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/daniel207pzd/google-advanced-data-analytics-capstone-project-salifort-motors
data-analysis-python data-analytics exploratory-data-analysis google-advanced-data-analytics google-advanced-data-analytics-capstone jupyter-notebook matplotlib numpy pandas python random-forest scikit-learn scikitlearn-machine-learning seaborn xgboost
Last synced: 11 Apr 2026
https://github.com/akashshnkr/multi-disease-prediction
Developed and integrated three machine learning models for predicting diabetes, Parkinson's, and heart disease into a Streamlit-based web application. The interface allows users to input data and receive accurate health predictions, enhancing early detection and healthcare outcomes.
logistic-regression machine-learning-algorithms numpy pandas python scikit-learn streamlit-webapp svm
Last synced: 02 Jan 2026
https://github.com/kingabzpro/mlops-with-jenkins
From data ingestion to deploying the model using Jenkins.
classification fastapi jenkins mlops scikit-learn
Last synced: 13 Feb 2026
https://github.com/sambo-optimization/sambo
🎯📈 Sequantial and model-based optimization
bayesian-optimization bayesopt blackbox-optimization global-optimization global-optimization-algorithms hyperparameter-optimization hyperparameter-tuning machine-learning partial-dependence-plot sce-ua scientific-computing scikit-learn scikit-optimize scipy-optimize surrogate-based-optimization
Last synced: 01 Nov 2025
https://github.com/pockerman/tech3python
Collection of Python based algorithms on numerics, statistics, control etc
algorithms control estimation kalman-filter machine-learning numerical-methods particle-filter python3 scikit-learn statistics
Last synced: 18 May 2026
https://github.com/lucasfrag/dengue-prediction-knc
Projeto desenvolvido para realizar previsão de casos de dengue usando o algoritmo de classificação KNeighborsClassifier.
data-science knearest-neighbor-classifier machine-learning pandas python scikit-learn
Last synced: 11 Mar 2025
https://github.com/achuth-0908/hemoguard-anemia-predictor
A Web App incorporated with a Gradient Boosting Classifier Model, to predict Anemia with given data.
css flask html matplotlib numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/tasninanika/k-means-clustering
An interactive and insightful customer segmentation project using K-Means Clustering.
matplotlib numpy pandas plotly python3 scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/alexstratou/predicting-heart-disease-risk-with-scikit-learn
Predicting heart disease risk using combined UCI data and machine learning
cardiovascular-diseases classification cvd heart heart-disease jupyter-notebook machine-learning python scikit-learn sklearn
Last synced: 20 Jan 2026
https://github.com/jswong65/machine_learning_nanodegree
Projects of Udacity Machine Learning nanodegree
machine-learning numpy pandas python scikit-learn scipy
Last synced: 09 Apr 2026
https://github.com/kaushiksk/ml-kaggle-titanic-data
Application of various Machine Learning Algorithms and Optimization techniques to make Prediction on the Titanic Dataset at Kaggle.com
kaggle machine-learning pandas scikit-learn
Last synced: 05 May 2026
https://github.com/suundumused/weather-forecast-ai-example
The project scope is a weather forecasting model based on behavioral analysis of the last 33 hours (hour-by-hour forecast) with Random Forest Classifier. The program automatically saves and loads the last trained model for prediction.
ai artificial-intelligence artificial-intelligence-algorithms artificial-intelligence-projects artificialintelligence scikit scikit-learn scikit-learn-python scikitlearn scikitlearn-machine-learning weather weather-conditions weather-forecast weather-information
Last synced: 20 May 2026
https://gitlab.com/hylkedonker/statkit
Statistics for sci-kit learn.
machine learning scikit-learn statistics
Last synced: 01 Nov 2025
https://github.com/ladityagogoi/shadowguard
The ShadowGuard Browser Extension is a powerful tool designed to enhance user experience by identifying and highlighting potential dark patterns on websites. Our extension employs a combination of machine learning algorithms and natural language processing (NLP) models to detect and classify various deceptive design practices
css flask html javascript joblib numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/soumyagautam/sign-sense
Deep Learning and Neural Network based Sign Sense or 'Sign Language' to Speech converter is an desktop app which can detect hand signs in a frame and can convert them to Speech, according to their respective meaning. Opposite to this, it can also recognise your voice and can convert it to sign language.
