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: 2026-07-02 00:27:34 UTC
- JSON Representation
https://github.com/abidhasanrafi/pharma-sales-analytics
A Streamlit-powered web application for analyzing pharmaceutical sales performance across teams, products, and territories.
matplotlib numpy pandas plotly sales-analysis scikit-learn seaborn streamlit
Last synced: 08 Apr 2026
https://github.com/dwija12903/password-strength-checker
A Model to evaluate the strength of passwords and enhance security for your applications.
matplotlib pandas scikit-learn seaborn xgboost
Last synced: 02 Jan 2026
https://github.com/jenil311/application-of-covid-19-spread-analysis
The objective of this project is to study the COVID-19 outbreak using basic statistical techniques and make short term predictions using ML regression methods.
covid19-tracker machine-learning regression-analysis regression-models ridge-regression scikit-learn
Last synced: 02 Jan 2026
https://github.com/zenklinov/regression_logistic_-_sentiment_analysis
This project demonstrates sentiment analysis, model based on movie review data using Logistic Regression. The model predicts whether a review expresses positive or negative sentiment based on the text provided. The application on #PepGuardiola from Twitter (X).
natural-language-processing nlp nltk scikit-learn sentiment-analysis
Last synced: 03 May 2026
https://github.com/mhmudfzli/loan-approval-prediction
This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance
automl catboost numpy pandas python scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/anas436/loan-case-will-be-paid-off-or-not-prediction-using-classification-with-python
decision-trees f1-score ibm-watson itertools jaccard-score knearest-neighbor-algorithm log-loss logistic-regression matplotlib-pyplot numpy pandas python3 scikit-learn sklearn support-vector-machines
Last synced: 08 Apr 2026
https://github.com/lorenzorottigni/ml-yelp-reviews
Machine Learning python bootcamp: natural language processing on Yelp reviews
machine-learning nlp numpy pandas python scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/lren-chuv/sklearn_to_pfa
Convert Scikit Learn models to PFA
Last synced: 21 May 2026
https://github.com/abhishekbagdiya01/movies-recommendation-system
This repository contains the code for a movie recommendation system built using Jupyter Notebook.
aiml jupyter-notebook numpy pandas python scikit-learn
Last synced: 08 Apr 2026
https://github.com/wlopezm-unal/titanic_ship-streamlit
Machine Learning model, where using titanic ship data and see if is be able to predict if a passager was salved or died. This apply use Machien learning (Random Forest, gassianNB and Logistic Regressión) . Further, using streamlit together to FastApi be able to see the predict result
docker machine-learning optuna scikit-learn streamlit supervised-machine-learning
Last synced: 25 Feb 2025
https://github.com/bjornmelin/ml-algorithm-playground
🧪 Core ML algorithm implementations with GPU acceleration. Featuring optimized implementations across various libraries with comprehensive analysis. 📈
algorithms cuda gpu-computing lightgbm machine-learning python scikit-learn xgboost
Last synced: 13 May 2026
https://github.com/itaxbox/loan-eligibility-prediction
Loan Eligibility Prediction using Decision Tree
decision-trees jupyter-notebook matplotlib pandas python scikit-learn
Last synced: 17 Jun 2025
https://github.com/raduldev/ann-classification-churn
ANN based classifiacation model
onehot-encoding python3 scikit-learn streamlit tensorflow
Last synced: 02 Jan 2026
https://github.com/rtahmasbi/applications_tempalete
Templates for different applications
java latex linux pearl python r scikit-learn shell-script tensorflow
Last synced: 12 Apr 2026
https://github.com/akankshaaa013/practice-machine-learning-projects
A ML repository that contains several practice notebooks of different Machine Learning Algorithm such as Multiple Linear Regression, KNN Classification, SVM, etc.
classification machine-learning-algorithms regression-algorithms scikit-learn
Last synced: 21 May 2026
https://github.com/sreekar0101/-movie-recommendation-system-using-python
The Movie Recommendation System is designed to suggest personalized movie recommendations by analyzing extensive datasets containing movie details and credits.ultilizes python libraries numpy pandas and scikit learn.The system achieved a 15% improvement in accuracy compared to the baseline model by identifying key factors that influence user choice
data-analysis data-visualization numpy-library pandas-dataframe scikit-learn seaborn-python
Last synced: 02 Jan 2026
https://github.com/douglaside/airlinedelay
[✍🏻Learn] Project aimed at analyzing flight delays, using Python algorithms and machine learning techniques to aid decision-making and identify patterns.
