests scikit-learn streamlit
Last synced: 12 Apr 2026
https://github.com/shravya1125/dynamic-hospital-resource-allocation
A Dynamic Resource Allocation Framework for Hospital Management Using Risk-Aware Scheduling
allocator chartjs css dynamic flask flask-application hospital-management-system jinja2 machine-learning postman python real-time resource-management risk-prediction scikit-learn triage
Last synced: 12 Apr 2026
https://github.com/brianlesko/maze-runner
Developed a Python-based maze-crawling application using a PS5 controller interface. This project highlights skills in software-hardware integration and low-code UI design, demonstrating expertise ideal for advanced software engineering.
communication dualsense engineer engineering hacking hardware hardware-hacking interface low-code-ui mechanical-engineer mechanical-engineering protocol ps5 python robotics-engineer scikit-learn software sony streamlit ui
Last synced: 12 Apr 2026
https://github.com/crispengari/python-sklearn
💎 Introduction to machine learning with scikit-learn in python. A quick walk through the sklearn library for machine learning and understanding different machine learning algorithims.
ai artificial-intelligence classification clustering datascience jupyter-notebook machine-learning ml-python nlp python regression scikit-learn
Last synced: 13 May 2026
https://github.com/atkaridarshan04/ML-Demo-Projects
machine-learning scikit-learn streamlit
Last synced: 31 Dec 2025
https://github.com/celineboutinon/faux-billets
OpenClassrooms Data Analyst 2022-2023 - Projet 10
machine-learning python scikit-learn statsmodels
Last synced: 16 May 2026
https://github.com/lucaso21/ml-with-python
Machine learning with python
data-science feature-engine machine-learning python scikit-learn
Last synced: 12 May 2026
https://github.com/raduldev/ml-projects
End To End Machine Learning Project guided by Krish Naik from Ineuron.
catboost dill flask-application numpy pandas python scikit-learn xgboost
Last synced: 12 Apr 2026
https://github.com/bheemisme/time-series-forecasting
Time series forecasting on multiple datasets
lstm machine-learning python scikit-learn time-series-forecasting xgboost
Last synced: 01 May 2026
https://github.com/laar19/machine-learning-guide
Pasos básicos para entrenar modelos de clasificación y agrupamiento
aprendizaje-supervisado jupyter-notebook machine-learning matplotlib pandas python3 scikit-learn seaborn supervised-learning unsupervised-learning
Last synced: 29 May 2026
https://github.com/dakohhh/politicians-face-recognition
A machine learning model where we classify famous Nigerian politicians. We restrict classification to only 4 people
gridsearchcv jupyter-notebook machine-learning opencv python pywavelets scikit-learn
Last synced: 16 Apr 2026
https://github.com/arrhythmia-detection/arrhythmiadetectionmodels
This repository contains ML codebase developed during CSE713 group project
arrhythmia-detection deep-neural-nets esp32-s3 scikit-learn tensorflow tensorflow-lite tinyml
Last synced: 12 Apr 2026
https://github.com/umasivakumar14/real_estate_ml_model
Predicts the price of a home in Bengaluru, Karnataka based on location, urbanization, total square feet, bedrooms, bathrooms, and balconies.
aws flask gridsearchcv http-requests machine-learning machine-learning-algorithms nginx pandas python scikit-learn
Last synced: 02 Feb 2026
https://github.com/usmana5809/quran-recitation-audio-classification
Quran Recitation Audio Classification project aims to classify different recitations of the Quran using machine learning techniques. It involves preprocessing audio data, extracting features, training models, and evaluating their performance
audio-classification classification-model islamic-studies librosa machine-learning python quran scikit-learn
Last synced: 20 Mar 2025
https://github.com/ranimeshehata/softmax-regression-on-mnist
A PyTorch-based project for classifying the MNIST dataset using Softmax Regression, including training, validation, results and visualization.
