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/hiftd22/wpattern
📈 Analyze and visualize stock patterns with wPattern for better trading insights. Simplify your investment decisions through data-driven analysis.
cli finance financial-analysis financial-data matplotlib numpy pandas pattern-recognition python scikit-learn stock-scanner technical-analysis yfinance
Last synced: 29 Apr 2026
https://github.com/pranavsp108/market_basket_analysis-instacart
Customer segmentation and market basket analysis using the Instacart dataset with Python, Pandas, and K-Means clustering.
customer-segmentation-and-buying-behavior data-analysis data-visualization instacart jupyter-notebook kmeans-clustering market-basket-analysis pandas python scikit-learn
Last synced: 05 May 2026
https://github.com/enyaude/california_house_price_prediction
Developed a California house price prediction model utilizing linear regression and Random Forest, and applied machine learning techniques such as Ridge, and Lasso for optimization in Python.
jupyter-notebook linear-regression python random-forest scikit-learn streamlit
Last synced: 23 Feb 2026
https://github.com/jlee9503/telecommunication-churn
Analyze key factors influencing customer churn using Python data analytics technique. Explore key factors through data preprocessing, exploratory data analysis (EDA), and predictive modeling.
data-analysis data-visualization matplotlib pandas python scikit-learn
Last synced: 18 Jan 2026
https://github.com/himanshkr03/loan_default_prediction_using_machine_learning
This repository contains a Python-based project that uses machine learning to predict loan defaults. It explores data preprocessing, feature engineering, and model training techniques to build a predictive model for assessing loan risk.
data-science finance loan-default-prediction machine-learning pandas prediction-model python risk-assessment scikit-learn
Last synced: 14 Apr 2026
https://github.com/tiarmdhnt/detect-botnets-in-network-traffic
Application of Deep Learning to Detect Botnets in Network Traffic Using CTU-13 Dataset
botnet-detection deep-learning machine-learning matplotlib network-security neural-networks pandas python pytorch scikit-learn seaborn tensorflow
Last synced: 14 Apr 2026
https://github.com/sohitbennett/roadsafe
A Deep learning computer vision system for real-time traffic safety monitoring.
computer-vision esrgan keras numpy pandas python scikit-learn tensorflow tesseract-ocr yolov5 yolov8
Last synced: 08 Apr 2026
https://github.com/allanreda/automated-k-means-clustering-engine
An interactive K-Means clustering tool built with Flask and Scikit-Learn, supporting Excel file uploads, cluster analysis, and data export, deployed on Google Cloud Run via Docker with CI/CD integration.
cicd css data-visualization deployment docker flask google-cloud-run html javascript k-means-clustering machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 19 Jan 2026
https://github.com/lemma-osu/sknnr
scikit-learn compatible estimators for various kNN imputation methods
classification gnn gradient-nearest-neighbor imputation k-nearest-neighbor knn most-similar-neighbor msn random-forest-nearest-neighbor regression rfnn scikit-learn sklearn-estimator
Last synced: 23 Feb 2026
https://github.com/katjaweb/king-county-house-price-prediction
This project aims to predict house prices based on various features such as square footage, number of rooms or location.
machine-learning python regression scikit-learn
Last synced: 19 Jan 2026
https://github.com/lorenzorottigni/ml-breast-cancer
Machine Learning python bootcamp: Support Vector Machines using breast cancer dataset
ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines
Last synced: 14 Apr 2026
https://github.com/sudarshanc00/smishing
This project aims to classify text messages to detect potential smishing (SMS phishing) attacks. Using machine learning, the project provides a classifier that can differentiate between legitimate messages and smishing attempts, helping to prevent scams.
nltk numpy pandas python scikit-learn scipy
Last synced: 14 Apr 2026
https://github.com/ricardorobledo/paymentcardfrauddetection2025
Comparative analysis of probabilistic classification models for credit card fraud detection, focusing on model calibration and threshold optimization in highly imbalanced datasets.
imbalanced-learn matplotlib numpy pandas python3 scikit-learn search
Last synced: 14 Apr 2026
https://github.com/nikshithmenta/fake-news-detector
This repository contains a Streamlit web app designed for fake news detection. Users can input a news article, and the app will predict whether it's real or fake based on its content. It also allows users to choose between different vectorizers (TF-IDF or Bag of Words) and classifiers (Linear SVM or Naive Bayes) to customize the prediction model.
