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: 2026-06-11 00:27:27 UTC
- JSON Representation
https://github.com/gitstar-oc/machine-learning
This are the Machine Learning notes by leading AI website named Deeplearning.AI. This notes will help you to be a machine learner from beginner to advanced level. Welcome Everyone!!
deep-learning deep-neural-networks jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn supervised-learning tensorflow unsupervised-learning
Last synced: 09 Feb 2026
https://github.com/tathithienthanh/datamining-banking-dataset
Implement some learned data mining techniques and predict if the client will subscribe to a term deposit
apriori association-rules classification clustering data-analysis data-mining data-processing google-colab ipynb kmeans naive-bayes py python scikit-learn svm visualization
Last synced: 20 Apr 2026
https://github.com/ewertondrigues02/previsao-de-vendas
Previsão de vendas de uma empresa fictícia onde foi feita análise com ferramentas como Jupyter Notebook, Google Colab, Python e bibliotecas de Machine Learn como: regressão linear, arvore de decisão, scikit-learn
analise-de-dados analise-exploratoria arvore-de-decisao ciencia-de-dados colab excel google-colab jupyter jupyter-notebook machine-learning previsao previsao-de-vendas python3 regressao-linear scikit-learn
Last synced: 10 Feb 2026
https://github.com/idaraabasiudoh/vehicle-co2emission_model
Predicts CO2 emissions from vehicle fuel consumption using a multiple linear regression model trained on sklearn, based on a dataset of engine sizes and corresponding CO2 emissions in Canada.
data-analysis jupyter-notebook machine-learning python3 scikit-learn
Last synced: 06 May 2026
https://github.com/ahmedshahriar/sentiment-analysis
Sentiment Analysis Projects
adam-optimizer data-science-projects deep-learning deep-neural-networks dense densely-connected-networks jupyter-notebook long-short-term-memory lstm-model lstm-sentiment-analysis machine-learning matplotlib numpy pandas scikit-learn sentiment-analysis tensorflow tensorflow-hub tensorflow-models tensorflow-text
Last synced: 21 Jan 2026
https://github.com/chouaib-629/quantileregression
Quantile regression for delivery time and some scenarios.
data-science data-visualization delivery-time jupyter-notebook linear-regression machine-learning matplotlib model-compression numpy pandas predictive-modeling python python3 quantile-regression regression-models scikit-learn scipy statistical-analysis statsmodels
Last synced: 11 Feb 2026
https://github.com/raythurman2386/gis-playground
GIS Playground is a comprehensive web-based GIS application that combines multiple data sources and provides advanced spatial data visualization and analysis capabilities. The application features real-time wildfire data integration, intelligent spatial data processing, and interactive mapping functionality.
flask gdal geopandas leaflet nltk scikit-learn
Last synced: 11 Feb 2026
https://github.com/lemma-osu/sklearn-raster
Fast, parallel raster prediction with scikit-learn estimators
dask raster scikit-learn xarray
Last synced: 20 Apr 2026
https://github.com/tritonix711/fractureai
This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.
css cv2 flask gorq html javascript matplotlib npm numpy pandas pydantic python react scikit-learn torch torchvision ultralytics
Last synced: 27 Feb 2026
https://github.com/nazchanel/fake-news-detection-algorithm
A fake news detection algorithm. This repository contains the various variations of my original project. WIP.
dataset deep-learning fake-news-detection machine-learning-algorithms natural-language-processing scikit-learn work-in-progress
Last synced: 21 Apr 2026
https://github.com/samalyarov/telegram_monitor
A telegram channel parser + binary text classifier utilizing a simple logistic regression model
binary-classification classifier-model eli5 logistic-regression nltk-python openpyxl parsing regular-expressions scikit-learn sklearn sklearn-library telegram telegrambot-python text-classification tqdm
Last synced: 24 Apr 2026
https://github.com/shridhar1504/boston-house-price-prediction-datascience-project
The Boston House Price Prediction project utilizes data science methodologies and machine learning algorithms to provide accurate predictions for housing prices in the Boston area.
boston data-science house-price-prediction machine-learning regression-algorithms regression-models scikit-learn supervised-learning
Last synced: 24 Apr 2026
https://github.com/vishrut-b/ml-project-with-pytorch-breast-cancer-classification
An exploration of machine learning techniques applied to classify breast cancer as malignant or benign.