matplotlib mnist python3 pytorch scikit-learn softmax-regression torchvision
Last synced: 15 Apr 2026
https://github.com/kriss024/anaconda-python-for-data-science
Anaconda Python 3.8.8 with TensorFlow 2 Docker image
anaconda3 data-science docker jupyter-notebook machine-learning pandas python python3 scikit-learn tensorflow2
Last synced: 11 Apr 2026
https://github.com/shubhamsoni98/project_using_knn
This project applies the K-Nearest Neighbors (KNN) algorithm to predict iPhone purchases based on customer data. Using features like age, salary, and previous purchase behavior, the KNN model classifies customers into buyers and non-buyers.
anaconda analytics data data-science eda knn knn-classification machine-learning-algorithms predict project python scikit-learn tableau
Last synced: 03 Jan 2026
https://github.com/thaisgarcia/scikit-learn
Utilizei aprendizado supervisionado, mais especificamente regressão linear, para prever salários com base no tempo dedicado aos estudos mensais. O modelo treinado estabeleceu uma relação matemática entre salário e horas de estudo, ajustando parâmetros durante o treinamento.
Last synced: 08 May 2026
https://github.com/njorogepaul-moghul/house-price-predictions-kaggle-competition-
Built a predictive model for the Kaggle House Prices competition using feature engineering and LightGBM, achieving strong leaderboard performance."
data-science house-price-prediction-with-lightgbm kaggle-competition lightgbm machine-learning predicting-home-values-using-machine-learning random-forest scikit-learn
Last synced: 15 May 2026
https://github.com/sankoktas/bhi360-fall-detection
Fall detection system using Bosch BHI360 sensor data with time-series labeling, feature extraction, and machine learning (LOSO CV + Gradient Boosting).
accelerometer bhi360 bosch-sensors data-augmentation fall-detection feature-extraction gradient-boosting gyroscope human-activity-recognition label-studio loso-cross-validation machine-learning python scikit-learn sensor-data smote time-series
Last synced: 07 May 2026
https://github.com/sayan520/titanic-data-insights
Conducting data analysis on Kaggle's Titanic: Machine Learning from Disaster dataset using essential data wrangling, exploratory data analysis (EDA), and visualization techniques to uncover insights, identify patterns, and explore factors influencing passenger survival.
jupyter-notebook kaggle matplotlib numpy pandas python scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/ytalk/deep-learning
Um repositório dedicado à minha jornada de aprendizado e experimentação em Deep Learning. Contém diversas pipelines e implementações em diferentes datasets, explorando modelos (MLPs, LSTMs, CNNs) e técnicas (Regressão, Classificação, etc.) com foco em TensorFlow e Keras.
data-science deep-learning keras machine-learning neural-networks pandas python scikit-learn tensorflow
Last synced: 30 Dec 2025
https://github.com/tnleite/credit-card-customer-clustering
Este repositório apresenta um projeto de segmentação e predição de clientes de cartões de crédito. Utilizando EDA, clusterização (K-Means) e machine learning, o objetivo é prever o grupo de novos clientes, apoiando estratégias de marketing personalizadas.
classification-algorithm clustering-algorithm clustering-analysis data-science exploratory-data-analysis kmeans-clustering logistic-regression machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn seaborn
Last synced: 07 May 2026
https://github.com/rahulsm20/insurance-data
A data analytics project dealing with risk assessment and it's effects in health insurance.
data-analysis data-analytics machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/lucasfranklinsilva/rnn-lstm
Modelo de Prevenção de Falhas em Turbinas Simuladas Utilizando Redes Neurais Recorrentes
data-visualization deep-learning jupyter-notebook keras machine-learning neural-networks python scikit-learn
Last synced: 12 Apr 2026
https://github.com/senaayy/adhd-network-efficiency
🧠 End-to-end fMRI analysis pipeline comparing ADHD brain topology vs. Healthy Controls using Graph Theory (Global Efficiency & Clustering). Built with Nilearn, NetworkX, and Docker for reproducible neuroscience.
adhd bioinformatics brain-networks computational-neuroscience data-science docker fmri graph-theory network-analysis networkx neuroscience nilearn python scikit-learn
Last synced: 17 Jun 2026
https://github.com/chris-santiago/tsfeast
A collection of Scikit-Learn compatible time series transformers and tools.
