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/priyanshulathi/air-quality-index-prediction
Machine learning based air quality index prediction using environmental and pollutant data to classify and forecast pollution levels.
machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 19 Jan 2026
https://github.com/khushirajurkar/exoplanet-habitability-prediction-model
Predicts whether an exoplanet is habitable using ML. Handles class imbalance with ADASYN, tests multiple models, and saves the best one. Includes confusion matrices, ROC curves, and a clean Jupyter notebook
adasyn astroinformatics confusion-matrix exoplanets logistic-regression machine-learning multiclass-classification python roc-curve scikit-learn smote
Last synced: 06 May 2026
https://github.com/jeus0522/7-explore-different-classifier-ml-app
A project exploring various classification algorithms, showcasing their implementation, comparison, and evaluation using Python and scikit-learn.
k-nearest-neighbours knn random-forest scikit-learn streamlit support-vector-machine svm
Last synced: 21 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/fanyicharllson/mobile-money-transaction-analysis
Machine learning pipeline for classifying mobile money users (MTN MoMo & Orange Money) into activity segments — CSC 3221 Final Project, ICT University Cameroon.
cameroon data-science ict-university jupyter jupyter-notebook machine-learning mtn-momo orange-money python scikit-learn
Last synced: 31 May 2026
https://github.com/wb-az/peft-lora-opt-llm-emotion-analysis
This repository contains code to fine llm with diverse peft techniques with custom datasets.
emotion-analysis facebook-opt huggingface-transformers llm-fine-tuning llm-inference lora modernbert peft-fine-tuning-llm plotly-express python3 pytorch roberta-base scikit-learn scipy supervised-finetuning
Last synced: 30 Dec 2025
https://github.com/probokrishnacahya/machine_learning
IMT01306601-A Machine Learning
ipynb machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/jatin-mehra119/paris_housing_price-kaggle-
Paris Housing Price Kaggle Competiton
data data-visualization kaggle-competition machine-learning numpy pandas predictive-modeling scikit-learn
Last synced: 29 Apr 2026
https://github.com/manome/python-supervised-learning
This project provides sample code for performing supervised learning.
conformal-prediction scikit-learn supervised-learning
Last synced: 19 Jan 2026
https://github.com/soumyapro/parkinson-disease-prediction
This project predicts Parkinson's disease using machine learning models.
logistic-regression numpy pandas scikit-learn svc xgboost
Last synced: 19 Jan 2026
https://github.com/afkewolczyk/data_science_bootcamp
A data science project to learn data science essentials such as: pandas, Matplotlib, Scikit learn
ai data-science machine-learning pandas scikit-learn
Last synced: 07 May 2026
https://github.com/stewartpark/sklearn2gem
⚡ sklearn2gem ports your scikit-learn model into a fast ruby C binding!
ruby rubygem scikit-learn sklearn
Last synced: 01 Mar 2026
https://github.com/chaakshay/heartdrive
A Streamlet-based tool that analyzes cardiovascular health data, predicts population risk using ML, and suggests targeted government actions like awareness campaigns, health checkups, and policy changes.
csv mathplotlib numpy pandas pandas-dataframe python scikit-learn seaborn streamlit
Last synced: 05 Apr 2026
https://github.com/gabrielmazzotta/nlp-clustering--movie-similarity-from-plot-summaries
A Python-based movie recommendation system leveraging NLP and clustering techniques. This project includes data processing, vectorization of plot summaries, and the implementation of recommendation algorithms to suggest similar movies based on user input.
clustering cosine-similarity hierarchical-clustering kmeans lemmatization nlp recommendation-engine scikit-learn similarity-score spacy tokenization
Last synced: 21 Jan 2026
https://github.com/1adityakadam/tweet-classification-using-nlp-techniques
This project classifies tweets as toxic or non-toxic using NLP and machine learning. It includes preprocessing, feature engineering, and models like Logistic Regression, Random Forest, and XGBoost on labeled tweet datasets. Technologies: Python, Pandas, NLTK, Scikit-learn, XGBoost.
nltk pandas python scikit-learn xgboost
Last synced: 05 May 2026
https://github.com/vivekkdagar/naivebayesclassifier
Multinomial Naive Bayes Language Classification model
artificial-intelligence beautifulsoup4 college-project github joblib kaggle kaggle-dataset linux machine-learning multinomial-naive-bayes naive-bayes naive-bayes-classifier natural-language-processing popos pycharm python3 scikit-learn simple-project
Last synced: 19 Jan 2026
https://github.com/angelarreola/ai_notes
Notas de la materia "Inteligencia Artificial" para su posterior extraccion mediante algun modelo de lenguaje que nos permita dar respuestas personalizadas con base a la informacion presente en este repositorio.