breast-cancer-classification machine-learning python pytorch scikit-learn
Last synced: 11 Feb 2026
https://github.com/slfagrouche/real-estate-market-analysis
Analysis of 2.2 million Realtor.com listings using Python and machine learning to uncover U.S. real estate market patterns. The project identifies market segments, predicts property prices, and reveals regional trends, providing data-driven insights for real estate professionals and investors.
data-science exploratory-data-analysis linear-regression machine-learning scikit-learn statistical-testing
Last synced: 24 Apr 2026
https://github.com/divyanshugit/kaggle-titanic-machine-learning-from-disaster
A machine learning model that predicts which passengers survived the Titanic shipwreck.
data-science machine-learning machine-learning-algorithms random-forest scikit-learn svm
Last synced: 26 Apr 2026
https://github.com/engageintellect/bitcoin-price-predictor
This Python project predicts whether the price of Bitcoin will increase or decrease on the next day, using historical price data and machine learning. Additionally, the project visualizes Bitcoin's price movements using candlestick charts along with moving averages for different timeframes.
bitcoin machine-learning matplotlib mplfinance numpy pandas python scikit-learn visualization yfinance
Last synced: 23 Oct 2025
https://github.com/camille-maslin/securecard-ai
🛡️ SecureCard-AI: A high-performance credit card fraud detection system implemented in a Jupyter Notebook, achieving 99.97% accuracy.
classification credit-card-fraud-detection data-analysis data-science fraud-detection jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 12 Feb 2026
https://github.com/sudarsann27/sentimental_analysis--kalki-2898-ad-movie-review-
Sentimental analysis - movie review for movie "KALKI 2898 AD"
datavisualization-project logistic-regression machine-learning natural-language-processing scikit-learn sentimental-analysis
Last synced: 12 Feb 2026
https://github.com/marella/evaluate
A tool to evaluate the performance of various machine learning algorithms and preprocessing steps to find a good baseline for a given task.
lightgbm machine-learning python scikit-learn xgboost
Last synced: 27 Apr 2026
https://github.com/yagna123k/fresh-farm-ai
Fresh Farm AI - AI-Powered Crop Quality Control System
ai deep-learning machine-learning nextjs python scikit-learn tensorflow
Last synced: 12 Feb 2026
https://github.com/vishalchau2003/heart-disease-prediction-using-machine-learning
Using machine learning we will develop a predictive model to predict heart disease
confusion-matrix framingham-heart-study heartdisease-prediction logistic-regression machine-learning matplotlib-pyplot numpy pandas python scikit-learn seaborn sklearn
Last synced: 12 Feb 2026
https://github.com/christopherkindl/start-hack-2021
Predictive models for parking space occupation using historical parking occupancy and ticket sales data as well as weather and public holiday data.
Last synced: 08 May 2026
https://github.com/alvisonhunterarnuero/lets-talk-python
Repositorio de los ejemplos y ejercicios que se hacen en los talleres de Python
numpy-arrays numpy-library numpy-tutorial pandas pandas-dataframe pandas-library pandas-python pandas-tutorial python-3 python3 scikit-learn
Last synced: 08 May 2026
https://github.com/rohitpawar001/machine_learning
This repository contains all the machine learning algorithms and the ml concepts.
classification hyperparameter-tuning linear-regression logistic-regression machine-learning naive-bayes numpy pandas python regression scikit-learn smote svm
Last synced: 27 Feb 2026
https://github.com/rickiepark/sklearn-tutorial
사이킷런 정주행 튜토리얼
machine-learning python scikit-learn
Last synced: 08 May 2026
https://github.com/dirktoewe/sleepy
Pure Python extensions for Scikit-Learn.
bezier machine-learning polynomial-regression python regression scikit-learn sklearn
Last synced: 18 Apr 2026
https://github.com/spockoo/pylegend
A fusion between Python and legend, a name that suggests that the code is both modern and mythical. 3 months of work, with tons of errors to establish the calculations necessary for the superposition, I want to publish my work and improve it and share it under Apache 2.0 License. Designed to work with NBminer!