data-science feature-engineering python scikit-learn time-series timeseries-features transformers
Last synced: 01 May 2026
https://github.com/theartificialdev/movie-recommendation-system
The primary goal of this project is to provide personalized movie recommendations to users based on their preferences and the characteristics of the movies. This is achieved through a multi-step process involving data preprocessing, text vectorization, and recommendation generation.
anaconda-environment data-science jupyter-notebook machine-learning movie-recommendation movies pandas python3 recommendation-system recommender-system scikit-learn scikitlearn-machine-learning
Last synced: 12 Apr 2026
https://github.com/sohang3112/stock-prediction-mlops
Stock Prediction MLOps group project for IIT Madras MTech (AI).
mlops python scikit-learn stock-price-prediction
Last synced: 20 Jun 2026
https://github.com/pders01/telarantula
📜 I made this for Uni. Was pretty fun. It scrapes telegram channels of known German tinfoil-hats and tries to detect the telegram channel based on the emojis that are used.
assignment python research scikit-learn scrapy
Last synced: 04 Aug 2025
https://github.com/thariniselvakumar/kidney-disease-prediction
This project is about the kidney disease prediction using machine learning algorithms
machine-learning matplotlib numpy pandas scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/jbizzlefoshizzle/linear-and-ridge-regression
The purpose of this project was to analyze and predict housing prices using attributes or features such as square footage, number of bedrooms, number of floors, and so on.
linear-regression machine-learning machine-learning-algorithms regression-analysis regression-models ridge-regression scikit-learn scikitlearn-machine-learning train-test-split train-test-using-sklearn
Last synced: 16 May 2026
https://github.com/swat1563/recommendation-system
This repository features a recommendation system and analytics engine using datasets on users, organizations, contents, contacts, events, and recommendations. It includes data preprocessing, building a recommendation system, and creating visual reports with Power BI.
analytics data-analysis data-visualization engine kaggle numpy pandas powerbi powerbi-dashboards powerbi-desktop powerbi-reports python recommendation-engine recommendation-system recommender-systems scikit-learn scipy
Last synced: 07 Jan 2026
https://github.com/jpcano/boston_housing
Predicting Boston Housing Prices using supervised Machine Learning algorithms
cross-validation machine-learning numpy pandas python regression-models scikit-learn
Last synced: 12 Apr 2026
https://github.com/ccastleberry/sk-autobots
Custom data transformers using the scikit-learn API.
scikit-learn sklearn sklearn-api
Last synced: 08 Feb 2026
https://github.com/themihirmathur/soiligator
Soiligator is an advanced machine learning project designed to optimize irrigation management by predicting whether irrigation is necessary based on environmental and soil-related data.
auc-score logistic-regression machine-learning matplotlib numpy pandas python random-forest-classifier roc-curve scikit-learn seaborn standardscaler support-vector-machine
Last synced: 12 Apr 2026
https://github.com/daniel-furman/RecFeatureSelect
Feature selection functions (1) using the multi-collinearity matrix and recursively proceeding to a spearman threshold and (2) using Forward Stepwise Selection running on an ensemble sklearner (with options for HPO).
correlation-threshold machine-learning modeling multicollinearity recursion recursive-algorithm scikit-learn spearman-rho
Last synced: 09 Jul 2025
https://github.com/robson-python/academic-performance
Project to evaluate students' academic performance.
csv-import data data-analysis data-science jupyter-notebook machine-learning matplotlib pandas python scikit-learn seaborn vscode
Last synced: 12 Apr 2026
https://github.com/raghavendranhp/industrial_copper_modelling
Industrial Copper Modeling optimizes pricing decisions using advanced ML. Predict sales with accuracy, classify leads, and streamline decision-making.
classification-models copper decision-tree-classifier decision-tree-regression pickle-file predictive-modeling regression-models scikit-learn
Last synced: 16 May 2026
https://github.com/syedshameersarwar/mlopslifecycle
grafana kserve kubeflow mlflow mlops monitoring scikit-learn
Last synced: 10 Apr 2026
https://github.com/mitesh-kumavat/flask-movieverse-frontend
MovieVerse frontend code for the flask based python web app.
backend cosine-similarity css flask-application frontend html5 javascipt movie-recommendation-app movies-streaming pandas python recommendation-system scikit-learn sqlite tailwindcss
Last synced: 07 Feb 2026
https://github.com/touhoue/oilpumpvibration
The project employs signal processing techniques like Hilbert transforms to extract amplitude envelopes and instantaneous frequencies, facilitating insights into the mechanical health and performance of the system.