ai alura boxplot data-science graphics histogram machine-learning machine-learning-algorithms pandas python scikit-learn static
Last synced: 28 Jun 2025
https://github.com/achronus/data-exploration
A repository dedicated to interesting data exploration projects I've completed
data-analysis exploratory-data-analysis machine-learning matplotlib pandas python scikit-learn seaborn
Last synced: 02 Jan 2026
https://github.com/miguellopezvirues/azure_keyword_cpc
Development and deployment of simple regression model in Azure Machine Learning.
azureml deplyment machine-learning mlflow pandas scikit-learn
Last synced: 09 May 2026
https://github.com/hawkharsh1/house-price-pridiction-model-using-ann
A deep learning-based regression model built using Artificial Neural Networks (ANN) in PyTorch to predict house prices from structured data. This project demonstrates the application of machine learning and deep learning techniques for solving real-world problems in the housing domain.
artificial-neural-networks deep-neural-networks machine-learning numpy pandas python3 pytorch scikit-learn
Last synced: 08 Apr 2026
https://github.com/dwija12903/mentorness-internship
Developed and applied technical skills in areas such as programming languages, data analysis, and machine learning methodologies.
matplotlib numpy pandas python scikit-learn
Last synced: 08 Apr 2026
https://github.com/chawthinn/car-price-prediction-regression-ml
This project predicts used car prices using regression models including Linear, Ridge, Random Forest, XGBoost, and LightGBM. It covers preprocessing, EDA, model evaluation, hyperparameter tuning, and model persistence using Scikit-learn and related libraries.
car-price-prediction lgbmregressor linearregression numpy pandas python scikit-learn xgbregressor
Last synced: 08 Apr 2026
https://github.com/giatraskon/machine_learning_assignments
Machine learning assignments covering regression, classification, neural networks, adversarial examples, and real-time emotion detection using Python. Includes theoretical insights and practical implementations.
adversarial-examples bayesian-inference bias-variance-tradeoff cifar10 classification deep-learning emotion-recognition iris-dataset k-nearest-neighbours keras machine-learning mnist neural-networks opencv pima-indians-diabetes python regression ridge-regression scikit-learn tensorflow
Last synced: 08 Apr 2026
https://github.com/roovedot/house-price-predictions-with-random-forest-regression-model
Applying Machine Learning Regression Model to Predict Housing Prices for Kaggle "Housing Prices Competition for Kaggle Learn Users".
machine-learning pandas random-forest-regression scikit-learn
Last synced: 03 May 2026
https://github.com/haydencordeiro/terafeed
Terafeed - Addressing Zero Hunger in Africa (Sustainability Goal SDG 2)
javscript numpy pandas powerbi python scikit-learn tableau vuejs
Last synced: 08 Apr 2026
https://github.com/ghulammuhayyudin1003/Email-Spam-Detector
ML-powered email spam detector with TF-IDF, Random Forest & OCR for image-based spam. Built on published research (EJASET 2025). Live on Streamlit Cloud.
email-classification email-spam-detection machine-learning nlp ocr scikit-learn streamlit streamlit-webapp tesseract tfidf
Last synced: 22 May 2026
https://github.com/analitico-771/machine_learning_trading_bot
This is an Application that implements an algorithmic trading strategy that uses machine learning to automate the trade decisions
financial-analysis hvplot logistic-regression machine-learning moving-average pandas-dataframe predictive-modeling python scikit-learn stock-price-prediction support-vector-machine
Last synced: 08 Apr 2026
https://github.com/thekartikeyamishra/predictive-sales-analytics
The Predictive Sales Analytics tool aims to help MSMEs forecast future sales using historical data. This advanced version leverages Machine Learning for accurate predictions and provides a dashboard to visualize sales trends, seasonality, and predictions.
joblib machine-learning matplotlib pandas python scikit-learn streamlit
Last synced: 08 Apr 2026
https://github.com/rakibhhridoy/visualmachinelearning-yellowbrick
Yellowbrick wraps the scikit-learn and matplotlib to create publication-ready figures and interactive data explorations. It is a diagnostic visualization platform for machine learning that allows us to steer the model selection process by helping to evaluate the performance, stability, and predictive value of our models and further assist in diagnosing the problems in our workflow.