crypto crypto-tools how-to-farm-crypto kerastuner matplotlib matrix-multiplication mining nbminer numpy performance-optimization pickle project quantum quantumcircuits quantumcomputing qubits scikit-learn tensorflow
Last synced: 27 Jan 2026
https://github.com/ksalama/gcp-ml-serving
Examples of how to serve ML models on GCP
app-engine dataflow kubernetes machine-learning scikit-learn tensorflow
Last synced: 12 Oct 2025
https://github.com/shreyansh055/dynamic_pricing_strategy_055
Dynamic Pricing Strategy Project: This project utilizes machine learning algorithms in Python to optimize ride-sharing prices through real-time demand and supply analysis. By leveraging historical Uber data, it dynamically adjusts prices to maximize revenue and improve customer satisfaction.
machine-learning numpy pandas python scikit-learn
Last synced: 13 Feb 2026
https://github.com/benzerinsio/datascience
📊 Data Science & Análise de Dados | Projetos de estudo em Exploração de Dados (EDA), Machine Learning e Deep Learning para prática e demonstração de técnicas analíticas.
analise-de-dados analise-exploratoria analise-exploratoria-de-dados aprendizado-de-maquina aprendizado-profundo data-science data-visualization eda exploratory-analysis exploratory-data-analysis machine-learning numpy pandas python scikit-learn seaborn supervised-learning unsupervised-learning
Last synced: 14 Feb 2026
https://github.com/lordhacker756/estate-ai
Estate AI is a machine learning application that predicts the approximate rent a user would need to pay for their requirement across major metro cities of India. It is built using NextJS 13, TailwindCSS, and TypeScript for the frontend, Scikit Learn for Model Training and and Flask for the backend.
fastapi flask machine-learning nextjs13 scikit-learn
Last synced: 09 May 2026
https://github.com/j-i-l/tfb-prediction
Transcription factor binding prediction
bioinformatics machine-learning pandas python scikit-learn
Last synced: 09 May 2026
https://github.com/markdouthwaite/lingo
A package for quickly deploying Scikit-Learn Linear Models in Go.
golang linear-models machine-learning scikit-learn
Last synced: 15 Feb 2026
https://github.com/andreped/nlp-mtl
Training neural networks to solve multiple tasks simultaneously from free text through multi-task learning
bert-embeddings keras multi-task-learning natural-language-processing neural-networks nlp scikit-learn
Last synced: 09 May 2026
https://github.com/tavneetsingh01/data-science-and-analytics-lab-practicals
This Repository contains the lab Programs for On-Going Data Science and Analytics Lab (CSL DC205) Fall 2024
conda data-science jupyter-notebook linear-regression logistic-regression matplotlib-pyplot naive-bayes-classifier nlp pandas polars python scikit-learn seaborn sentiment-analysis
Last synced: 15 Feb 2026
https://github.com/wwtg99/predict_height
Predict height by gender and genotypes using machine learning.
genotype height machine-learning scikit-learn
Last synced: 29 Apr 2026
https://github.com/rogeriols/scikit-learn
:mortar_board: Curso com os criadores do Scikit-Learn
machine-learning ml python python3 regression-algorithms regression-models regression-trees scikit-learn
Last synced: 10 May 2026
https://github.com/mrapp-ke/mlrl-boomer
A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules
gradient-boosting machine-learning multi-target-regression multilabel-classification multioutput-regressor rule-learning scikit-learn
Last synced: 10 May 2026
https://github.com/mundialis/r.learn.predict.parallel
GRASS GIS addon for running r.learn.predict in parallel
classification grass-gis grass-gis-addons hermosa-earth incora machine-learning prediction raster regression scikit-learn
Last synced: 02 Mar 2026
https://github.com/ajitashwath/nn-visualization
A web application for visualizing various aspects of neural networks.
matplotlib-pyplot python3 scikit-learn streamlit tensorflow
Last synced: 03 May 2026
https://github.com/yaqoah/used-cars-ai
🚗 predicts used car prices using a full ML pipeline
beautifulsoup eda machine-learning pandas regression scikit-learn selenium xgboost
Last synced: 19 Apr 2026
https://github.com/docsallover/face-recognition-using-knn
Building a Face Recognition System with the KNN Algorithm
face-detection face-recognition knn knn-classification machine-learning num ope scikit-learn scipy
Last synced: 02 Mar 2026
https://github.com/pr38/dask_backward_feature_selection
Backward step-wise feature selection using Dask, scikit-learn compatible
dask feature-selection machine-learning python scikit-learn
Last synced: 16 Apr 2026
https://github.com/jlgarridol/tfg-smartbeds
MINERÍA DE DATOS APLICADA A LA DETECCIÓN DE CRISIS EPILÉPTICAS - GII18.13
bed datamining ensemble epileptic-seizures manifold medical-informatics oneclasssvm pca rotation-forest scikit-learn weka
Last synced: 30 Apr 2026
https://github.com/tschechlovdev/ml2dac
Implementation of "ML2DAC: Meta-Learning to Democratize AutoML for Clustering Analyses", published at SIGMOD 2023. The paper has awarded the "reproducibility" badge by SIGMOD's reproducibility reviewers.