ai matplotlib numpy pandas phaserjs python scikit-learn
Last synced: 21 Jan 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/srijon57/disease-detector
Practice python3 detecting diseases based on symptoms
flask machine-learning pandas python3 scikit-learn typescript vite
Last synced: 11 Apr 2026
https://github.com/waikato-datamining/shallowflow-sklearn
scikit-learn support for the shallowflow Python workflow system.
python3 scikit-learn sklearn workflow-engine
Last synced: 14 Apr 2026
https://github.com/nisch-mhrzn/house_prediction
This project predicts house prices using data exploration, feature engineering, and machine learning models like Linear Regression and Random Forest. It demonstrates how to optimize models and evaluate their performance to accurately forecast house prices.
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 08 Apr 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/angelalim88/jakarta-air-quality-index-classification
This project classifies Jakarta's Air Quality Index (AQI) from 2010 to 2023 using machine learning models (Random Forest, MLP, SVM) based on pollutant concentrations.
data-analysis data-visua machine-learning scikit-learn tensorflow
Last synced: 13 Oct 2025
https://github.com/szymon-budziak/real_estate_house_prices_prediction
Predicting real estate house prices using various machine learning algorithms, including data exploration, preprocessing, model training, and evaluation.
data-analysis data-preprocessing data-science eda jupyter-notebook machine-learning matplotlib numpy optuna pandas predictive-modeling price-prediction python random-forest regression scikit-learn seaborn
Last synced: 21 Jan 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/ayorick23/python-data-science-cheat-sheet
Guía rápida y práctica de sintaxis, comandos y funciones esenciales de Python para Ciencia de Datos. Perfecta para recordar cómo usar las librerías más comunes como NumPy, Pandas, Matplotlib y Scikit-learn en tus análisis diarios.
cheat-sheet data-analysis data-science data-visualization deep-learning jupyter-notebook machine-learning matplotlib ml numpy pandas python scikit-learn scipy seaborn statistics sympy tensorflow
Last synced: 07 Apr 2026
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/avik-pal/kaggle-titanic
Predicting whether a given set of people survive on the Titanic
machine-learning numpy pandas scikit-learn scikitlearn-machine-learning
Last synced: 14 Apr 2026
https://github.com/rafie-b/data-analytics
Activities of Data Analysis.
apache-spark api aws business-analytics data data-analytics data-science database dataframe jupyter-notebook python scikit-learn sql
Last synced: 14 Apr 2026
https://github.com/mahambilalandahaan/week8
K-Means Deep Dive: Clustering analysis with Elbow and Silhouette methods in Python
clustering data-visualization jupyter-notebook k-means machine-learning python scikit-learn unsupervised-learning
Last synced: 20 Apr 2026
https://github.com/ahmadmessbah/classification_app
Machine Learning No-Code Environment
classification knn logistic-regression machine-learning machinelearning mlp scikit-learn sklearn svm
Last synced: 15 May 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/gregoritsch3/ml_eda_classification_diabetes
An EDA and Machine Learning Classification exercise on the Diabetes dataset demonstrating the use of SQLAlchemy data import from an SQL database (PostgreSQL), Pre-processing Pipelines, ANOVA, 9 ScikitLearn ML models, Hyperparamter Tuning for the best performing one, and feature importance.
anova machine-learning matplotlib numpy pandas pipelines scikit-learn seaborn sql sqlalchemy statistics
Last synced: 14 Apr 2026
https://github.com/ljubogdan/solar-cycle-lstm
This project predicts sunspot activity using an LSTM model for time series data. Built with TensorFlow and Keras, it uses Huber loss for outlier handling and MAE for performance evaluation. The dataset, sourced from Kaggle or SIDC, spans over 270 years of monthly sunspot data.
conv1d huber-loss-regression kaggle keras lstm machine matplotlib numpy pandas scikit-learn seaborn solar sunspots tensorflow time-ser
Last synced: 13 Apr 2026
https://github.com/szymon-budziak/ai_football_game_analysis
Football game analysis using YOLOv8 for object detection, Optical Flow for motion tracking, speed and distance calculations, perspective transformation, and K-Means clustering for pixel segmentation.