classification hyperparameter-tuning machine-learning model-evaluation model-view-presenter model-visualization python random-forest random-forest-classifier scikit-learn visualization xgboost xgboost-algorithm yellowbrick
Last synced: 03 May 2026
https://github.com/rakibhhridoy/breastcanceranalysis-classificationclustering
Breast cancer prediction both in classification and clustering method for better understanding the data. Though clustering is different from classification,to finding the key aspect the data have,sometimes we need every possible way to catch behavior of the data.
breast-cancer-prediction breastcancer-classification classification classification-algorithm clustering eda hyperparameter-optimization machine-learning python scikit-learn supervised-learning unsupervised-learning
Last synced: 14 Apr 2026
https://github.com/leosolar8/predictive-healthcare-patient-analytics-modeling
Predicting patient outcomes is a crucial task in healthcare that can have a significant impact on improving patient care.
ai-in-healthcare clinical-decision-support-system data-visualization healthcare-analysis machine-learning medical-ai predictive-modeling scikit-learn streamlit tensorflow
Last synced: 08 Apr 2026
https://github.com/paragon279/cancercellclassificationbyscikitlearn
Classifies cancer cell using Scikit-learn
machine-learning python scikit-learn
Last synced: 22 May 2026
https://github.com/aysh2603/twitter-sentiment-analysis
The Twitter Sentiment Analysis project employs Natural Language Processing (NLP) techniques to classify tweets into positive or negative sentiments. By analyzing the tone of tweets, this project provides insights into public sentiment on various topics.
hyperparameter-tuning nlp-machine-learning numpy pandas python3 scikit-learn
Last synced: 13 Jul 2025
https://github.com/leosolar8/mental-health-tech-ai-survey
Mental Health in Tech Survey Analysis — Applied K-means clustering, PCA, and Chi-square tests on tech industry survey data to uncover patterns between remote work practices and mental health consequences, with visualizations of key trends.
clustering data-science kmeans machine-learning mental-health pca python-project scikit-learn seaborn survey-analysis tech-industry visualization
Last synced: 08 Apr 2026
https://github.com/sanjana-bongale/cancer_survival_data_analysis_and_prediction_using_logistic_regression
This project performs data analysis using Python to predict cancer patient survival outcomes. It involves data cleaning, exploratory analysis, and visualizations to explore factors like cancer type, stage, and treatments. A logistic regression model is built to predict patient survival based on demographic and medical data.
data-analysis data-cleaning data-science data-visualization eda jupyter-notebook kaggle logistic-regression machine-learning matplotlib numpy pandas predictive-modeling python scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/abdullahkhurshid/lung-cancer-prediction
Exploring predictive machine learning for cancer prevention
data-visualisation keras-neural-networks machinelearning matplotlib numpy pandas python scikit-learn seaborn seaborn-python
Last synced: 08 Apr 2026
https://github.com/daniel-furman/recfeatureselect
Feature selection functions (1) using the multi-collinearity matrix and recursively proceeding to a spearman threshold and (2) using Forward Stepwise Selection running on an ensemble sklearner (with options for HPO).
correlation-threshold machine-learning modeling multicollinearity recursion recursive-algorithm scikit-learn spearman-rho
Last synced: 03 Jan 2026
https://github.com/myself-aas/predict-influence-of-social-media-and-other-socio-demographic-factors-on-study-duration
'The Study Duration Prediction Web App' uses machine learning to predict student study time based on factors like GPA, family background, social media engagement, and personal influences. Built with Flask and scikit-learn, it offers personalized insights into how lifestyle choices affect academic performance and study habits.