bag-of-words fake-news-detection linear-svc naive-bayes-classifier scikit-learn streamlit-application tf-idf
Last synced: 15 May 2026
https://github.com/taimoorkhan10/ai-fairness-explainability-toolkit
AI Fairness and Explainability Toolkit (AFET) is an open-source project aimed at providing tools and frameworks to assess, visualize, and mitigate bias in machine learning models. It supports multiple ML frameworks and offers a comprehensive suite of metrics and visualization components to enhance model transparency and fairness.
ai bias-detection data-science ethical-ai explainable-artificial-intelligence fairness machine-learning mlops model-interpretation open-source python responsible-ai scikit-learn
Last synced: 19 Jan 2026
https://github.com/jsimell/sleepanalysis
A Python data analysis project analyzing the sleep quality affecting factors and temporal patterns in the sleeping data of a single subject.
data-analysis matplotlib numpy pandas python scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/abideen-olawuwo/heart-diseases
A Heart diseases Machine Learning classification problem
decision-tree-classifier kneighborsclassifier logistic-regression matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/wasifsohail5/amusic-ai_powered_musicrecommendationsystem
AMUSIC is an AI-driven music recommendation system that helps users discover personalized songs. Using Python, Streamlit, and Scikit-learn, it offers smart recommendations, advanced search, and interactive music insights. Users can save favorites, create playlists, and export data for a seamless music discovery experience.
joblib k-nearest-neighbours matplotlib minmaxscaler numpy pandas pickle plotly python scikit-learn seaborn streamlit
Last synced: 14 Oct 2025
https://github.com/yahiazakaria445/ensemble-learning-voting-classifier
Ensemble Learning Using KNN, Naive Bayes, Decision Tree on Biomechanical Data
matplotlib numpy pandas scikit-learn seaborn
Last synced: 30 Apr 2026
https://github.com/aasjunior/machinelearningapp
O Machine Learning App é um aplicativo desenvolvido com Kotlin, Android Studio e Jetpack Compose, para aplicação de algoritmos de aprendizado de máquina e exibição dos resultados. Realizado como tarefa da disciplina de Laboratório Mobile/Computação Natural no 5º Semestre de Desenvolvimento de Software Multiplataforma.
fastapi jetpack-compose kotlin-android machine-learning material-design scikit-learn
Last synced: 18 Apr 2026
https://github.com/moanassiddiqui/handsonml_ml
This is the complete part I of the Hands-On Machine Learning book which was about the classical machine learning models.
hands-on machine-learning scikit-learn
Last synced: 14 Mar 2026
https://github.com/mindlessmuse666/iris-ml-based-on-decision-trees
Проект демонстрирует применение моделей машинного обучения на основе деревьев решений и случайного леса для классификации набора данных Iris. Включает в себя загрузку данных, обучение моделей, оценку производительности и визуализацию результатов. Предназначен для изучения основ машинного обучения и анализа данных.
classification data-analysis data-visualization decision-trees iris-dataset machine-learning model-evaluation python random-forest scikit-learn
Last synced: 17 Oct 2025
https://github.com/eesunmoon/machine_learning
[Spring 2021] Machine Learning
data-analysis kaggle machine-learning ml python scikit-learn sklearn
Last synced: 14 Apr 2026
https://github.com/hassan11196/churn-nn
A simple Churn Predictor using Scikit's Multi-Layer Perceptron Classifier
jupyter-notebook machine-learning ml neural-network python scikit-learn
Last synced: 14 Apr 2026
https://github.com/djdhairya/rooftop-solar-detection
data-processing data-science deep-learning eda machine-learning pandas scikit-learn tif
Last synced: 27 Jan 2026
https://github.com/alexliap/sk_serve
Deployment of a Scikit-Learn model and it's column transformations made easy.
machine-learning mlops model-deployment scikit-learn
Last synced: 24 Oct 2025
https://github.com/santiagoenriquega/ez-animate
A Python package for creating Matplotlib animations with minimal code. Built to quickly visualize model behavior.