ai cv2 dataprocessing deep-learning keras machine-learning mediapipe moviepy-library neural-network openai-whisper scikit-learn tensorflow tkinter-python
Last synced: 10 Apr 2026
https://github.com/pacatro/lse2text
Deep learning program that translates Spanish Sign Language (LSE) to text in real time.
ai cnn computer-vision deep-learning lse matplotlib numpy pandas python pytorch pytorch-lightning scikit-learn torchmetrics translation
Last synced: 11 Apr 2026
https://github.com/mgobeaalcoba/linear_algebra_for_machine_learning
Explore fundamental linear algebra concepts essential for machine learning in this repository, with code examples and explanations. Get a solid foundation for ML!
machine-learning matplotlib numpy pandas python3 scikit-learn scipy seaborn
Last synced: 12 Apr 2026
https://github.com/camilajaviera91/prediction-of-housing-prices-using-linear-regression
This project provides tools to search for datasets on Kaggle, download and preprocess them, and perform predictions using a Linear Regression model. It includes interactive text-based user interfaces built with `curses`.
curses kaggle linear-regression matplotlib-pyplot mean-absolute-error mean-square-error numpy pandas pathlib python scikit-learn train-test-split
Last synced: 10 Apr 2026
https://github.com/zen204/airbnb-availability
A machine learning model that predicts Airbnb listing availability, utilizing feature engineering and supervised learning techniques to improve guest experience and optimize host management.
binary-classification data-analysis data-preprocessing data-visualization feature-engineering machine-learning matplotlib model-evaluation nlp pandas predictive-modeling python scikit-learn seaborn supervised-learning
Last synced: 21 Jan 2026
https://github.com/flysirin/adstextclassification
Classification of advertisements by topic
docker excel flask pandas python pytorch scikit-learn
Last synced: 02 Jan 2026
https://github.com/aryanpillai2007/credit-card-fraud-detection
The primary goal of this project is to develop a comprehensive fraud detection system that enhances the security and trustworthiness of financial transactions.
anomaly-detection classification credit-card-fraud data-preprocessing data-science data-visualization fraud-detection imbalanced-data logistic-regression machine-learning outlier-detection pca pca-analysis python roc-curve scikit-learn
Last synced: 18 May 2026
https://github.com/prarthana-singh/heart-attack-prediction-model
A Machine Learning model that predicts the risk of a heart attack based on health parameters like cholesterol levels, blood pressure, BMI, smoking habits, and age. Built using Classification models, Scikit-Learn, Pandas, and Python.
classification data-analysis data-science heart-attack-prediction logistic-regression machine-learning numpy pandas python scikit-learn
Last synced: 25 Jun 2025
https://github.com/sanggusti/mentoring-skilvul-sic
A repository for teaching and mentoring as instructor of Skilvul Samsung Innovation Campus 2024
computer-vision flask machine-learning pymongo scikit-learn sql
Last synced: 20 Jan 2026
https://github.com/sarincr/training-on-artificial-intelligence
Entree Academy 10 Days free training on Artificial Intelligence. Course will be conducted in a Blended learning way with Daily one hour online training and 3 hour project based training
artificial-intelligence artificial-intelligence-algorithms data-analysis data-science data-visualization decision-trees deep-learning deeplearning logistic-regression machine-learning machine-learning-algorithms machinelearning num numpy pandas regression scikit-learn scipy sklearn
Last synced: 10 Apr 2026
https://github.com/adi3042/credit-card-fault-detection
🔍💳 Secure Your Finances! Detect anomalies and safeguard transactions with our Credit Card Fault Detection system. Dive into cutting-edge classification techniques to identify fraud and protect financial data. Your journey to secure payments starts here! 🚨🔒 FraudDetectionTech
classification credit-card css datetime fault-detection flask functools html ipykernel jupyternotebooks machine-learning numpy pandas python3 readme scikit-learn setuptools venv
Last synced: 03 Apr 2026
https://github.com/korpog/br_cancer
Binary classifier for Breast Cancer Wisconsin Data Set created with scikit-learn and xgboost.
classification data-science machine-learning pandas python scikit-learn xgboost
Last synced: 10 Apr 2026
https://github.com/pramodyasahan/car-safe-predictor
This repository contains a machine learning project that applies the K-Nearest Neighbors (KNN) classification algorithm to predict car safety ratings. The project uses a dataset of cars, with features such as buying price, maintenance cost, number of doors, persons, lug boot size, and safety.
