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/njorogepaul-moghul/house-price-predictions-kaggle-competition-
Built a predictive model for the Kaggle House Prices competition using feature engineering and LightGBM, achieving strong leaderboard performance."
data-science house-price-prediction-with-lightgbm kaggle-competition lightgbm machine-learning predicting-home-values-using-machine-learning random-forest scikit-learn
Last synced: 15 May 2026
https://github.com/javedfazlulahf/customer-churn-prediction
š Predict customer churn in telecom using machine learning to enhance retention strategies and drive better business outcomes.
churn-prediction cross-validation data-science factorization-machines imbalanced-learn libsvm machine-learning model-evaluation pipelines plotly scikit-learn seaborn shap-values spark-ml survival-analysis tensorflow watson-studio xgboost4j
Last synced: 11 May 2026
https://github.com/inesruizblach/data-science-project
A data science project exploring Portuguese "Vinho Verde" wine quality prediction. Features EDA, feature engineering, ML models, and evaluation using Python, pandas, scikit-learn, and visualization tools.
binary-classification classification data-science exploratory-data-analysis feature-engineering imbalanced-learn jupyter-notebook machine-learning model-evaluation pandas regression scikit-learn seaborn uci-dataset wine-quality
Last synced: 09 May 2026
https://github.com/kianaabrisham/naive-bayes-sentiment
Sentiment classification using Multinomial NB (scratch + sklearn)
bag-of-words naive-bayes nlp scikit-learn sentiment-analysis text-classification
Last synced: 14 May 2026
https://github.com/dearabhin/girlfriend-predictor
Using machine learning to solve the ultimate college classification problem. A fun project applying Python and Logistic Regression to predict relationship outcomes based on a (hilariously) synthetic dataset. šā¤ļø
classification data-science fun-project google-colab jyputer-notebook jypyternotebook logistic-regression machine-learning pandas python scikit-learn
Last synced: 06 Oct 2025
https://github.com/harris-giki/e-comdataanalysis_ml
E-commerce Customer Analysis with Linear Regression: analyzes customer behavior within an e-commerce setting and predict yearly customer spending based on various features using a linear regression model.
development ecommerce linear-regression machine-learning model prediction-model python scikit-learn
Last synced: 14 Apr 2026
https://github.com/prarthana-singh/bangalore-house-price-predictor
š” Bangalore House Price Prediction ā A Machine Learning model to predict house prices in Bangalore using real estate data. Built with Linear Regression, Python, Pandas, NumPy, and Scikit-Learn.
data-analysis eda house-price-prediction linear-regression machine-learning numpy pandas python real-estate regression scikit-learn
Last synced: 19 Apr 2026
https://github.com/jyablonski/nba_elt_mlflow
ML Pipeline for NBA ELT Project
Last synced: 17 Jan 2026
https://github.com/alrafiabdullah/titanic-kaggle
gridsearch pandas random-forest scikit-learn titanic-kaggle
Last synced: 21 Jan 2026
https://github.com/madsondeluna/mvp_pucrio_data_analytics_and_machine_learning
MVP referente a sprint de Machine Learning & Analytics (40530010056_20250_01) da Pós-Graduação em Data Science and Analytics da PUC-Rio.
comparative-analysis data-analytics data-science machine-learning-algorithms postgraduate-course python pytorch scikit-learn
Last synced: 03 May 2026
https://github.com/workwithchaimaa/codealpha_diseaseprediction
Complete ML pipeline for binary classification to predict heart disease. Includes data preprocessing, model comparison (Logistic Regression, RF), hyperparameter tuning, and feature importance analysis.
classification heart-disease machine-learning python random-forest scikit-learn
Last synced: 08 Oct 2025
https://github.com/manjotkaurgill/agritech
Enter details of your soil and weather, and find best suitable crop for farming. With our advanced AI system, you can make informed decisions and optimize your agricultural practices.
flask generative-ai insight-generation machine-learning matplotlib mongodb nextjs numpy pandas python scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/greatepee/book-recommendation-system
Book Recommendation System
collaborative-filtering cosine-similarity evaluation-metrics k-precision kaggle kaggledatasets mae numpy pandas python scikit-learn scipy svd svd-matrix-factorisation
Last synced: 12 Mar 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/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 š
classification deep-learning machine-learning neural-nets python regression scikit-learn
Last synced: 09 May 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/alisonmitchell/titanic
Exploration of a subset of the Titanic passenger manifest to create a predictive classification model to determine which passengers were more likely to survive.