automl clustering meta-learning paper python reproducible-research scikit-learn
Last synced: 13 Oct 2025
https://github.com/27ahmad/medicine-recommendation-system
This project aims to create a medicine recommendation system based on symptoms provided by the user. The system is built using machine learning models trained on a dataset of symptoms and their corresponding diagnoses. The frontend is designed using Bootstrap for an intuitive user interface.
bootstrap machine-learning medicine-applications pandas recommendation-system scikit-learn
Last synced: 25 Oct 2025
https://github.com/drreetusharma/molecular_innovations-for-kpgt-knowledge-guided-pre-training-of-graph-transformer-
Knowledge-guided-Pre-training-of-Graph-Transformer: The primary aim of this project is to leverage knowledge-guided pre-training techniques for enhancing the performance of graph transformers in molecular property prediction and drug discovery.
machine machine-learning neural-network pytorch rdkit scikit-learn
Last synced: 04 Mar 2026
https://github.com/smmariquit/pjdsc-economic-impact
BARLO: Bayani Alert and Response for Local Operations — predicts a storm's economic impact from typhoon forecast data using a PyTorch + scikit-learn model, deployed on Streamlit.
disaster-risk logistics machine-learning philippines pjdsc python pytorch scikit-learn streamlit typhoon
Last synced: 14 Jun 2026
https://github.com/francescopaolol/decisiontree
About classify iris plants into three species in this classic dataset
decision-tree-classifier jupyter-notebook kaggle machine-learning ml pandas scikit-learn
Last synced: 16 Apr 2026
https://github.com/aditya-ranjan1234/interactive-salary-prediction-with-machine-learning
A Streamlit web application for exploring the UCI Census Income dataset, training machine learning models, and predicting employee salaries.
data-science machine-learning prediction python scikit-learn streamlit xgboost
Last synced: 29 Apr 2026
https://github.com/magnuss0/movie-rec-system
The project extracts movie data using TheMovieDB API, processes it using TF-IDF and cosine similarity for generating recommendations, and stores the data in a DuckDB database. The system is encapsulated within a FastAPI web application and can be deployed using Docker. It provides movie recommendations in JSON format.
cosine-similarity docker duckdb movies-recommendation moviesdb-api ploomber poetry-python scikit-learn streamlit tf-idf
Last synced: 14 Apr 2026
https://github.com/brenofariasdasilva/worked-example-miner
Worked Example Miner (WEM): A Comprehensive Tool for Analyzing Java Repositories.
apache-kafka autometrics ck code-metrics code-quality-metrics distributed-systems heuristic java-code-analyzer java-repositories matplotlib numpy pydriller python refactoring-miner scikit-learn software-engineering wem worked-example-miner zookeeper
Last synced: 20 Apr 2026
https://github.com/aravindnathan02/credit-card-fraud-detection
This repository contains a Machine Learning project aimed at detecting fraudulent credit card transactions. The goal is to build a reliable and efficient model that minimizes false positives and false negatives, ensuring financial safety and improving fraud detection capabilities.
classification-model fraud-detection logistic-regression machine-learning python random-forest scikit-learn
Last synced: 11 May 2026
https://github.com/khaymanii/big_mart_prediction_model
This model was built using Python and Logistic Regression Algorithm
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 01 May 2026
https://github.com/rixiiz/using-knn-to-predict-the-obp-of-mlb-players
Using KNN to predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season
artificial-intelligence dataset f1-score jupyter-notebook knn-regression machine-learning matplotlib mse numpy pandas python scikit-learn supervised-learning
Last synced: 05 Apr 2026
https://github.com/snehilsanyal/ee524
Course webpage for IIT Guwahati EE524 Machine Learning Lab (Jul-Nov 2020) Session
course-webpage machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 01 May 2026
https://github.com/kento75/keiba_machine_learning
scikit-learnを用いた競馬予測用スクリプト
machine-learning matplotlib pandas postgresql psycopg2 python3 scikit-learn
Last synced: 18 Apr 2026
https://github.com/omanshu209/ml-basics-2022
Machine Learnings(AI) models developed using the scikit-learn library in Python.