classification k-nearest-neighbours machine-learning numpy pandas scikit-learn
Last synced: 10 Apr 2026
https://github.com/suvanwita/safescope
Women safety pattern analyzer using public crime datasets, DBSCAN hotspot clustering, Isolation Forest anomaly detection, geospatial heatmaps, and explainable risk scoring to surface historical incident patterns and time-aware safety insights
civic-tech crime-analysis dbscan isolation-forest machine-learning plotly python risk-scoring scikit-learn streamlit women-safety
Last synced: 25 Jun 2026
https://github.com/anav5704/honeywell-aog-zero
Data-driven, proactive maintenance sheduling system for APUs
docker fastapi nextjs postgresql scikit-learn
Last synced: 20 Jan 2026
https://github.com/leabrodyheine/ml-kaggle-cirrhosis-data
This project showcases skills in machine learning, data preprocessing, and model evaluation using Python libraries such as scikit-learn, XGBoost, and Optuna. It involves implementing various machine learning models, handling imbalanced data, and employing imputation techniques to enhance model performance for predicting cirrhosis outcomes.
data-analysis data-pre imbalanced-data imputation machine-learning optuna pipeline scikit-learn xgboost
Last synced: 14 May 2026
https://github.com/alyssonmach/machine-learning-com-python
Aplicações de Machine Learning usando a linguagem de programação Python.
ia keras-tensorflow machine-learning matplotlib numpy pandas programming python scikit-learn scipy
Last synced: 10 Apr 2026
https://github.com/vipulbunny/house-price-prediction
House Price Prediction is a machine learning project that analyzes real estate data to predict house prices based on various features like location, size, and amenities. It involves data preprocessing, exploratory data analysis (EDA), feature engineering, and model training using regression algorithms to provide accurate price estimates. 🚀📊🏡
ai-in-real-estate data-science data-visualization eda feature-engineering house-price-prediction housing-market-analysis machine-learning predictive-modeling python real-estate-analytics regression-models scikit-learn
Last synced: 03 May 2026
https://github.com/devash2/ayur-scan
Indian Medicinal Leaf detection application using ML and DL
flask flutter google-firebase opencv python scikit-learn tensorflow
Last synced: 10 Apr 2026
https://github.com/sanuann/ml-projects
machine-learning naive-bayes python scikit-learn scikitlearn-machine-learning sklearn svm
Last synced: 18 May 2026
https://github.com/lorenzorottigni/ml-ecommerce
Machine Learning python bootcamp: linear regression on ecommerce dataset
ipynb linear-regression machine-learning numpy pandas python scikit-learn seaborn
Last synced: 07 Apr 2026
https://github.com/lorenzorottigni/dl-tensorboard
Deep Learning python bootcamp: tensorboard with cancer dataset
deep-learning ipynb machine-learning python scikit-learn tensorboard tensorflow
Last synced: 05 May 2026
https://github.com/sahilk12nayak/hyperspectral-corn-don-prediction-project
This project contains a machine learning pipeline for predicting DON (vomitoxin) concentration in corn samples using hyperspectral imaging data.
matplotlib numpy pandas python scikit-learn seaborn tensorflow
Last synced: 10 Apr 2026
https://github.com/dipto9999/ml_introduction
An Introduction to Machine Learning, primarily using Python scikit-learn library.
data-science decision-trees jupyter-notebook k-means-clustering k-nearest-neighbors linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas principal-component-analysis python random-forest scikit-learn seaborn support-vector-machines
Last synced: 10 Apr 2026
https://github.com/vedanty3/bulldozer-price-prediction
A machine learning project aiming to build a machine learning model which could predict the sales price of bulldozer.
andrew-ng-machine-learning ensemble-machine-learning gridsearchcv jupyter-notebook machine-learning matplotlib numpy pandas python randomforestregressor randomizedsearchcv scikit-learn ztm
Last synced: 05 Apr 2026
https://github.com/1egoman/machine-deep-learning-notes
Notes from my machine deep learning exploration
deep-learning machine-learning neural-networks notes python scikit-learn tensorflow udacity
Last synced: 10 May 2026
https://github.com/arasoul/face-recognition-streamlit
🎯 Neural Face Recognition Matrix - Professional AI-powered biometric identification system with real-time face detection, recognition, and cyberpunk-styled interfaces. Features both web (Streamlit) and desktop (Tkinter) applications with comprehensive training pipeline, Docker deployment, and CI/CD automation.