deep-learning keras machine-learning matplotlib numpy pandas python scikit-learn scipy seaborn tensorflow
Last synced: 14 Apr 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/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/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/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/stewartpark/sklearn2gem
ā” 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/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/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/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/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/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/ayorick23/python-data-science-cheat-sheet
GuĆa rĆ”pida y prĆ”ctica de sintaxis, comandos y funciones esenciales de Python para Ciencia de Datos. Perfecta para recordar cómo usar las librerĆas mĆ”s comunes como NumPy, Pandas, Matplotlib y Scikit-learn en tus anĆ”lisis 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/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/harris-giki/cancerdetectionmodel_ml
Simple Logistic Regression and Neural Network powered Machine Learning models that predicts whether a breast tumor is malignant or benign based on input features extracted from a breast cancer dataset.
cancer-detection development keras keras-tensorflow logistic-regression machine-learning neural-network scikit-learn streamlit tensorflow
Last synced: 13 Apr 2026
https://github.com/josancamon19/boston_housing
Predicting Boston Housing Prices for Udacity Machine Learning Nanodegree
boston-housing-price-prediction machine-learning machine-learning-nanodegree scikit-learn udacity
Last synced: 21 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/srilaasya/titanic-survival-prediction-using-knn-for-beginners
Titanic Survival Prediction using KNN for beginners
analysis knn-classification python scikit-learn titanic-survival-prediction visualization
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/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/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/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/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/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/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/allwin107/loan-prediction-web-app
A Flask-based loan prediction web app using a Random Forest model to predict loan approval based on user input. It includes a clean, responsive UI, form validation, and real-time prediction display.
classification data-processing deployment flask loan-prediction machine-learning python random-forest-classifier scikit-learn web-application
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/beatrizandradeds/sistema-recomendacao-filmes
š¬ 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/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 ā including Machine Learning, Deep Learning, and Computer Vision ā 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/arraypd/airflow-etl-elt
airflow duckdb elt etl matplotlib metabase ml numpy pandas postgresql python 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/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/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/legendarym4x/data_science
Data Science Course
jupyter-notebook keras matplotlib nltk numpy pandas scikit-learn spacy tensorflow
Last synced: 02 Feb 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/tungct/tngtclassifer
bayes-classifier python2 scikit-learn
Last synced: 15 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/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/sachinh123/cognitive-customer-insights-with-watson-ai
This project analyzes customer data to provide insights for personalized services, behavior prediction, and improved support.
flask ibm-cloud ibm-watson-assistant ibm-watson-nlu nltk python scikit-learn
Last synced: 10 Feb 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/nurulashraf/predictive-maintenance-analysis-for-machine-failure-prevention
Predictive maintenance analysis for machine failure prevention using sensor data and ML. Built a Random Forest model and Gradio dashboard to identify high-risk machines for proactive maintenance.
data-science failure-prediction gradio industrial-iot machine-learning power-bi predictive-maintenance python scikit-learn
Last synced: 16 Apr 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/arseniistratiuk/decision-tree-classifier-lab
A student lab project focused on tree algorithms and a Decision Tree classifier.
bellman-ford decision-tree-classifier floyd-warshall graph-algorithms kruskal-algorithm machine-learning networkx prim-algorithm scikit-learn
Last synced: 27 Feb 2026
https://github.com/mindkerchief/baselineml
A collection of machine learning task performed during my studies in computer science major in intelligent system.
decision-tree dummy gaussian-mixture-models kmeans-clustering linear-regression logistic-regression machine-learning matplotlib numpy pandas random-forest scikit-learn seaborn tensorflow
Last synced: 16 Apr 2026
https://github.com/selcia25/iris-dataset-classification
āThis repository contains a Python script for classifying the Iris dataset using the Random Forest algorithm.