ai computer-vision kmeans object-detection optical-flow python3 pytorch roboflow scikit-learn segmentation supervision ultralytics yolov8
Last synced: 03 May 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/sunilvarma-l/liverdiseaseprediction
"Streamlit app to predict liver disease risk using a machine learning model based on patient input data."
machine-learning matplotlib numpy pandas pickle python scikit-learn seaborn streamlit
Last synced: 13 Apr 2026
https://github.com/farhad-here/predict_student_performance
Predict Student Performance, is a data analysis and machine learning project aimed at predicting students' final performance (g3) based on demographic, family, and academic features. The project supports both Regression (predicting exact grades) and classification (Pass/Fail categories).
classification data-analysis data-visualization linear-regression machine-learning numpy pandas postgresql powerbi scikit-learn streamlit
Last synced: 14 Apr 2026
https://github.com/darkdk123/customer-churn-prediction-innobytes
Predicting Customer churns as an Internship project at Innobytes services.
data-science python scikit-learn streamlit xgboost-classifier
Last synced: 14 Apr 2026
https://github.com/navindafernando/iris
Hello world for ML :mushroom:
classification joblib k-nearest-neighbor machine-learning pandas scikit-learn
Last synced: 09 May 2026
https://github.com/mecha-aima/fake-bills-detection
This Python project implements a simple classification model comparison using scikit-learn to classify banknotes as either "Authentic" or "Counterfeit" based on four features
classification-model machine-learning model-selection scikit-learn
Last synced: 27 Jan 2026
https://github.com/icepanorama/internship-visualizations-and-demonstrations
A collection of some of the programs that I've written over the course of my internship.
artificial-intelligence machine-learning matplotlib numpy pandas python3 pytorch scikit-learn
Last synced: 14 Apr 2026
https://github.com/mahdi-meyghani/movie-recommendation-system
A Python-based movie recommendation system utilizing popularity-based, content-based, and collaborative filtering models with data science and machine learning techniques.
data-analysis data-science machine-learning recommendation-system scikit-learn scikitlearn-machine-learning
Last synced: 23 Jan 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/juzershakir/student-intervention
Predicting the likelihood that a given student will pass or not!
adaboost classification f1-score gridsearchcv logistic-regression machine-learning python2 random-forest scikit-learn student-intervention supervised-learning
Last synced: 22 Oct 2025
https://github.com/shubhamsoni98/prediction-with-binomial-logistic-regression
To predict client subscription to term deposits and optimize marketing strategies by identifying potential subscribers.
binomial data data-science eda machine-learning matplotlib pipeline python scikit-learn seaborn sklearn sql visualization
Last synced: 06 Feb 2026
https://github.com/trilokida/named-entity-recognition-and-classification
Given a string statement, the aim is to identify the B-Protein entity in the statement.
bagging-ensemble classification dictvectorizer ensemble-learning machine-learning naive-bayes-classifier named-entity-recognition ner random-forest scikit-learn
Last synced: 17 May 2026
https://github.com/haseeeb21/machine-learning-models
Machine Learning Models trained on Scikit-learn datasets. This repository contains the code files and saved models trained on Toy datasets (Classification & Regression), and Real World dataset.
anaconda classification classification-models jupyter-notebook knn knn-classification machine-learning machine-learning-algorithms python3 regression regression-models scikit-learn scikit-learn-python scikitlearn-machine-learning svm svm-classifier vscode
Last synced: 07 May 2026
https://github.com/messierandromeda/sentiment-analysis
Sentiment analysis with the IMDB movie review dataset.
imdb-dataset python scikit-learn sentiment-analysis
Last synced: 28 Jan 2026
https://github.com/bilgenurbekar/turkishcyberbullying
Contains fine-tuned BERT models and results in the text classification category using Turkish social media data
bert-fine-tuning huggingface-transformers matplotlib numpy pandas python pytorch scikit-learn transformers
Last synced: 07 Mar 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/pradeep31747/smartsuggest-personalized_product_recommendations
This project implements a personalized product recommendation system using machine learning techniques to enhance user experience and drive engagement.
jupyter-notebook keras numpy pandas pyhton scikit-learn sql tensorflow vscode
Last synced: 28 Jan 2026
https://github.com/adriantomin/bulldozer-price-prediction
Predicting the Sale Price of Bulldozers Using Machine Learning 🚜💰 This project uses machine learning to predict bulldozer sale prices based on historical data from the Kaggle Bluebook for Bulldozers competition. The goal is to minimize the RMSLE between actual and predicted prices.