ai bioinformatics computer-vision deep-learning face-recognition facenet gui machine-learning mtcnn neural-network open-source opencv pytorch real-time scikit-learn streamlit svm
Last synced: 02 Apr 2026
https://github.com/ksasi/customer_segments
machine-learning numpy pandas python scikit-learn
Last synced: 10 Apr 2026
https://github.com/adityakumarda/kmeans-web-analytics
Built with Python, Pandas, and Scikit-learn, this machine learning project uses K-Means to cluster website users by behavior. It reveals patterns in engagement and bounce, helping drive data-informed decisions.
cluster-analysis elbow-curves elbow-method elbow-plot jupyter-notebook kmeans-clustering machine-learning matplotlib numpy pandas python python3 relationship scikit-learn seaborn sklearn
Last synced: 10 Apr 2026
https://github.com/dineshdhamodharan24/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: 10 Apr 2026
https://github.com/abhishek10351/ai-ml
Exploring basics of AI-ML
ai jupyter-notebook machine-learning matplotlib ml numpy pandas python scikit-learn
Last synced: 04 Apr 2026
https://github.com/sunnyrao07/stroke-risk-prediction
Predicting stroke risk using machine learning models based on healthcare and demographic data.
data-cleaning data-visualization decision-trees feature-engineering label-encoding matplotlib model-evaluation numpy outlier-detection pandas python random-forest scikit-learn seaborn standard-scaler
Last synced: 10 Apr 2026
https://github.com/jelhamm/principle-component-analysis-data-mining
"This repository contains an implementation of the Principal Component Analysis (PCA) algorithm, which is one of the key techniques used for dimensionality reduction in data mining and machine learning."
data-mining data-science jupyter-notebook machine-learning machine-learning-algorithms pca principal-component-analysis python pytorch scikit-learn scipy-library tensorflow
Last synced: 10 Apr 2026
https://github.com/sisolieri/prova_ds_saloocupacio2024
Admission challenge to Hackató Saló Ocupació by Barcelona activa
arima barcelona catboost data-analysis data-visualizations forecasting machine-learning pandas public-funding python scikit-learn time-series xgboost
Last synced: 10 Apr 2026
https://github.com/broodhoney/heart-disease-prediction
This is a machine learning project which has a trained model that classifies whether a patient has a heart-disease or not.
kaggle-dataset matplotlib numpy pandas python scikit-learn scikitlearn-machine-learning uci
Last synced: 10 Apr 2026
https://github.com/thiagohrcosta/movieapp-ml
The Movie APP is a project created to apply some of the concepts learned throughout the post-graduation degree at XP Educação in Artificial Intelligence with an emphasis on Machine Learning. While this project is not integrated into the curriculum of the course, some of the concepts used were learned during the program.
docker flask-api machine-learning mysql-database postgresql python scikit-learn
Last synced: 10 Apr 2026
https://github.com/ameykasbe/credit-card-fraud-detection-on-imbalanced-dataset
Examined data preprocessing techniques and performance of six different predictive models in Python to credit card fraud detection problem on an imbalanced dataset. Algorithms implemented - Logistic Regression, K Nearest Neighbours, Support Vector Classification, Naïve Bayes Classifier, Decision Tree Classifier, and Random Forest Classifier.
classification machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/vijaykumarr1452/startup_success_predictor
This project demonstrates the use of Multiple Linear Regression to predict the profits of startups based on investment in R&D, Administration, and Marketing of dataset (50_Startups.csv)
machine-learning multi-linear-regression numpy pandas python regression rsquare-values scikit-learn
Last synced: 10 Apr 2026
https://github.com/bhazel/dockerfiles
Some Dockerfiles for working with specific technologies or learning resources.
docker dockerfile ocaml python rails ruby scikit-learn
Last synced: 10 Apr 2026
https://github.com/jol79/python_exercises
Solving interesting python exercises on different topics
matplotlib-pyplot numpy pandas python3 pythonexercises scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/snigdho8869/clustering-projects
Repository for various clustering projects including mall customer segmentation and more. Explore data analysis and clustering techniques
cluster-analysis clustering clustering-algorithm customer-segmentation deep-learning gaussian-mixture-models hierarchical-clustering hierarchical-models kmeans-algorithm kmeans-clustering machine-learning mall-customer-segmentation mall-customers numpy pandas scikit-learn segmentation spectral-clustering tensorflow
Last synced: 10 Apr 2026
https://github.com/gamowy/music-classification
Music genre classification using k nearest neighbors classifier based on gtzan dataset
machinelearning python scikit-learn university-assignment
Last synced: 10 Apr 2026
https://github.com/filsan-musa/project-iot_malware_identification
This repository contains the code and data for a project that detects malware from IoT devices using a publish-subscribe model with Confluent and Databricks. The project streams IoT device data to Kafka, analyzes it, and detects malware using machine learning models such as Random Forest and Gradient Boosted Trees.