Last synced: 07 May 2026
https://github.com/gititsid/visaverdict
A ML project to predict possibility of US Visa approval
classification python3 random-forest-classifier scikit-learn
Last synced: 03 Feb 2026
https://github.com/khanovico/energy-data-analysis
This is the cloud model analyzing real world dataset with BigQuery and other big-data analyzing tools. I implemented docker image for running this app on cross-platform environments.
big-data-processing bigquery docker google-app-engine jupyter-notebook mlflow python scikit-learn seaborn xgboost
Last synced: 17 Feb 2026
https://github.com/pranaypkadu/networksecurity
End To End MLOPS Project With ETL Pipelines- Building Network Security System
aws-ec2 aws-ecr aws-s3 dagshub docker etl-pipelines fastapi github-actions mlflow mlops mongodb-atlas network-security numpy pandas python pytorch scikit-learn tensorflow vscode
Last synced: 19 Mar 2025
https://github.com/lorenzorottigni/ml-universities
Machine Learning python bootcamp: K mean clustering with public/private universities dataset
k-mean-clustering machine-learning numpy pandas python scikit-learn seaborn
Last synced: 05 Apr 2026
https://github.com/jprmaulion/bayesopt-gb-seismic-liquefaction-liq7
Bayesian-optimized gradient boosting for seismic liquefaction prediction with geographic stratified CV on the LIQ/7/2833 global database.
bayesian-optimization binary-classification gradient-boosting lightgbm liquefaction machine-learning python scikit-learn shap shear-wave-velocity soil-mechanics xgboost
Last synced: 29 May 2026
https://github.com/massimilianoviola/entity-matching-dblp-acm
Entity matching on the DBLP-ACM dataset
scikit-learn sentence-transformers
Last synced: 13 Jun 2026
https://github.com/mpoojithavigneswari/bangalore-house-price-prediction
This project involves creating a website that predicts Bangalore house prices with 94.65% accuracy using a machine learning algorithm.
data-analysis data-science flask-server machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/visu512/spotify-music-recommender
Built Spotify Music recommendation system using Machine learning
csv-files dataset jupyter-notebook kmeans-clustering machine-learning matplotlib numpy panda python scikit-learn spotify-api stream vscode
Last synced: 12 Apr 2026
https://github.com/aleksandarbuk/machine-learning
The Machine Learning Library repository provides a collection of scripts and tools leveraging Scikit-Learn, Pandas, and NumPy for various machine learning tasks and data analysis.
matplotlib numpy python scikit-learn tensorflow
Last synced: 16 Apr 2026
https://github.com/tetsumichiumada/student_intervention
Identify students for interventions
machine-learning python scikit-learn supervised-learning
Last synced: 16 May 2026
https://github.com/rririanto/thesis-projects
The computer science thesis project that I worked on when I was a student and was looking for a part time job
bag machine-learning python2 python27 scikit-learn surf
Last synced: 02 Feb 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: 11 Apr 2026
https://github.com/mohd-faizy/preprocess_ml
This repository hosts Python code that utilizes the Scikit-learn preprocessing API for data preprocessing. The code presents a comprehensive range of tools that handle missing data, scale data, encode categorical variables, and perform other functions.
data-science feature-engineering feature-engineering-algorithm feature-extraction feature-selection machine-learning outlier-detection preprocessing-data preprocessor scikit-learn
Last synced: 16 May 2026
https://github.com/namratha2301/bangalorehousepricepredictor
Predicting house price in Bangalore based on the key features of the house like number of rooms, size in square feet etc.
azure bashscript docker flake8 flask github-actions scikit-learn
Last synced: 12 Apr 2026
https://github.com/charlescro/reddit-classification-nlp
Analyzing subreddit language via Reddit API and NLP techniques.