animation machine-learning matplotlib python scikit-learn
Last synced: 15 Mar 2026
https://github.com/smahala02/svm-machine-learning
This repository provides an in-depth tutorial and practical implementation of Support Vector Machines (SVM) for classification tasks, using Python and popular data science libraries.
classification data-science machine-learning python scikit-learn svm
Last synced: 30 Jan 2026
https://github.com/rahul-120/crop_recom
This project is a Machine Learning based Crop Recommendation System built using Flask. It helps farmers or users decide the most suitable crop to grow based on soil nutrients and environmental conditions.
crop-recommendation-system flask flask-application machine-learning python3 scikit-learn
Last synced: 02 May 2026
https://github.com/raulmaulidhino-dev/ml_modelling_regression
There are many factors that influence the grades/scores of students. One of the factors is study hours. In this mini analysis project, there are 3 models that will learn and predict the relation between study hours of students and their scores in an exam/test. This project will result the best ML model to solve the problem.
data data-analysis-python data-science eda machine-learning scikit-learn
Last synced: 28 Jan 2026
https://github.com/dilkushsingh/iris-species-classifier
Used Random Forest Classifier Algorithm
huggingface-spaces numpy pandas python random-forest-classifier scikit-learn streamlit
Last synced: 15 Apr 2026
https://github.com/pyzit/recommandation-engine-in-drf-sk-learn
Full Stack Movie Recommendation System Project made in Django REST Framework and React JS
api django django-rest-framework movies reactjs recommender-system scikit-learn
Last synced: 28 Jan 2026
https://github.com/engineertolulope/us_states_living_ranking_analysis
Python script for analyzing and ranking U.S. states based on factors like cost of living, tax burden, diversity, crime rates, and climate. Uses weighted criteria to identify the best states to live in according to these metrics. Ideal for decision-making on relocation.
data-analysis data-science linear-regression machine-learning python scikit-learn
Last synced: 29 Jan 2026
https://github.com/samjoesilvano/airline_ticket_fare_prediction
Airline Fare Prediction using Machine Learning focuses on developing a Random Forest model to predict flight prices, achieving an R² score of 0.804. The project includes hyperparameter tuning using RandomizedSearchCV, alongside extensive data preprocessing and feature engineering to ensure robust model performance.
airline-fare-prediction data-preprocessing data-visualization feature-engineering feature-selection hyperparameter-tuning machine-learning pandas python random-forest randomizedsearchcv regression-analysis scikit-learn
Last synced: 15 Apr 2026
https://github.com/beatrizandradeds/sistema-recomendacao-filmes
🎬 Sistema de Recomendação de Filmes usando ML | Vetorização de texto, cosine similarity e NLP com Python
content-based-filtering cosine-similarity data-science data-science-projects machine-learning natural-language-processing nlp portfolio python recommendation-system scikit-learn
Last synced: 29 Apr 2026
https://github.com/jaypanchal9/fraud-detection-case-study
A comprehensive case study applying machine learning techniques to detect fraudulent transactions effectively.
machine-learning matplotlib numpy pandas python3 scikit-learn seaborn xgboost
Last synced: 15 Apr 2026
https://github.com/itssahilwhat/ai-fundamentals
A curated collection of fundamental AI concepts, algorithms, and code implementations — including Machine Learning, Deep Learning, and Computer Vision — built from scratch and with practical examples.
computer-vision deep-learning machine-learning numpy pandas python pytorch scikit-learn
Last synced: 15 Apr 2026
https://github.com/umasivakumar14/f1imagerecognition
Predicts the F1 driver given in an image of their face.
crossvalidation flask gridsearchcv haar-cascade image-recognition machine-learning python scikit-learn seaborn wavelet-transform
Last synced: 25 Feb 2026
https://github.com/gunjangyl/iris-detection
The Iris Detection Project classifies different species of Iris flowers using machine learning techniques. It analyzes four key features—sepal length, sepal width, petal length, and petal width—to predict one of three classes: Setosa, Versicolor, or Virginica. The project uses algorithms like KNN, Decision Trees, or SVM for classification. Model pe
knn-classification matplotlib python scikit-learn seaborn
Last synced: 15 Apr 2026
https://github.com/samiyaalizaidi/nn-ml-homeworks
Homework solutions for CPE-4903: Neural Networks & Machine Learning at Kennesaw State University.