data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn
Last synced: 23 Jan 2026
https://github.com/elprofesoriqo/chrome-extension-gmail-spam-filter
Chrome extension that automatically identifies and moves emails marked as spam to the spam folder in Gmail.
api-client chrome-extension firebase-database javascript machine-learning python scikit-learn
Last synced: 09 Apr 2026
https://github.com/ficaan/ml-dl-projects
A collection of Machine Learning and Deep Learning projects implemented with frameworks including PyTorch, TensorFlow and scikit-learn.
deep-learning deep-learning-projects machine-learning machine-learning-projects pytorch scikit-learn tensorflow
Last synced: 27 Oct 2025
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: 27 Oct 2025
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/anuranjanjain/video-upscaler
A WebAPP designed for upscalling video to HD Resolution using custom Denoise filter and OpenCV
artificial-intelligence opencv python scikit-learn tailwindcss
Last synced: 24 Jan 2026
https://github.com/sahraiidle/email-spam-detector
Email/SMS spam detector with a Flask UI/API, tuned ML models (TF‑IDF + SVM/LogReg/NB), and a ready-to-run web form plus JSON endpoint for predictions.
data machine-learning numpy pandas python randomforest scikit-learn spam-classifier spam-detection svm
Last synced: 24 Jan 2026
https://github.com/snigdho8869/numerical-data-analysis-projects
Exploring numerical data analysis with credit card churn, fraud detection, health predictions and more.
adaboost cnn data-analysis deep-learning dnn ensemble-learning exploratory-data-analysis gradient-boosting-classifier keras logistic-regression machine-learning ml numeric numerical-analysis pandas python3 random-forest scikit-learn support-vector-machines tensorflow
Last synced: 15 Apr 2026
https://github.com/djdhairya/parkinson-s-disease-detection
datapreprocessing machine-learning modeling numpy pandas scikit-learn svm
Last synced: 15 Apr 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/asherk7/house-price-prediction
House Prices - Advanced Regression Techniques - Predict sales prices and practice feature engineering, RFs, and gradient boosting
data-science numpy pandas regression scikit-learn
Last synced: 15 Apr 2026
https://github.com/chengetanaim/beatrecommendersystembackend
A system for music producers and rappers/singers. I was trying to implement the product recommendation feature for music uploaded by producers. I used the collaborative filtering algorithm to be able to recommend songs to users.
fastapi scikit-learn sqlalchemy unsupervised-learning
Last synced: 06 Feb 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/lau1944/coronavirus-world-prediction
Coronavirus Case Confirmed Trend Around The World
coronavirus pandas python scikit-learn
Last synced: 15 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/linggarm/poultry-meat-freshness-classification-with-transfer-learning-using-resnet
The utilization of the ResNet architecture and Transfer Learning methods to classify Poultry Meat Freshness images into two categories, namely Fresh and Rotten.
artificial-intelligence binary-classification cnn colab-notebooks computer-vision deep-learning fine-tuning imagenet machine-learning meat-classification numpy pandas poultry python residual-networks resnet scikit-learn supervised-learning tensorflow transfer-learning
Last synced: 15 Apr 2026
https://github.com/bangaji313/recommender-system-movielens
Proyek Sistem Rekomendasi Film dengan Content-Based & Collaborative Filtering. Submission untuk modul Machine Learning Terapan di Coding Camp 2025.
collaborative-filtering content-based-filtering data-science deep-learning dicoding jupyter-notebook keras movie-recommendation movielens pandas python recommender-system scikit-learn tensorflow
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/tamk-kol/project_orbital_data_analysis
The goal of this project is to develop an automatic method to detect orbital maneuvers using machine learning.
matplotlib numpy pandas scikit-learn
Last synced: 30 Jan 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/diiblo/la-poste-predictive-flux
Prédiction journalière du flux de colis dans les centres de tri de La Poste. Pipeline complet : génération de données, modélisation LightGBM, orchestration via Airflow (Docker), stockage PostgreSQL et dashboard interactif Streamlit. Projet réalisé en Mastère 2 Data Engineering à l’ECE Paris.