flask-application machine-learning machine-learning-algorithms prediction-model python scikit-learn scikitlearn-machine-learning webapp
Last synced: 23 Jul 2025
https://github.com/tabotcharlesbessong/python-errors
This repository will contain all python errors i will encounter in my life as a python plus their solutions
matplotlib-animation matplotlib-pyplot numpy pandas python-script python3 scikit-learn seaborn
Last synced: 16 Apr 2026
https://github.com/easonlai/decision-tree-sample
Azure Databricks notebook sample to visualize and display Decision Tree model
azure azuredatabricks databricks decision-tree decision-trees graphviz graphviz-dot graphviz-viewer jupyter-notebook matplotlib matplotlib-pyplot notebook scikit-learn
Last synced: 05 May 2026
https://github.com/tomas542/dl_examples
Examples of Machine Learning, Deep Learning, Natural Language Processing and so on
computer-vision cv deep-learning dl keras machine-learning ml natural-language-processing nlp numpy python pytorch scikit-learn
Last synced: 08 Apr 2026
https://github.com/notshrirang/m2connex
M2ConneX is an all-encompassing platform specifically crafted for MMCOE alumni, enabling seamless communication, networking, and collaboration. It provides tailored recommendations for connections, posts, and job opportunities based on each user's unique skills and experience.
django django-rest-framework scikit-learn
Last synced: 28 Jun 2025
https://github.com/colinwu0403/weatherpredictor
ML model that predicts future weather temperatures. Dataset taken from NOAA's Climate Data Online
Last synced: 02 May 2026
https://github.com/gmork2/covid-19
A mathematical analysis of the infection growth
coronavirus covid-19 jupyter-notebook numpy pandas python scikit-learn
Last synced: 08 Apr 2026
https://github.com/beolawork-art/novabank-churn-analysis
NovaBank has noticed that customers are closing accounts or going inactive, and they want to understand why.
data-analysis data-science-projects data-visualization eda machine-learning numpy pandas python scikit-learn sql
Last synced: 08 Apr 2026
https://github.com/lorenzorottigni/ml-lending-club
Machine Learning python bootcamp: random forest classifier on LendingClub dataset
ipynb machine-learning numpy pandas python random-forest-classifier scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/thedatatenno/churn-prediction
A machine learning project to predict customer churn using classification models with SMOTE and hyperparameter tuning."
accuracy-score churn-prediction classification confusion-matrix data-science f1-score gridsearchcv knn-classifier logistic-regression machine-learning matplotlib portfolio-project python random-forest scikit-learn seaborn smote telecom xgboost-classifier
Last synced: 22 Aug 2025
https://github.com/shahbazshaddy/explainable-multimodal-ai-for-breast-cancer-and-pneumonia-prediction
A deep learning-based framework integrating explainable multimodal AI for accurate prediction and transparent diagnosis of breast cancer and pneumonia.
deep-learning explainable-ai grad-cam groq-api llm machine-learning matplotlib multimodal numpy pandas python pytorch scikit-learn seaborn streamlit
Last synced: 08 Apr 2026
https://github.com/vladstudennikov/diabetes-prediction-app
ML-powered web app built with Laravel and Vue.js to predict diabetes risk based on users' daily habits and behavior
cypress data-analysis diabetes-prediction fastapi inertiajs laravel matplotlib medicine ml pandas php scikit-learn seaborn vuejs
Last synced: 08 Apr 2026
https://github.com/ashrw/handwritten_digit_recognizer
A handwritten digit recognition system using Python and Scikit-learn to preprocess images and classify digits with a trained SVM model.
Last synced: 03 Jan 2026
https://github.com/jhylin/ml1-1_small_mols_in_chembl
Polars dataframe library and logistic regression in scikit-learn (update)
logistic-regression machine-learning parquet-files polars-dataframe scikit-learn
Last synced: 03 Jan 2026
https://github.com/andrewsy1004/mask-detection
Mask detection system capable of identifying individuals with or without masks
kaggle keras python scikit-learn tensorflow
Last synced: 08 Apr 2026
https://github.com/hariprasath-v/machinehack_analytics_olympiad_2023
Create a machine learning model to determine the likelihood of a customer defaulting on a loan based on credit history, payment behavior, and account details.
binaryclassification catboost exploratory-data-analysis machine-learning numpy pandas python scikit-learn shap
Last synced: 08 Apr 2026
https://github.com/priyanshulathi/cancer-diagnosis-prediction-model
A Machine Learning project to predict cancer malignancy using K-Nearest Neighbor, Support Vector Machine, and Decision Tree algorithms.