machine-learning machine-learning-workflow neural-networks numpy scikit-learn
Last synced: 15 Apr 2026
https://github.com/as1467/canada-per-capita-income-prediction
This project is a simple machine learning exercise to predict Canada's per capita income based on historical data. The dataset used in this project was sourced from the CodeBasics GitHub repository and is used here to practice linear regression as part of my machine learning learning process.
machine-learning matplotlib-pyplot pandas python scikit-learn
Last synced: 15 Apr 2026
https://github.com/nikitalpopov/evotor_champ
solution for evotor data challenge
data-analysis data-science python scikit-learn
Last synced: 15 Apr 2026
https://github.com/tanzim-prog/sentiment_analysis_ml_stringdata
The motive of this project is to find out the customer satisfaction of some residential hotels of Dhaka.
accuracy-score classification confusion-matrix f1-score logistic-regression machine-learning model-evaluation modelbuilding nlp nltk numpy pandas precision-score recall-score scikit-learn sentiment-analysis
Last synced: 01 Feb 2026
https://github.com/marcusjhang/nvda-timeseriesanalysis
NVDA stock price predictor (WIP)
keras lstm pandas scikit-learn time-series-analysis
Last synced: 15 Apr 2026
https://github.com/tungct/tngtclassifer
bayes-classifier python2 scikit-learn
Last synced: 15 Apr 2026
https://github.com/djdhairya/medicine-recommendation-system
csv deep-learning f1-score machine-learning pickle random-forest scikit-learn svc svm
Last synced: 10 Feb 2026
https://github.com/sabin74/fake_news_detection
This project implements a Fake News Detection system using Python, Natural Language Processing (NLP), and machine learning. It classifies news articles as Real or Fake based on their textual content.
fake-news-detection kaggle-dataset multinomial-naive-bayes passive-aggressive-classifier python3 regex scikit-learn
Last synced: 16 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/zsailer/skspline
A Scikit-learn interface on Scipy's spline.
Last synced: 16 Apr 2026
https://github.com/rggh/wine_ml
wine
linear-regression matplotlib ml scikit-learn
Last synced: 12 Feb 2026
https://github.com/sergeimakarovv/energy-data-analytics-ml
Analyzing global data on sustainable energy, predicting CO2 emissions per capita
machine-learning pandas plotly python scikit-learn streamlit
Last synced: 12 Feb 2026
https://github.com/mzohaib364/house-price-prediction-model
End to End ML Project with Scikit Learn
cross-validation decision-tree-regression linear-regression random-forest-regression scikit-learn
Last synced: 13 Feb 2026
https://github.com/codersales/machine-learning-project
Machine Learning Project
code data-science filtered-4 jupyter last-quarter machine-learning not-this-month numpy over-100-commits pandas pseudo-current python repository-6 scikit-learn sub-critical supervised supervised-learning
Last synced: 02 Mar 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/paultheal1en/dsc-fact-checking
Fact-checking project classifying claims as SUPPORTED, REFUTED, or NEI. Uses ANN, DNN, RNN, CNN, Random Forest, PhoBERT, and Sentence Transformers.
deep-learning fact-checking keras machine-learning nlp phobert random-forest scikit-learn sentence-transformers tensorflow transformers
Last synced: 16 Apr 2026
https://github.com/hafidaso/predicting-industrial-machine-downtime-level-3
This project aims to develop a predictive model using machine learning techniques to forecast machine failures based on historical operational data.
imbalanced-learning numpy pandas python scikit-learn seaborn xgboost
Last synced: 16 Apr 2026
https://github.com/silky-x0/spam-detector
An machine learning algorithm to detect spam emails or such.