jupyter-notebook machine-learning python python3 scikit-learn
Last synced: 06 May 2026
https://github.com/nemeslaszlo/heart-disease
Heart disease classification project with different models (LogisticRegression, KNeighboursClassifier, RandomForestClassifier) and detailed reports.
classification knearest-neighbor-classifier logistic-regression mathplotlib numpy pandas randomforest-classification scikit-learn seaborn
Last synced: 15 Apr 2026
https://github.com/tszon/end-to-end_ds_ml_project
I built an end-to-end customer churn segregation and prediction project.
containerisation data-science docker explianable-ai exploratory-data-analysis feature-engineering hdbscan-clustering kmeans-clustering machine-learning mlflow preprocessing-data scikit-learn shap statistical-test statistical-tests streamlit supervised-learning visualisation vscode
Last synced: 16 Apr 2026
https://github.com/glencrawford/matchmaker
A k-nearest neighbors machine learning project to perform similarity matching using a dataset of OkCupid dating profiles.
django machine-learning python scikit-learn scipy
Last synced: 06 May 2026
https://github.com/sorna-fast/breast-cancer-diagnosis-neural-network
ANN-based breast cancer classifier using the Wisconsin Diagnostic Dataset. Implements advanced feature engineering and achieves 98.25% test accuracy. Includes comprehensive EDA, model training, and clinical impact analysis
keras-classification-models keras-neural-networks keras-tensorflow matplotlib-pyplot pandas-dataframe scikit-learn seaborn-plots sklearn-library tensorflow
Last synced: 20 Apr 2026
https://github.com/gursv/autoworth
Used Car Price Prediction (India)
data-analysis data-analysis-python data-analytics data-cleaning data-preprocessing data-science-projects eda fine-tuning gridsearchcv machine-learning matplotlib-pyplot pandas python3 random-forest-regressor scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/franpog859/titanic-competition
❄️🚢 Machine Learning project workflow reference. Model predicts if given people survive the Titanic disaster basing on among others their age, sex and names
classification data-science kaggle machine-learning scikit-learn titanic workflow
Last synced: 05 May 2026
https://github.com/sralter/happy_customers
Predicting whether a customer is happy based on the results from a survey.
eda ensemble-classifier hyperopt lazypredict ml scikit-learn
Last synced: 21 Apr 2026
https://github.com/mpolinowski/isometric-mapping
Non-linear dimensionality reduction through Isometric Mapping
isomap matplotlib-pyplot python scikit-learn
Last synced: 06 May 2026
https://github.com/kartikdixit2468/advanced-jarvis-ai-using-python
An A.I voice assistant in python using simple machine learning algorithms and BardAPI.
bard bardapi jarvis machine-learning python scikit-learn voice-assistant voice-recognition
Last synced: 16 Apr 2026
https://github.com/robson-python/data-analysis-car-price-prediction
This dataset contains 10,000 entries created for the purpose of predicting car prices.
data data-visualization dataanalysis inteligencia-artificial machine-learning matplotlib pandas-dataframe python scikit-learn seaborn vscode
Last synced: 21 Apr 2026
https://github.com/dipa09/riot_imgclf
Multi-class image classifier for RIOT-OS
arduino-mega-2560 emlearn esp32-cam m2cgen micromlgen riot-os scikit-learn tinyml
Last synced: 30 Apr 2026
https://github.com/deliprofesor/ridge-regression-for-sales-prediction-model-evaluation-and-hyperparameter-tuning
This project builds and optimizes a model on a dataset using Ridge regression and polynomial features. Model accuracy is enhanced through regularization and polynomial transformations. Grid search and cross-validation are used to find the best parameters, and the model's performance is evaluated.