data-analysis data-science data-visualization nlp-machine-learning reddit-api scikit-learn
Last synced: 03 Apr 2025
https://github.com/filsan95/project-iot_malware_identification
This repository contains the code and data for a project that detects malware from IoT devices using a publish-subscribe model with Confluent and Databricks. The project streams IoT device data to Kafka, analyzes it, and detects malware using machine learning models such as Random Forest and Gradient Boosted Trees.
apache-kafka classification confluent databricks machine-learning-algorithms scikit-learn sql
Last synced: 16 Mar 2025
https://github.com/vishal-038/healthcare
The AI Healthcare System is a web-based application that integrates machine learning with Django to assist users in disease prediction, booking appointments with doctors, purchasing medicines, and managing lab tests.
django django-rest-framework pandas scikit-learn sqllite
Last synced: 05 May 2026
https://github.com/karimosman89/health-risk-assessment
Predict health risks based on patient data.Create a machine learning model that predicts health risks (like diabetes or heart disease) based on patient data.Help healthcare providers identify at-risk patients for early intervention.
ehr-data pandas python scikit-learn
Last synced: 06 May 2026
https://github.com/gangula-karthik/bank-transaction-classification
Classifying bank transactions with precision—your first step towards smarter finance management 💳🤖📊
finance machine-learning nlp scikit-learn
Last synced: 09 Apr 2025
https://github.com/bilalm04/email-spam-classifier
A machine learning project that classifies emails as spam or not spam using Logistic Regression, with a deployable Flask API for real-time classification.
api flask jupyter-notebook machine-learning matplotlib nlp numpy pandas python scikit-learn
Last synced: 06 Mar 2026
https://github.com/bijilsubhash/heart-failure-prediction
Heart failure prediction web app
flask heroku-deployment jupyter-notebook machine-learning scikit-learn
Last synced: 10 Apr 2026
https://github.com/abhay-rudatala/resume-analyzer
Intelligent Resume Analysis System using Machine Learning and NLP. Features TF-IDF + Naive Bayes/SVM classification (90-95% accuracy), SpaCy NER for information extraction, and interactive Streamlit web app with custom UI. Built with Python, Scikit-learn, and deployed on Streamlit Cloud.
classification machine-learning named-entity-recognition nlp portfolio-project python resume-analysis scikit-learn spacy streamlit
Last synced: 06 May 2026
https://github.com/shivsharcode/diabetes-prediction-new
DIABETES PREDICTION MODEL
flask jupyter-notebook logistic-regression machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/programmersteve/price_regression_ml
jupyter machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/otuemre/housepricingml
A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.
eda encoding evaluation-metrics kaggle-competition lightgbm-regressor machine-learning matplotlib-pyplot neural-networks numpy pandas preprocessing python ridge-regression scikit-learn seaborn tensorflow xgboost-regression
Last synced: 13 Apr 2026
https://github.com/the-developer-306/fake-review-detector
This project is a machine learning-based review classification system that predicts whether a product review is GENUINE or FAKE. It preprocesses review text, analyzes sentiment, and uses numerical features like ratings and helpfulness to make predictions. The model is deployed via a Flask web application for user interaction.
classification flask logistic-regression machine-learning numpy pandas python renderdeploy scikit-learn sentiment-analysis
Last synced: 12 Apr 2026
https://github.com/sarcode/ml-code-tutorials-udemy
Complete Tutorial Guide with Code for learning ML
apriori-algorithm artificial-neural-networks classification-methods decison-trees heirarchical-clustering kernel-pca kernel-svm kmeans-clustering knearest-neighbor-algorithm logistic-regression natural-language-processing polynomial-regression random-forest scikit-learn svm svr ucb
Last synced: 29 Apr 2026
https://github.com/henriquepmartins/ml-number-prediction
Number prediction using Logistic Regression
logistic-regression machine-learning scikit-learn
Last synced: 15 May 2026
https://github.com/boomerspine/selflearning_chatbot
Self learning chatbot using python
Last synced: 10 May 2026
