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/bhavnanahar/coral_project
ChatGPT said: This project analyzes and predicts the health of coral reefs in the Florida Keys by examining coral cover and species richness trends over time.
colab-notebook matplotlib numpy pandas plotly python random-forest scikit-learn seabo
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/vishalgaud17/stroke
A simple Streamlit web app that predicts stroke risk based on user input features like age, BMI, glucose level, and lifestyle factors, using a pre-trained machine learning model.
machine-learning numpy pandas python scikit-learn streamlit
Last synced: 14 Apr 2026
https://github.com/shadmanshaikh/ml_algo_from_scratch
All standard machine learning algorithms from scratch in python 🐍
classification deep-learning machine-learning neural-nets python regression scikit-learn
Last synced: 09 May 2026
https://github.com/cinnaavox/loan-prediction
Machine Learning project predicting loan approvals using Decision Tree Classification. Includes data cleaning, feature engineering, model evaluation and key business insights.
decision-trees matplotlib numpy pandas python scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/divyajnanakshi-cloud/phishing-detector
This project presents a Phishing Detection System implemented as a Chrome Extension designed to help users determine whether a website is legitimate or malicious
chrome-extension css hashing-algorithm html javascript python qr-code-processing random-forest scikit-learn steganography
Last synced: 14 Apr 2026
https://github.com/sharvesh1401/battsense
BattSense is a machine learning project focused on predicting the State of Health (SOH) of lithium-ion batteries using operational parameters such as voltage, current, temperature, and capacity. The model enables accurate, data-driven diagnostics for battery performance monitoring in electric vehicles and portable devices.
battery-diagnostics battery-health battery-health-prediction battery-soh data-analysis electric-vehicles energy-storage machine-learning predictive-maintenance python regression scikit-learn
Last synced: 07 May 2026
https://github.com/nicknobad/binaryimageclassification
Benchmark of sci-kit learn models and a tensorflow model for Binary Image Classification
binaryclassification image-classification scikit-learn scikit-model scikitlearn-machine-learning tensorflow tensorflow-examples tensorflow-experiments tensorflow-models
Last synced: 21 Jan 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/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/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/fairlytales/machine_learning
Workbooks for machine learning and neural network courses, textbooks, etc.
jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy opencv opencv-python pandas python pytorch scikit-learn scipy
Last synced: 14 Apr 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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/jofaval/sonar
Binary Classification of Sonar Signals of Rocks and Metal cylinders in 1987
data-analysis data-science data-visualization machine-learning python scikit-learn sonar uci
Last synced: 09 Apr 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/mohammad95labbaf/churn-prediction
This project aims to predict customer churn using machine learning algorithms. The project includes data preprocessing, feature engineering, and model evaluation.
adaboost bagging churn churn-analysis churn-prediction decisiontree ensemble-learning knn randomforest scikit-learn sklearn svm voting
Last synced: 23 Jan 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/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/nordszamora/ds-ml-projects
My repository for Data Science & Machine Learning projects.
data-analysis data-science data-visualization jupyter-notebook kaggle machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 15 Apr 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/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/shahaba83/airplane-ticket-cancellation
In this project, we try to predict the possibility of canceling the plane ticket by the buyer
datatime numpy pandas python scikit-learn seaborn
Last synced: 25 Feb 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/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/nathan-lindstedt/student_risk
Student Success Model (SSM)
fairlearn machine-learning scikit-learn shap student-risk xgboost
Last synced: 30 Jan 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/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/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/rooshmica/concrete-compressive-strength-prediction
Concrete Dataset for Regression Model training
linear-regression machine-learning polynomial-regression python rmse-score 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/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/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/danicaalana/wine-dataset-decision-tree
This project is developed as part of Digital Skill Fair (DSF) 35.0 - Data Science by Dibimbing. I am using Wine Recognition Dataset from scikit-learn, which is the results of a chemical analysis of wines grown in the same region in Italy by three different cultivators.