jupyter-notebook nltk-python pandas python3 scikit-learn
Last synced: 16 Apr 2026
https://github.com/khaymanii/calories-burnt-prediction-model
This model was built using Python and XGBoost Regression algorithm
matplotlib numpy pandas python scikit-learn
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/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/sahiltiwariiii/dssp
Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc
docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit
Last synced: 27 Mar 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/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/zenklinov/regression_logistic_-_sentiment_analysis_movie_data
This repository contains code for performing sentiment analysis using scikit-learn and logistic regression
llm natural-language-processing nlp nltk scikit-learn sentiment-analysis
Last synced: 10 May 2026
https://github.com/iamwatchdogs/cardiovascular-risk-prediction
This mini-project uses machine learning algorithms to predict possible risks of heart disease by analyzing given data.
jupyter-notebook machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn
Last synced: 02 Apr 2026
https://github.com/raphael-ufrj/analise_algodao
Análise histórica de plantio de algodão, analise do plantio com base no clima e nos dados históricos.
analysis data-science data-visualization dataset docker pandas provenance python python3 scikit-learn seaborn streamlit
Last synced: 02 Apr 2026
https://github.com/prashver/end-to-end-model-deployment-on-aws
Student Performance Analysis with Machine Learning analyzes factors impacting student outcomes using a robust machine learning pipeline. Achieving an impressive R2 score, it predicts student performance effectively. With extensive data preprocessing and deployment on AWS Elastic Beanstalk, it ensures scalability and high availability.
amazon-web-services aws-elastic-beanstalk end-to-end-deployment flask machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn
Last synced: 02 Apr 2026
https://github.com/arjunravi26/sentimental-analysis
Sentimental Analysis Project
gensim nltk numpy pandas scikit-learn tensorflow word2vec
Last synced: 02 Apr 2026
https://github.com/nathan-lindstedt/randomization_tests
Permutation Methods for Nonprobability Data
jax nonparametric-statistics nonprobability-sampling permutation-test randomization-test scikit-learn uci-ml-repository
Last synced: 17 Apr 2026
https://github.com/nikhilgugwad/sentiment-analysis
Sentiment analysis for the Kannada language to classify Kannada sentences into different emotions.
Last synced: 17 Apr 2026
https://github.com/antonio-f/regularization-methods
Shrinkage methods: Ridge Regression and Lasso
lasso lasso-regression machine-learning numpy python regularization ridge-regression scikit-learn
Last synced: 17 Apr 2026
https://github.com/vyjayanthipolapragada/logistic_regression_classifier
Built a classifier using Logistic Regression model to classify different species of flowers
cancer-classification classification data-science flower-classification jupyter-notebook logistic-regression pandas python scikit-learn
Last synced: 17 Apr 2026
https://github.com/snikumbh/archr
archR: Identifying promoter sequence architectures de novo using NMF
archr discovery nmf non-negative-matrix-factorization promoter-sequence-architectures r r-package scikit-learn sequence-architectures unsupervised-machine-learning
Last synced: 18 Apr 2026
https://github.com/bjpcjp/scikit-learn
Updates in progress. Jupyter workbooks will be added as time allows.
Last synced: 18 Apr 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/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/ksasi/dog-breed-classifier
Dog Breed Classifier
cnn cnn-classification computer-vision deep-learning deep-neural-networks keras keras-neural-networks machine-learning numpy pandas python scikit-learn
Last synced: 05 Apr 2026
https://github.com/ricardorobledo/next_level_data_science
matplotlib numpy pandas python3 scikit-learn
Last synced: 05 Apr 2026
https://github.com/elprofesoriqo/kagglecompetitions
Kaggle competitions projects
artificial-intelligence machine-learning python pytorch scikit-learn
Last synced: 05 Apr 2026
https://github.com/deliprofesor/game-search-volume-prediction-machine-learning-models-and-forecasting
This repository uses machine learning models like Random Forest, XGBoost, LightGBM, and time-series forecasting with Prophet to predict game search volumes. Additionally, Grid Search is applied for hyperparameter tuning of the LightGBM model.
data-cleaning data-science data-visualization feature-selection forecasting-models game-search grid-search hyperparameter-tuning lightgbm machine-learning pandas prophet python random-forest scikit-learn time-series-analysis time-series-forecasting xgboost
Last synced: 18 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/yashrajgithub/crop-recommendation
KrishiGyaan is a web app designed to help farmers make informed decisions on crop selection. By analyzing soil and environmental factors, the app provides personalized crop recommendations, enhancing agricultural productivity and promoting sustainable farming practices.