data-processing iris-classification pandas random-forest-classifier scikit-learn
Last synced: 16 Apr 2026
https://github.com/s0fft/airline-passenger-satisfaction
Airline-Customer-Model ā Machine Learning Project on: Scikit-learn / Pandas / Matplotlib / Seaborn
jupyter-notebook mashine-learning matplotlib pandas python3 scikit-learn seaborn
Last synced: 12 Feb 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/gliuck/diabetesprediction
Machine learning exam project, focused on predicting diabetes based on health and demographic data. The project uses models like Logistic Regression, KNN, SVM and NN to analyze and predict the likelihood of diabetes in individuals.
machine-learning machine-learning-models numpy-library pandas-library prediction-model python scikit-learn
Last synced: 14 Feb 2026
https://github.com/chanmeng666/mnist-handwritten-digit-recognition-project
ćSprinkle some star dust on this repo! āļø It's good karma!ćA comprehensive implementation and analysis of handwritten digit recognition using multiple neural network architectures on the MNIST dataset. Features basic MLP, optimized feature-selected model, and deep CNN approaches with detailed performance comparisons and visualizations.
cnn computer-vision data-analysis data-visualization deep-learning feature-analysis handwritten-digit-recognition keras machine-learning mlp mnist model-optimization neural-networks python scikit-learn tensorflow
Last synced: 02 Apr 2026
https://github.com/hlexnc/project-arepo
Data-driven stroke risk assessment & personalized recommendations, powered by machine-learning and an NLU-driven chatbot.
chatbot data-analysis docker docker-compose machine-learning nlu-chatbot python rasa scikit-learn sklearn streamlit
Last synced: 15 Feb 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/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/sridharyadav07/machine-learning-project-combined-cycle-power-plant-
This project is focused on Multiple machine learning models, including Linear Regression, Decision Tree Regression, and Random Forest Regression, were implemented to predict the target variable and evaluated using various metrics like RMSE, MAE, and R-squared. The performance of these models was compared, and the Random Forest Regressor was found.
data-processing decisiontreeregressor linear-regression metrics-evaluation python random-forest-regressor scikit-learn
Last synced: 16 Apr 2026
https://github.com/ksasi/smartcab
machine-learning numpy pandas python reinforcement-learning scikit-learn
Last synced: 16 Apr 2026
https://github.com/pramodyasahan/health-insurance-cost-prediction
This project focuses on predicting health insurance costs using a polynomial regression model. By employing machine learning techniques in Python, the project aims to accurately estimate insurance costs based on various personal attributes. The model takes into account several features including age, sex, BMI, number of children, smoking status etc
machine-learning matplotlib numpy pandas python3 scikit-learn
Last synced: 16 Apr 2026
https://github.com/piotrwnuczek/cloudprediction
Predicting cloud task execution time using AI/ML
matplotlib pandas python scikit-learn
Last synced: 16 Apr 2026
https://github.com/pierluigi-failla/pipesnake
a pandas sklearn-inspired pipeline data processor
feature-engineering feature-extraction pandas pipeline pipeline-data-processor python scikit-learn
Last synced: 03 Mar 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/nitor-infotech-oss/aiml-data-processing
Data Processing Algorithms
aiml numpy pandas scikit-learn
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/shreeparab1890/indian-cricketer-classifier
This notebook is trying to bulia a model which will predict a Indian Cricketer based on the given image. In this project we have handled 8 Indian Cricketers and build a model to classify the given image between this 8 Cricketers.
image-classification matplotlib numpy opencv pandas python random-forest-classifier scikit-learn sklearn streamlit
Last synced: 01 Apr 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/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/danicc097/python-ml-app
Various [arguably useless] Machine Learning services with gRPC and OpenTelemetry for demo purposes
grpc-python opentelemetry scikit-learn
Last synced: 17 Apr 2026
https://github.com/amirmohammadgholampour/mall-customer-segmentation
Project for segmenting customers in a shopping mall using the Clustering algorithm.
numpy pandas python scikit-learn
Last synced: 02 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/orliluq/inmersion-datos-python
Desarrollar modelos de machine learning para predecir la probabilidad de incumplimiento crediticio de los clientes, utilizando diferentes algoritmos de clasificación (Regresión LogĆstica, Ćrboles de Decisión, Random Forest, Naive Bayes).
colab-notebook numpy pandas python scikit-learn
Last synced: 02 Apr 2026