apache-kafka classification confluent databricks machine-learning-algorithms scikit-learn sql
Last synced: 31 Aug 2025
https://github.com/marktheo/bike-sharing-demand
Jupyter Notebook - Predicting bike rental numbers based on climate and temporal data
decision-tree-classifier decision-tree-regression jupyter-notebook machine-learning scikit-learn
Last synced: 18 May 2026
https://github.com/victoorv/detection_malwares
L'objectif de ce projet est de développer un classifieur capable de différencier les logiciels malwares des goodwares.
classification data-analysis data-science machine-learning machine-learning-algorithms malware-analysis malware-detection oversampling-algorithms python scikit-learn supervised-learning undersampling-algorithms
Last synced: 28 Apr 2026
https://github.com/ahmed-maher77/signlink___graduation-project
𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐒𝐢𝐠𝐧 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐓𝐫𝐚𝐧𝐬𝐥𝐚𝐭𝐨𝐫 | A web and mobile app that bridges communication gaps for the deaf and hard-of-hearing community by translating English and Arabic sign language into real-time text and speech, and converting spoken words into text during video calls.
csharp fastapi firebase-realtime-database flutter framer-motion javascript microsoft-dot-net-technologies numpy opencv python pytorch reactjs scikit-learn scss-framework sign-language-recognizer sign-language-translation sql-server tailwindcss webrtc websockets
Last synced: 07 Apr 2026
https://github.com/arssite/dirty-cleanflooringimageprocessingusingyolov5
Uses YOLOv5 to classify floor cleanliness into five categories based on visual cues. It includes an annotated dataset, trained model,& evaluation outputs. Code covers data preprocessing, training, & testing. A comparative analysis highlights YOLOv5's advantages over traditional methods, providing an efficient solution automated floor cleanliness.
deep-neural-networks github google-colab jupyter-notebook labelimg matplotlib-pyplot numpy-library opencv-python pandas-python pytorch scikit-learn tensorflow yolov5
Last synced: 10 Apr 2026
https://github.com/pedrosfaria2/match_predictor_models
Soccer match prediction models
css css3 flask html html5 javascript modeling modeling-and-simulation python python3 scikit-learn simulation test-automation test-driven-development testing
Last synced: 11 Apr 2026
https://github.com/annasmustafadev/network-intrusion-detection-ml
Machine learning-based Intrusion Detection System (IDS) for classifying network traffic as normal or malicious using supervised learning techniques. Includes data preprocessing, feature selection, model training, and evaluation for improved cybersecurity intelligence.
anomaly-detection classification cyber-security data-science intrusion-detection machine-learning python scikit-learn supervised-learning
Last synced: 29 Apr 2026
https://github.com/chirindaopensource/measuring_economic_outlook_in_news
End-to-End Python implementation of Beck et al.'s (2025) economic sentiment analysis framework for constructing a high-frequency economic sentiment indicator using 1024-dimensional Jina embeddings and LLM-generated training data. Features L2-regularized classification and rigorous POOS econometric validation with DM-HAC tests for GDP forecasting.
claude-ai computational-economics econometrics financial-modeling jina-embeddings llm nlp privacy-preserving-ml python regularized-regression reproducible-research scikit-learn sentiment-analysis statsmodels synthetic-data tensorflow time-series-forecasting transformers weak-supervision
Last synced: 30 Apr 2026
https://github.com/anastasius21/fakenewsmodel
The repo contains the model for fake news detection and a streamlit app for its implementation.
fake-news-detection machine-learning nlp pandas python scikit-learn
Last synced: 05 May 2026
https://github.com/nk-works/creditflow-ai
CreditFlow AI predicts loan defaulters using Artificial Neural Networks (ANNs). This model uses historical loan data to predict the likelihood of default for new loan applications.