cross-validation data-science data-visualization grid-search machine-learning model-optimization mse overfitting-prevention polynomial-regression python r2-score regression-analysis regularization ridge-regression rmse scikit-learn
Last synced: 03 May 2026
https://github.com/ccharlesss/financeml
machine learning web application using Python's FastAPI and scikit-learn to predict S&P 500 stock price trends and cluster stocks based on average annual returns and volatility. Utilised the MVC design pattern to structure the application effectively. Implemented a decision tree classifier with 84% accuracy.
cicd docker fastapi finance javascript jenkins machine-learning restful-api scikit-learn webapplication
Last synced: 15 Apr 2026
https://github.com/flexycode/ccmaclrl
🤖 This repository is intended for our Machine Learning CCMACLRL COM231ML by Professor Elizer Ponio Jr
artificial-intelligence linnear-regression machine-learning machine-learning-algorithms python random-forest scikit-learn supervised-learning tensorflow
Last synced: 07 May 2026
https://github.com/marksikaundi/handson-machinelearning
Complete Collection about Machine Learning
matplotlib pandas-python scikit-learn tensorflow
Last synced: 07 May 2026
https://github.com/cbjuan/paper-ijimai-ml-employability
Jupyter notebook developed to support the research presented in the paper "Proposing a machine learning approach to analyze and predict employment and its factors"
jupyter-notebook python research scikit-learn
Last synced: 07 May 2026
https://github.com/kohlerhector/trex-tree-reward-exploration
Using Tree estimators of the MDP models to then count leaves grouping similar transitions and do count-based exploration.
decision-trees drl exploration rl scikit-learn stable-baselines3
Last synced: 04 May 2026
https://github.com/kashifmoin1410/computer-vision-traditional-vs.-deep-learning-approaches
This project compares traditional Bag-of-Words with SVM and a custom ResNet-style CNN for image classification on the CIFAR-10 dataset. It covers the full workflow: feature extraction, model building, training, evaluation, and visualization. Results demonstrate the superior accuracy and robustness of deep learning models over classic ML pipelines.
bag-of-words cifar10 cnn comparative-analysis computer-vision deep-learning feature-extraction image-classification keras knn-classification machine-learning model-evaluation neural-network python3 resnet scikit-learn sift-algorithm svm-classifier
Last synced: 06 May 2026
https://github.com/nirmalyabag20/loan-status-prediction-using-machine-learning
This project focuses on predicting the loan status (approved or not approved) based on various applicant details. The goal is to develop a machine learning model that accurately classifies whether a loan should be approved, helping financial institutions make informed lending decisions.
matplotlib numpy pandas python scikit-learn seaborn support-vector-machine
Last synced: 19 Jan 2026
https://github.com/asut00/machine-learning-program_42ai
Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.
linear-regression machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 07 May 2026
https://github.com/aymanmansur/insider-threat-detection-using-cert-dataset-logon-
Detecting anomalies in user logon behavior using the CERT Insider Threat Detection Dataset. This project extracts key features like session duration and logon frequency during non-working hours and applies Isolation Forest to identify suspicious activity.
matplotlib pandas python scikit-learn
Last synced: 07 May 2026
https://github.com/dhairyac/student-performance-analysis
Analyze and visualize features affecting student performance
decision-tree-classifier logistic-regression matplotlib numpy pandas random-forest-classifier scikit-learn seaborn
Last synced: 07 May 2026
https://github.com/soumya6tiwari/customer-segmentation-using-rfm-analysis
This project focuses on customer segmentation using RFM (Recency, Frequency, Monetary) analysis and K-Means clustering. It enables businesses to identify high-value customers, optimize marketing strategies, and improve customer retention through data-driven insights.
backend clustering flask frontend kmeans-clustering matplotlib numpy pandas python rfm-analysis scikit-learn unsupervised-learning
Last synced: 16 Feb 2026
https://github.com/tynab/inferential-statistics
CyberSoft Machine Learning 03 - Inferential Statistics
anaconda anaconda-navigator cybersoft cybersoft-academy inferential-statistics ipynb jupyter-notebook machine-learning machine-learning-03 matplotlib ml ml-03 numpy pandas py python scikit-learn scipy seaborn sklearn
Last synced: 06 Mar 2026
https://github.com/rajikaimal/emma
:santa: Intelligent mention bot for GitHub organizations
bot emma machine-learning python scikit-learn
Last synced: 24 Apr 2026
https://github.com/noahtigner/discoverdaily
A Spotify Recommender System. Trains a Classifier on your musical tastes and recommends songs daily. Uses the Spotify API and scikit-learn for machine learning.