machine-learning numpy pandas python scikit-learn
Last synced: 03 Jan 2026
https://github.com/rinuya/ml-cancer-diagnosis
Binary classficiation using MLP & Random Forest
ml mlp random-forest scikit-learn
Last synced: 03 Jan 2026
https://github.com/barraharrison/seoul-bike-sharing
Performing EDA on a kaggle dataset to look at the distribution of Seoul's bike-sharing system
jupyterlab matplotlib numpy pandas python scikit-learn seaborn
Last synced: 23 Jul 2025
https://github.com/ledsouza/deep-learning-noticias
Este projeto visa construir dois modelos de Machine Learning: um para classificar notícias em diferentes categorias e outro para realizar o autocomplete de texto, prevendo a próxima palavra em uma frase. O conjunto de dados fornecido consiste em notícias de um site de notícias, já pré-processadas e armazenadas em um arquivo CSV.
deep-learning keras machine-learning python scikit-learn tensorflow
Last synced: 08 Mar 2026
https://github.com/alphacrypto246/insurance-charges-prediction
The Predicting Insurance Charges project uses Decision Tree Regression to predict insurance charges based on features like age, sex, BMI, and smoking habits. It involves data preprocessing, feature scaling, and model evaluation with metrics like MAE and R².
machine-learning numpy pandas scikit-learn scikitlearn-machine-learning
Last synced: 03 May 2026
https://github.com/radoslawregula/geo-music-classification
Jupyter notebook implementing a classification solution to the geographical origins of music problem.
classification jupyter-notebook machine-learning pandas python random-forest-classifier scikit-learn
Last synced: 17 Apr 2026
https://github.com/eljandoubi/disasterresponsepipeline
Project aim is to build a Natural Language Processing (NLP) model to categorize messages on a real time basis.
flask nltk numpy pandas plotly scikit-learn scipy sqlalchemy
Last synced: 09 Apr 2026
https://github.com/armahdavi/data_pipeline_analytics_statistics_ML_PM_PSD_residential_QFF
Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782
data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics
Last synced: 17 Sep 2025
https://github.com/priyankapriyadarshini50/autos_data_analysis
Data Analysis of auto dataset
matplotlib numpy pandas psycopg2 scikit-learn scipy seaborn
Last synced: 09 Apr 2026
https://github.com/sanjurajveer/stock_price_prediction
App to predict 10 days price of stocks
keras lstm pandas python scikit-learn streamlit-webapp tensorflow yfinance
Last synced: 09 Apr 2026
https://github.com/riyajain255/customer-segmentation-for-e-commerce
This project analyzes online retail data to segment customers using K-Means clustering and build classification models to predict those segments based on purchasing behavior.
customer-segmentation data-analysis kmeans-clustering logistic-regression machine-learning matplotlib numpy pandas python random-forest scikit-learn seaborn-plots
Last synced: 02 Apr 2026
https://github.com/zakintaliban/indonesia-train-passenger-forecasting
A project to analyze and forecast train passenger numbers in Indonesia using Python, Pandas, and Scikit-learn.
bps data-analysis data-science dataanalysis datascience forecasting indonesia kereta-api machine-learning machinelearning numpy pandas python scikit-learn scikitlearn seaborn time-series
Last synced: 29 Apr 2026
https://github.com/rohanbanerjee1234567-cell/prediction-of-expected-salary-using-machine-learning
Here is my first Project Repository where I have made a Machine Learning Project using Python. The Problem statement was to train a model based on the given Dataset and from there we need to Predict the Expected Salary of an Employee who will have similar profiles.
exploratory-data-analysis linearregression matplotlib-pyplot numpy pandas randomforest randomforestregressor scikit-learn scikitlearn-machine-learning searborn visualization
Last synced: 27 Apr 2026
https://github.com/rajan-bhateja/machine-learning-with-python
Machine learning algorithms implemented using Scikit-learn
classification clustering machine-learning regression scikit-learn sklearn
Last synced: 17 May 2026
https://github.com/sabbadini10/job4you
Job4You is an AI-powered job application assistant that streamlines the entire application process. Built on Angular and Firebase with GPT-4 integration.
angular api ats-optimization cover-letter email-automation firebase jobforall openai-api python resume-builder scikit-learn sheraz sherazhussain sherazhussain546
Last synced: 04 Mar 2026
https://github.com/jpcadena/cancer-classification
Breast cancer classification project.