ai artificial-neural-networks deep-learning jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn seaborn tensorflow
Last synced: 24 Jun 2025
https://github.com/hallowshaw/speech-emotion-recognition-with-mfcc
A project to classify emotions like happiness, sadness, and anger from speech using MFCCs, machine learning models, and visualizations for audio features and model performance.
crema-d kaggle-dataset librosa lstm matplotlib mel-frequency-cepstral-coefficient mfcc mfcc-algorithm python ravdees savee scikit-learn seaborn sentiment-analyser sentiment-analysis speech-emotion-regonition speech-sentiment-analysis tess voice-emotion-recognition voice-sentiment-analysis
Last synced: 07 May 2026
https://github.com/tomgorb/ds-utils
pre-processing of a DataFrame into a sparse matrix for model input
machine-learning preprocessing scikit-learn
Last synced: 16 May 2026
https://github.com/jay4codes/time-series-comparative-analysis
A comparative analysis of various time series models on JP Morgan's stock price data for stock price predictive analysis
scikit-learn tensorflow time-series-analysis
Last synced: 10 May 2026
https://github.com/anirudh-pulavarthy/car-evaluation-using-smote
machine-learning python scikit-learn smote-sampling
Last synced: 24 Apr 2026
https://github.com/miteshgupta07/zomato-restaurant-rating-predictor
A Zomato rating prediction app that uses machine learning to forecast restaurant ratings based on various factors, helping users make informed dining decisions.
flask machine-learning python scikit-learn
Last synced: 10 Apr 2026
https://github.com/sakshi2215/email-sms--spam_classifier
nltk-python scikit-learn streamlit-webapp
Last synced: 17 May 2026
https://github.com/gozsari/ml-oneday-course
This is a one-day machine learning introductory course for beginners
anomaly-detection classification clustering course dimensionality-reduction machine-learning machine-learning-algorithms ml-course ml-workflow regression scikit-learn supervised-learning unsupervised-learning
Last synced: 20 Jan 2026
https://github.com/ledsouza/nlp-article-classification
This project aims to develop a machine learning model capable of classifying news articles into different categories based on their titles. Two different word embedding models (CBOW and Skip-gram) are trained and used to vectorize the article titles. These vectorized representations are then used to train a Logistic Regression classifier.
gensim-word2vec natural-language-processing nlp nlp-machine-learning pandas python scikit-learn spacy spacy-nlp
Last synced: 11 Apr 2026
https://github.com/anuragkush2527/vibesync-3.0
Sentiment analysis in social media involves using natural language processing (NLP) and machine learning to analyze users' opinions, emotions, and attitudes expressed in posts, comments, and reviews. It helps in understanding public sentiment, monitoring trends, and making data-driven decisions.
expressjs fastapi mongodb nltk nodejs numpy pandas python reactjs scikit-learn sentiment-analysis tensorflow
Last synced: 16 Oct 2025
https://github.com/tsungtsetu122/datamining-cifar10-classification
Data mining project on CIFAR-10 extracted features, applying preprocessing, classification models, and evaluation techniques to improve classification performance.
matplotlib numpy pandas python scikit-learn
Last synced: 10 Apr 2026
https://github.com/parthapray/nlp_pipeline_openai
This repo contains nlp pipeline and openai API integration
gradio matplotlib networkx nltk openai rake-nltk scikit-learn seaborn spacy textblob textstat wordcloud
Last synced: 10 Apr 2026
https://github.com/j-sephb-lt-n/unsupervised-fraud-detection
Exploring anomaly detection using unsupervised methods in scikit-learn
anomaly anomaly-detection fraud-detection isolation-forest local-outlier-factor outlier outlier-det scikit-learn sklearn unsupervised
Last synced: 07 May 2026
https://github.com/hmasdev/ssbgm
Score Based Generative Model with scikit-learn
Last synced: 17 May 2026
https://github.com/ankitjha2202/sentiment_analysis
A simple web application that performs sentiment analysis using logistic regression to predict whether a given text has a positive, negative or neutral sentiment.
classification logistic-regression nlp scikit-learn sentiment
Last synced: 28 Mar 2025
https://github.com/anras5/songs-classifier
Classify songs' genres with Machine Learning
data-science docker machine-learning mlflow pandas python scikit-learn seaborn streamlit tpot
Last synced: 10 Apr 2026
https://github.com/prasadhiremath1/movie-recommender-system
Select a movie and 5 similar movies are recommended from the tmdb dataset
pandas python3 scikit-learn streamlit
Last synced: 11 Apr 2026
https://github.com/zohaib-cheema/defacto
DeFacto is a machine learning-based tool that classifies fake news articles using a hybrid model built with Scikit-learn, TensorFlow, and Keras. The system analyzes social and political content to detect deception in news stories and social media posts, providing a reliable solution to address the growing issue of misinformation.