api artificial-intelligence crop-recommendation-system data-preprocessing data-visualization json machine-learning-algorithms pickle python random-forest-classifier scikit-learn streamlit supervised-learning train-test-split user-interface
Last synced: 05 Apr 2026
https://github.com/nowon1/insurance-claim-prediction_version
This project aims to predict the insurance claim amounts based on various customer attributes using machine learning techniques. The project involves data preprocessing, exploratory data analysis, feature engineering, and model training and evaluation.
data-preprocessing data-science data-visualization exploratory-data-analysis feature-engineering insurance jupyter-notebook machine-learning numpy pandas predictive-modeling python random-forest regression-analysis scikit-learn
Last synced: 05 Apr 2026
https://github.com/kenatsf/basic_data_analysis
Basic data science project: ETL, forecast and data visualization.
analysis data data-analysis data-science logistic-regression matplotlib matplotlib-pyplot numpy pandas powerbi python scikit-learn time-series time-series-analysis time-series-forecasting
Last synced: 05 Apr 2026
https://github.com/thekartikeyamishra/ai-customer-feedback-summarizer
The AI Customer Feedback Summarizer is a Python-based application that processes customer feedback, extracts insights, and summarizes reviews. This basic version uses extractive summarization techniques, and the advanced version integrates advanced sentiment analysis, visualization, and industry-specific fine-tuning.
ai chatbot gpt machine-learning matplotlib nltk pandas python scikit-learn streamlit
Last synced: 18 Apr 2026
https://github.com/vijaykumarr1452/black_friday_sales_analysis
Black Friday Sales Analysis python machine learning project using pandas and scikit-learn for data preprocessing, model training, and performance evaluation.
confusion-matrix jupyter-notebook machine-learning pandas python random-forest-classifier sales-analysis scikit-learn
Last synced: 19 Apr 2026
https://github.com/namratha2301/carprice_analysisandprediction
This project analyzes factors influencing vehicle prices using a dataset of various attributes, including Engine capacity, Power, Mileage, and Seating capacity.
data-analysis data-visualization exploratory-data-analysis machine-learning pandas predictive-modeling random-forest-classifier regression scikit-learn seaborn
Last synced: 20 Apr 2026
https://github.com/tryomar/data-miner
DataMiner is an interactive web application for data mining and machine learning. It helps users upload, clean, transform, and analyze datasets while building predictive models — all through a simple and powerful Streamlit interface.
data-cleaning data-mining data-preprocessing data-science data-visualization interactive-dashboards pandas python scikit-learn streamlit
Last synced: 20 Apr 2026
https://github.com/adityapradhan202/binge-trend
Media and entertainment recommendation website with AI powered recommendation system.
datascience-machinelearning natural-language-processing python scikit-learn spacy-nlp
Last synced: 21 Apr 2026
https://github.com/yogeshsinghkatoch9/advanced_nyc_housing_price_prediction
A robust ensemble learning framework for advanced NYC housing price prediction, leveraging global, clustered, and local ensembles with hyperparameter tuning.
data-science ensemble-learning housing-prices machine-learning new-york python scikit-learn
Last synced: 21 Apr 2026
https://github.com/waikato-datamining/spectral-data-converter-sklearn
Scikit-learn plugins for the spectral-data-converter library.
kasperl scikit-learn sdc seppl spectral-data
Last synced: 24 Apr 2026
https://github.com/mcp-tool-shop-org/runforge-vscode
RunForge VS Code Extension - Push-button ML training with presets
deterministic developer-tools machine-learning mcp python scikit-learn training typescript vscode vscode-extension
Last synced: 25 Apr 2026
https://github.com/leolion3/smartnanotubes-smellinspector-companion
Companion software for the SmellInspector Devices from SmartNanoTubes. Allows specifying substances, connecting multiple devices, collecting data and performing machine learning.
docker machine-learning python3 reactjs scikit-learn smartnanotubes smellinspector
Last synced: 27 Apr 2026
https://github.com/davidrpugh/kaust-dsa-201
Course materials for KAUST DSA 201
deep-learning machine-learning pytorch scikit-learn
Last synced: 27 Apr 2026