airflow docker postgresql scikit-learn streamlit
Last synced: 31 Jan 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/manu-karenite/medical-insurance-cost-predictor
Medical Insurance Cost Generator is a Linear Regression based Predictor which is used to estimate and predict the Cost a person has to pay while Buying a Medical Insurance.
kaggle-dataset linear-regression machine-learning matplotlib numpy pandas python3 reactjs scikit-learn
Last synced: 15 Apr 2026
https://github.com/emv271828/diabetes_cdc_uci_machine_learning
Segunda avaliação para a disciplina de Inteligência Artificial da Universidade Federal Fluminense.
jupyter-notebook machine-learning pandas python scikit-learn
Last synced: 15 Apr 2026
https://github.com/sarmad426/ai
AI basic to advanced featuring Machine Learning, Deep Learning and Data Science.
ai data-science deep-learning hugging-face machine-learning numpy pandas python scikit-learn
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/moustafamohamed01/breast-cancer-prediction
A machine learning model built with PyTorch to predict if a tumor is malignant or benign using the Breast Cancer Dataset. The model uses a neural network to classify the data and shows how to train, evaluate, and visualize results.
ai data-science deep-learning machine-learning neural-network python pytorch 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/idaraabasiudoh/telco-churn-logistic-regression
A predictive model using logistic regression to identify customers likely to churn from a telecommunications company.
logistic-regression machine-learning python3 scikit-learn
Last synced: 01 Feb 2026
https://github.com/nits2612/data-science-projects
Portfolio of data science projects completed by me during PGP AI/ML, self learning, and hobby purposes.
data data-science dataanalysis deep deep-learning keras machine-learning matplotlib numpy opencv pandas python scikit-learn seaborn surprise-python tensorflow transfer-learning
Last synced: 01 Feb 2026
https://github.com/udacity-machinelearning-internship/more-spam-classifying
Implementing more spam classifying using Ensemble Methods in python
classification jupyter jupyter-notebook machine-learning pandas python scikit-learn sklearn
Last synced: 15 Apr 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/sarowarahmed/advertising-sales-app
📈 Advertising Sales Predictor: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to forecast sales based on TV, Newspaper, and Online Advertising. Deployed on Streamlit Cloud for real-time, easy-to-use predictions.
advertising app machine-learning multiple-linear-regression numpy pandas sales scikit-learn streamlit
Last synced: 07 Feb 2026
https://github.com/vladimiracunadev-create/python-data-science-program
Python Data Science Program — 197 clases en 9 partes. Pauta avanzada derivada de Géron, VanderPlas, Huyen, ISLP y Barocas/Hardt/Narayanan. Recurso personal de aprendizaje, enseñanza y mejora continua.
bootcamp data-analysis data-science education jupyter machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 01 Jun 2026
https://github.com/sharkb8t/credit-risk-classification
Demonstrates my abilities to use Jupyter Notebook with scikit-learn to train and evaluate a machine learning model.
jupyter-notebook numpy pandas pathlib python scikit-learn
Last synced: 15 Apr 2026
https://github.com/aerojam95/math70076-data-science-cw2
This repository presents the second coursework for the MATH70076 Data Science module at Imperial College London, where the project showcases different machine and deep learning models for image classification
data-science deep-learning machine-learning python3 pytorch scikit-learn
Last synced: 15 Apr 2026
https://github.com/danicaalana/wine-dataset-decision-tree
This project is developed as part of Digital Skill Fair (DSF) 35.0 - Data Science by Dibimbing. I am using Wine Recognition Dataset from scikit-learn, which is the results of a chemical analysis of wines grown in the same region in Italy by three different cultivators.
data data-analysis-python data-science decision-tree-classification machine-learning python scikit-learn wine-dataset
Last synced: 18 Apr 2026
https://github.com/max00358/sign_language_detection
A sign language detector that recognizes ASL(American Sign Language) alphabet
Last synced: 09 Feb 2026
https://github.com/sarowarahmed/predicting-kolkata-house-price
🏠 Predicting Kolkata House Price: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to predict house prices in Kolkata. Deployed on Streamlit Cloud for easy access and real-time predictions.
app kolkata linear-regression machine-learning numpy pandas scikit-learn streamlit
Last synced: 26 Feb 2026
https://github.com/codealphaprojects/spotify-music-recommender
CodeAlpha Machine Learning Task-1
jupyter-notebook machine-learning matplotlib numpy pandas pycharm-ide python scikit-learn spotify spotify-api streamlit vscode
Last synced: 09 Feb 2026