flask git keras numpy pandas r scikit-learn tensorflow
Last synced: 07 Apr 2026
https://github.com/crispengari/ml-web-applications
✔ This repository contains a series of machine learning web applications, using python.
artificial-intelligence deeplearning flask javascript machinelearning nueral-networks python scikit-learn sentiment-analysis webapplication
Last synced: 11 Apr 2026
https://github.com/mnitin-reddy/collaborative-filtering-based-recommendation-system
This project is a Book Recommendation System that uses two main approaches: Popularity-Based and Collaborative Filtering. It recommends top books based on their rating frequency and average ratings, and also provides personalized book suggestions by analyzing user interactions.
collaborative-filtering numpy pandas popularity-based-recommendation python recommendation-system scikit-learn
Last synced: 11 Apr 2026
https://github.com/toluwalase-taiwo/ml-zoomcamp
Machine learning repository
algorithms jupyter-notebook machine-learning matplotlib numpy pandas python3 scikit-learn
Last synced: 11 Apr 2026
https://github.com/simon2k/ieee-cis-fraud-detection
Can you detect fraud from customer transactions?
customer-transactions fraud-detection fraud-relation machine-learning numpy pandas scikit-learn
Last synced: 11 Apr 2026
https://github.com/akshaya13/recommendation-system
Content Based Recommendation system using tags!
nltk scikit-learn similarity-search tmdb-database
Last synced: 18 May 2026
https://github.com/therayyanshariff/cinereview
A Machine Learning web app for sentiment analysis, using a Scikit-learn NLP model with a custom-styled Streamlit UI.
machine-learning nlp python scikit-learn sentiment-analysis streamlit
Last synced: 04 May 2026
https://github.com/domingosdeeulariadumba/imdb250_stars
IMDb 250 analysis (Stars vs Gross ROI/Rating)
cinema feature-engineering powerbi regression-models rfe scikit-learn ssms statsmodels
Last synced: 18 Jan 2026
https://github.com/gamowy/urbansounds-classification
Classification of urban sounds using Tensorflow Keras
keras machine-learning python scikit-learn tensorflow
Last synced: 11 Apr 2026
https://github.com/eco786786/spotify-playlist-generator
This project uses machine learning to cluster songs by features like tempo, genre and mood with K-Means. It then creates personalised Spotify playlists based on these clusters, providing dynamic, genre specific track collections. Integrating the Spotify API, it enables users to explore new music within custom groupings.
flask matplotlib pandas python3 scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/archie-cm/churn-analysis-for-bank-customer
The objective from this project are to predict customer churn and provide recommendations to the business team
feature-engineering machine-learning python scikit-learn
Last synced: 11 Apr 2026
https://github.com/jagadeeshm007/machine_learning_with_python
my roadmap of Machine Learning with Python .
algorithms machine-learning matplotlib python python3 regression-models scikit-learn
Last synced: 07 Apr 2026
https://github.com/rosa-lpz/machine-learning-zoomcamp-2025
Machine Learning Zoomcamp 2025 from DataTalksClub. Based on repository: https://github.com/DataTalksClub/machine-learning-zoomcamp/tree/master
aws deep-learning docker flask kserve kubernetes machine-learning machine-learning-algorithms machine-learning-projects metrics-visualization neural-networks numpy pandas python scikit-learn tensorflow xgboost
Last synced: 06 Apr 2026
https://github.com/pkini2002/ipl-score-predictor
Machine Learning Academic Project
flask ipl-score-prediction jupyter-notebook machine-learning pickle-file python3 scikit-learn
Last synced: 11 Apr 2026
https://github.com/labex-labs/scikit-learn-for-beginners
This comprehensive course covers the fundamental concepts and practical techniques of Scikit-learn, the essential machine learning library in Python. Learn to build, train, and evaluate machine learning models using various algorithms and preprocessing techniques.
algorithms beginner-friendly classification clustering course data-science feature-engineering hands-on labex labs machine-learning model-evaluation preprocessing programming python python-programming regression scikit-learn supervised-learning unsupervised-learning
Last synced: 14 May 2026