data data-analysis-python data-science decision-tree-classification machine-learning python scikit-learn wine-dataset
Last synced: 18 Apr 2026
https://github.com/sarowarahmed/predicting-kolkata-house-price
🏠 Predicting Kolkata House Price: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to predict house prices in Kolkata. Deployed on Streamlit Cloud for easy access and real-time predictions.
app kolkata linear-regression machine-learning numpy pandas scikit-learn streamlit
Last synced: 26 Feb 2026
https://github.com/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
https://github.com/brossend/automl_bank_project
Automated ML pipeline for the UCI Bank Marketing dataset: ETL, Optuna-based AutoML, model evaluation, MLflow logging, pytest tests, Docker, and CI/CD.
automl bank-marketing binary-classification ci-cd classification data-science docker docker-compose etl github-actions gitlab-ci machine-learning ml-pipeline mlflow model-monitoring optuna pytest python scikit-learn uci-dataset
Last synced: 02 Jun 2026
https://github.com/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/codedby-mozz/habits_vs_academic_performance
This repository contains a Jupyter Notebook that explores the relationship between student lifestyle habits and academic performance. It demonstrates the process of data loading, exploratory data analysis (EDA), correlation analysis, and the development of a predictive model using linear regression to predict exam scores based on daily habits.
linear-regression python scikit-learn
Last synced: 16 Apr 2026
https://github.com/mattia-hulathduwage/wine-quality-analyzer
A machine learning project that analyzes wine quality using clustering, regression, and classification techniques. The model predicts wine quality scores based on chemical properties and determines the most influential features affecting quality.
machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 16 Apr 2026
https://github.com/smuralee/machine-learning-samples
Machine learning samples
Last synced: 15 Feb 2026
https://github.com/pranav-nagpure/plant-disease-prediction-nb
IPython Notebook to build the model for Plant Disease Prediction
efficientnet image-augmentation ipython-notebook keras-tensorflow machine-learning scikit-learn
Last synced: 15 Feb 2026
https://github.com/ramezze/virtualmouse-handtracking
A python application to control mouse functions using hand gestures leveraging MediaPipe, OpenCV and Tensorflow.
computer-vision handtracking handtrackingmodule kivy machine-learning mediapipe mediapipe-hands mouse multilayer-perceptron neural-network python scikit-learn scipy tensorflow virtualmouse webcam webcam-capture
Last synced: 15 Feb 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/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/leftcoastnerdgirl/supervised_learning
This project demonstrates supervised machine learning using scikit-learn.
classification-reports confusion-matrix jupyter-notebook numpy pandas-python pathlib scikit-learn sklearn
Last synced: 16 Apr 2026
https://github.com/drorata/mnist-examples
ML examples for the MNIST dataset
machine-learning ml mnist python scikit-learn torch
Last synced: 19 Apr 2026
https://github.com/junya737/weighted-pls-regression
A Python implementation of Weighted Partial Least Squares Regression with support for sample weights.
machine-learning partial-least-squares-regression scikit-learn
Last synced: 17 Apr 2026
https://github.com/anshvaid4/ml_practice
This is the new repository, where I have added all the notebooks demonstrating the usage of various transformers and models for Supervised and Unsupervised algorithms
anaconda jupyter-notebook machine-learning machine-learning-algorithms python scikit-learn
Last synced: 17 Apr 2026
https://github.com/felixamaladhas/amazon-reviews-sentiment-analysis
This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.
matplotlib numpy pandas python scikit-learn
Last synced: 02 Apr 2026
https://github.com/otuemre/obesity-classification
Machine learning project to classify obesity levels based on health metrics like age, sex, height, weight, and BMI.
classification data-science healthcare machine-learning obesity-classification scikit-learn
Last synced: 17 Apr 2026
https://github.com/ngangawairimu/linear-regression-
This project builds a linear regression model in Python to predict outcomes and derive insights from feature data. It covers data cleaning, feature analysis, and model evaluation, showcasing predictive modeling techniques using scikit-learn, pandas, and visualization libraries.
data-analysis linear-regression machine-learning predictive-modeling python scikit-learn
Last synced: 17 Apr 2026
