Topic: classifiers Goto Github
Some thing interesting about classifiers
Some thing interesting about classifiers
classifiers,Library for computing classifier Learning Curves & iPython notebooks to improve your learning curve for using Learning Curves for ML research and practice!
Organization: allenai
classifiers,Making a dataset of poems and try categorising them in 4 genres using two different classifiers.
User: amitjoshi9627
classifiers,Machine Learning Modelling On Regression & Classification Problems
User: ansh3101
classifiers,🏀 Hardcoded ML classifiers from scratch to create predictive models on the outcomes of NBA games!
User: anthonykrivonos
classifiers,All Machine Learning Algorithms
User: aswinzz
classifiers,Classifiers to Mine For Ligandable Binding Cavity in RNA
User: atfrank
classifiers,Kmeans And Hierarchical Clustering Analysis Program for Clustering Visualization using Iris Dataset
User: ayantika22
Home Page: https://github.com/Ayantika22/Kmeans-and-Hierarchical-Clustering-Visualization-for-Iris-Dataset
classifiers,Fast and accurate sequence demultiplexing
Organization: biosails
classifiers,Machine Learning to identify animal class
User: cmagarap
classifiers,Repository with my data science projects.
User: codingbee77
classifiers,Here's a conundrum: ML is really awful at telling apart humor from serious content. Nonetheless, we attempt this, by looking at a couple peculiar subReddits.
User: cotica
classifiers,Supervised learning methods for biometric authentication on mobile devices
User: dingvale
classifiers,ACL 2021 paper "Style is NOT a single variable: Case Studies for Cross-Style Language Understanding " by Dongyeop Kang and Eduard Hovy
User: dykang
Home Page: http://xslue.com/
classifiers,Repo hosting the notebooks for the assignments of the fall 21 "Neural Networks and Intelligent Systems" course @ NTUA
User: esarant
classifiers,ObjectDetector uses OpenCV Haar cascade classifiers to detect different objects in images and videos with Python. For now, this repository includes my trained haar cascade classifier for detecting cars, the default haar cascade classifier for human faces (haarcascade_frontalface_default), a classifier for bananas from CodingRobin and a classifier for wallclocks which are used and tested in programs, detecting the objects from image/video, comparison between different human body parts classifiers and some other programs, which (will) help training the classifiers (for example, a program downloading the "cat box" synset images from ImageNet).
User: gale31
classifiers,A research on how macroeconomic, microeconomic factors and personal data could affect mortgage risk using Machine Learning techniques.
User: herambvd
classifiers,Machine learning course for graduate students
User: javiervales
classifiers,Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently trajectories.
User: jim-spyropoulos
classifiers,song_tagger is a project which uses multiple naive-Bayesian classifiers (via nltk.NaiveBayesClassifier) to tag songs based off of profanity, drug references, sexual references, and violent language.
User: kristoferbuno
Home Page: https://songs.kristoferbuno.com
classifiers,The implementations of some classifiers
User: lokesh-pavan-kumar
classifiers,Classification with KNN / SVM / Random Forest / Naive Bayes
User: lsmyrnaios
classifiers,Classification of a music sample among 10 genres (rock, jazz, blues...) using several models
User: luca-serra
classifiers,Combinin' several ML techniques into one predictive model.
User: moolfel
classifiers,This is an official Leaderboard for the RuSentRel-1.1 dataset originally described in paper (arxiv:1808.08932)
User: nicolay-r
Home Page: https://github.com/nicolay-r/RuSentRel
classifiers,Deploy image classifier on a static website using javascript.
User: novasush
classifiers,A collection of substantial projects I completed for the CS156 Machine Learning course.
User: polinavishnev
classifiers,Airbnb Price in NYC ( Select Boroughs )
User: prithivsakthiur
Home Page: https://huggingface.co/spaces/prithivMLmods/Airbnb-NYC-Maps
classifiers,Text Sentiment Analysis using Ensembles
User: pstavrakoglou
classifiers,Hotspotter is software used to classify energetic hot spots of protein:protein interaction
Organization: raschka-research-group
classifiers,Here is developed a project for the Data Intensive Applications Programming Course.
User: rbattistini
classifiers,In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).
User: rehmanzafar
Home Page: https://doi.org/10.3390/make3030027
classifiers,This repository contains code and documentation for a machine learning project focused on predictive maintenance in industrial machinery. The project explores the development of a comprehensive predictive maintenance system using various machine learning techniques.
User: riccardoprosdocimi
classifiers,Fake News Detection on Liar dataset
User: rishihazra
classifiers,Analyzed a 23-feature dataset, targeting 'RainTomorrow' for weather insights. Conducted thorough data gathering, preprocessing, and feature selection. Evaluated diverse models (Logistic Regression, Random Forest, Decision Trees, K-means, K-nearest neighbors, Hierarchical clustering) and employed technical metrics for in-depth performance analysis.
User: sairajindroju
classifiers,The main aim of the project is to develop a sentiment analyzer that can be used on twitter data to classify it as positive or negative. Our project takes care of the challenge of bilingual comments, where people tweet in two languages, in this case Hindi and English, in the Latin Alphabet.
User: sakshidgoel
classifiers,Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.
User: san089
classifiers,Registered Software. Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.
User: sergio94al
Home Page: https://iopscience.iop.org/article/10.1088/2058-9565/ac1ab1
classifiers,Following tutorials from Josh Gordon.
User: shreydan
Home Page: https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal
classifiers,Spectral parameterisation and classification using Artifical Neural Networks (ANN) - Indo-French School on Spectroscopy and Polarimetry, IUCAA
User: spamfour
classifiers,Decision Tree Classifier is used in this wine data to test the quality of wine. Additional study about entropy and information gain provides overall understanding about how this classifier works in order to predict.
User: subbulakshmisn
classifiers,The Diabetes Prediction Application serves as a valuable tool for individuals to assess their risk of diabetes based on personal health information. By leveraging machine learning techniques, the application provides accurate predictions, aiding users in making informed decisions about their health.
User: subbulakshmisn
classifiers,An AI application that can detect the smile on the face(s) in real time i-e from a webcam or even a captured video.
User: taneemishere
classifiers,Classifying IMDB reviews as "positive" or "negative" using sentiment analysis with neural networks.
User: taniabatista
classifiers,Photometric light curves classification with machine learning
User: tatigabru
Home Page: https://arxiv.org/pdf/1909.05032.pdf
classifiers,This project is a web application for predicting loan approval status based on various financial and personal attributes. It uses a machine learning model that I trained on historical loan data to make predictions. I built the web application using Flask for the web framework, SQLite for the database, and the pre-trained model saved with joblib.
User: tynoee
classifiers,Machine Learning Project on Breast Cancer Diagnosis using Sklearn, matplotlib, pandas, and seaborn
User: vaibhavz2402
classifiers,Various classifiers using bayesian networks, for Knowledge Representation class at UNIBO
User: wadaboa
classifiers,Based on aspects of building location and construction, was made a MLP (MuiltiLbal Perceptron) to predict the level of damage to buildings caused by the 2015 Gorkha earthquake in Nepal.
User: wyctorfogos
classifiers,Driver's Consciousness Level Analysis using EEG Signals
User: youlenda
classifiers,A Zeek script to generate features based on timing, volume and metadata for traffic classification.
Organization: zeek-flowmeter
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.