cancer-detection classification data-analysis data-science deep-learning imblearn machine-learning neuronal-network numpy pandas pylint python scikit-learn supervised-learning tensorflow
Last synced: 09 Apr 2026
https://github.com/rarawe/taskly
A public repository for taskly
celery flutter-app hacktoberfest numpy pandas pydata queue queue-workers queued-jobs redis redis-queue scikit-learn scipy task-runner
Last synced: 09 Apr 2026
https://github.com/jofaval/ionosphere
Binary Classification of Ionosphere signals at Goose Bay, Labrador in 1988
data-analysis data-science data-visualization deep-learning google-colab keras machine-learning python scikit-learn tensorflow uci xgboost
Last synced: 09 Apr 2026
https://github.com/jain1shh/solar-flare-prediction
This repository contains code and data for predicting solar flare energy ranges using machine learning, based on NASA's RHESSI mission data. It includes preprocessing of FITS files into a unified CSV dataset and implements models like Gradient Boosting, Random Forest, and Decision Tree classifiers, achieving accuracies up to 87%.
data-visualization machine-learning numpy pandas python scikit-learn solar-flare-prediction
Last synced: 09 Apr 2026
https://github.com/dhanraj-parigi/diabetes_prediction_app
🩺 A simple and interactive web app that predicts diabetes using 🧠 machine learning. 🚀 Built with Python, Streamlit, and the 🧮 Pima Indians Diabetes dataset.
ai-in-healthcare classification data-science diabetes-prediction health-check healthcare-ai jupyter-notebook machine-learning ml-project pandas python random-forest scikit-learn streamlit
Last synced: 09 Apr 2026
https://github.com/mirzaazwad/tymbert
TYMBert is our submission for NCIM 2025, a spam classifier that makes use of knowledge distillation to compress the model while preserving accuracy
bert huggingface-transformers knowledge-distillation machine-learning matplotlib numpy pandas python3 scikit-learn tiny-bert torch
Last synced: 09 Apr 2026
https://github.com/shafaq-aslam/predicting-heart-disease-risk-with-logistic-regression-techniques
Develop a predictive model using logistic regression techniques to assess heart disease risk based on patient health metrics and data analysis.
data-analysis heart-disease logistic-regression machine-learning machine-learning-models matplotlib numpy pandas python scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/stefagnone/text_adventure_game
A text-based adventure game project using Python fundamentals
matplotlib numpy pandas python r scikit-learn seaborn sql
Last synced: 09 Apr 2026
https://github.com/shauryashaurya/marty_mcfly
Code, text and notebooks on a tutorial for Introduction to Machine Learning using open sources
anaconda jupyter-notebooks machine-learning machine-learning-tutorials notebook numpy python regression scikit-learn scipy tutorial
Last synced: 09 Apr 2026
https://github.com/kishanlalchoudhary/be-sem-8
BE SEM 8 Assignments
cpp deep-learning hpc keras matplotlib numpy openmp pandas scikit-learn seaborn tensorflow
Last synced: 28 Jul 2025
https://github.com/rajan-bhateja/Machine-Learning-with-Python
ML/DL projects done using sklearn and TensorFlow
machine-learning scikit-learn sklearn
Last synced: 28 Jul 2025
https://github.com/ajxxxs/spotify-music-analysis
spotify Music (web scraped playlists ) analysis (over 3 states) , trends, features and a music recommendation system.
matplotlib numpy panda scikit-learn seaborn
Last synced: 28 Jul 2025
https://github.com/anuranjanjain/cardioguide
This is the project that I created for DSN 2 at VIT , As its name suggests it will help you to check for any abnormalities with your heart by giving the "Heart Risk Assessment"
chartjs chatbot flask-application mlmodel pandas pickle python rest-api scikit-learn
Last synced: 20 Jan 2026
https://github.com/rafay-imraan/email-spam-filtering
Machine learning models that filter spam emails from a dataset downloaded from kaggle.com.
machine-learning ml pandas python scikit-learn xgboost
Last synced: 20 Jan 2026
https://github.com/itsadiz/iris_classification
Iris Classification Using Machine Learning - FYP
iris-classification iris-dataset logistic-regression machine-learning python scikit-learn streamlit
Last synced: 09 May 2026
https://github.com/iamjuniorb/d499-supervised-learning
This class for machine Learning presents the end-to-end process of investigating data through a machine learning lens.