machine-learning recommender-system scikit-learn spotify spotify-api
Last synced: 24 Apr 2026
https://github.com/emmanuelezenwere/aind-aiprojects
Portfolio of AI projects developed during my Udacity AI Nanodegree, covering Planning AI, Constraint Satisfaction, Hidden Markov Models, and Search algorithms.
alpha-beta-pruning astar-algorithm bellman-equation breadth-first-search constraint-satisfaction-problem depth-first-search hidden-markov-model kalman-filter minmax-algorithm networkx nltk numpy pandas scikit-learn scipy sympy
Last synced: 29 Apr 2026
https://github.com/python840/machine-learning-from-math-to-models
An in-depth book covering essential topics for AI, ML and DL.
ai artificial-intelligence artificial-intelligence-algorithms artificial-neural-networks deep-learning deep-neural-networks machine-learning machine-learning-algorithms matplotlib matplotlib-pyplot matplotlib-python neural-network neural-networks python python3 reinforcement-learning reinforcement-learning-algorithms scikit-learn tensorflow
Last synced: 29 Apr 2026
https://github.com/haloapping/ml-with-me
Kalo dengar istilah ML, biasanya rada ambigu. Soalnya punya beberapa kepanjangan, seperti Mobile Legend, Makan Lontong, dan lain-lain. Tapi pada repo ini membahas Machine Learning :)
ml pusing python3 scikit-learn stress tau-ah-gelap
Last synced: 14 Apr 2026
https://github.com/msikorski93/alzheimer-s-disease-classification
A multi classification using scikit-learn and TensorFlow models on MRI scans of patient's brains.
alzheimers-disease classification efficientnetb0 inceptionv3 knn-classifier mri-brain random-forest scikit-learn svc tensorflow
Last synced: 01 May 2026
https://github.com/analitico-771/creditworthiness_classification_model
This is an Application that trains a model using supervised learning and imbalanced-learn library in order to classify and identify the creditworthiness of borrowers
artificial-intelligence credit-risk fintech imbalanced-learning machine-learning python quantitative-finance scikit-learn supervised-machine-learning
Last synced: 04 May 2026
https://github.com/antim21/spamsense-ai
Classifying emails into Spam or Not Spam categories using Machine Learning techniques
machine-learning nlp python scikit-learn
Last synced: 04 May 2026
https://github.com/adzialocha/notebook
Jupyter notebooks for random experiments with audio processing, data analysis and machine learning
jupyter-notebook keras learning librosa music21 scikit-learn
Last synced: 15 Apr 2026
https://github.com/piyush1927/flightforecast
ML model to predict flight prices based on various features like departure time, arrival time, duration, airline, source, destination, and number of stops.
machine-learning mathplotlib numpy pandas scikit-learn seaborn
Last synced: 16 Apr 2026
https://github.com/luismisanve/transformersnertrainer
Python script to train a NER AI Model
accelerate datasets huggingface ner pytorch scikit-learn seqeval torch transformers
Last synced: 25 Apr 2026
https://github.com/vectominist/mednlp
Mandarin Medical Dialogue Analysis with Pytorch.
dialog huggingface mandarin medical pytorch scikit-learn transformers
Last synced: 04 May 2026
https://github.com/shimazadeh/total-perspective-vortex
This subject aims to create a brain computer interface based on electroencephalographic data (EEG data) with the help of machine learning algorithms. Using a subject’s EEG reading, you’ll have to infer what he or she is thinking about or doing - (motion) A or B in a t0 to tn timeframe.
ai algorithm classification datascience dimensionality-reduction eeg scikit-learn
Last synced: 25 Apr 2026
https://github.com/shihjen/aki_prediction_icu_patients
Project of Course SPH6004 Advanced Statistical Learning
electronic-medical-record healthcare-analysis machine-learning python scikit-learn
Last synced: 07 May 2026
https://github.com/artemxdata/car-price-prediction
Car Price Prediction – Machine learning project for estimating car prices based on technical specifications and market data. The goal is to achieve an RMSE below 2500 by comparing multiple models (Linear Regression, Random Forest, LightGBM) and analyzing training vs. prediction time.
car-price-prediction data-science lightgbm machine-learning notebook python regression rmse scikit-learn supervised-learning used-cars vehicle-pricing
Last synced: 01 May 2026