machine-learning project python python3 scikit-learn scikit-learn-python scikitlearn-machine-learning supervised-learning supervised-machine-learning
Last synced: 16 May 2026
https://github.com/kavyachouhan/fake-news-detection-dravidian-language
This repository contains the code and resources for a machine learning project focused on detecting fake news in the Malayalam language, developed as part of the IITM-PAN BS AI-ML Challenge.
jupyter-notebook machine-learning numy pandas python scikit-learn
Last synced: 08 Feb 2026
https://github.com/antrita/stroke_prediction_model
A model that combines Kaggle's Stroke Prediction Dataset with live weather/air quality data to implement FDA-compliant MLOps pipeline and shows expertise in healthcare regulations and real-time inference.
ai data-analysis deep-learning kaggle-dataset machine-learning prediction-model random-forest real-time scikit-learn streamlit weather-api xgboost
Last synced: 07 May 2026
https://github.com/nathadriele/transaction_fraud_prevention_pipeline
Uma solução de detecção e prevenção de fraudes em transações financeiras, combinando Machine Learning, regras de negócio e análises estatísticas avançadas. O sistema oferece um dashboard interativo para monitoramento em tempo real, análise de dados e gestão de alertas de fraude.
data-analysis data-visualization docker fraud-prevention machine-learning matplotlib numpy pandas pipeline pytest python scikit-learn scipy seaborn streamlit tensorflow transaction xgboost
Last synced: 10 Apr 2026
https://github.com/carloscdias/movie-review-sentiment-analysis
Sentiment analysis and classification on IMDB movie reviews
decision-trees knn-classification neural-networks pandas presentation presentation-materials python3 scikit-learn sentiment-analysis svm-classifier
Last synced: 30 Jul 2025
https://github.com/080bct12alex/nepalestate
A real estate price prediction web app using machine learning, Next.js and Flask
flask-api mlp-regresor nextjs scikit-learn
Last synced: 31 Jul 2025
https://github.com/lanhhoang/toronto-bicycle-thefts-classifier
A predictive service using Toronto Police Open Data to provide a classification of either the bike is likely to be returned or not
clustering decision-trees flask logistic-regression machine-learning python scikit-learn streamlit
Last synced: 04 May 2026
https://github.com/bgmp/svm
Support Vector Machine implementation written in Python
Last synced: 31 Jul 2025
https://github.com/vigneshvaranasi/breast_cancer_detection
This project employs machine learning, focusing on Logistic Regression, to detect breast cancer using tumor-related features. The dataset is preprocessed, and the model achieves 100% accuracy on the test set. The goal is to gain insights into breast cancer factors and provide an effective detection solution.
jupyter machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 09 Apr 2026
https://github.com/sridharyadav07/machine-learning-project-bankruptcy-prevention-
The project explores multiple machine learning algorithms and evaluates their performance using various metrics, such as accuracy and confusion matrices. The models tested include Logistic Regression, K-Nearest Neighbors (KNN), Naive Bayes, and Support Vector Machine (SVM). In addition, regularization techniques (L1, L2) are used to avoid overfit.
data-preprocessing evaluation machine-learning-models matplotlib-pyplot modelbuilding modeldeployment numpy pandas python scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/celineboutinon/chicken-run
OpenClassrooms Data Analyst 2022-2023 - Projet 9
data-analysis data-analytics data-visualisation dataframes matplotlib-pyplot missingno numpy pandas plotly python scikit-learn scipy seaborn statsmodels
Last synced: 09 Apr 2026
https://github.com/apal21/tensorflow-pima-indians-dataset-classification
Pima Indians Dataset classification using Tensorflow Linear Classifier and DNN Classifier.
classification deep-neural-networks kaggle linear-classifier pandas pima-indians-dataset scikit-learn tensorflow
Last synced: 09 Apr 2026
https://github.com/presizhai/iris-predictor-fastapi
A web application for predicting the species of Iris flowers using a machine learning model trained with the Iris dataset, with FastAPI, a modern web framework for building APIs.
essemblelearning fastapi python random-forest-classifier scikit-learn uvicorn
Last synced: 25 Dec 2025
