Topic: linearsvc Goto Github
Some thing interesting about linearsvc
Some thing interesting about linearsvc
linearsvc, A Breast Cancer Prediction Model
User: abideen-olawuwo
linearsvc,A flask app to prdict iris flower using LinearSVC deployed on heroku
User: adityakumar-01
Home Page: https://iris-svc.herokuapp.com/
linearsvc,This project aims to determine the likelihood of a company facing bankruptcy, a crucial aspect of financial analysis and investment decision-making.
User: allanssematimba
linearsvc,Analyzing data patterns and different classification methods
User: amantewary
linearsvc,Erdos Institute Bootcamp project analyzing cuisines by recipe ingredient lists.
User: amichaelsen
linearsvc,In this part I'm working on Maternal Health Risk Prediction
User: aminkhavari78
linearsvc,Scraping data through Instagram and using the data to build a predictive model
User: arnabmanna619
linearsvc,Implementation of various Machine Learning and Deep Learning models for Sentiment Analysis on the 'Sentiment Labelled Sentences Data Set' by University of California, Irvine.
User: atharvajk98
linearsvc,Long english text passages are given, a genuine topic is needed to be assigned to the particular text passage. After cleaning the dataset, features were learnt using thidf approach, Linear SVC is used to get the final prediction
User: atul04
linearsvc,Exploring different text classification methods
User: chiwang03
linearsvc,Fake news detection using TF-IDF vectorization and LinearSVC
User: daniel-was-taken
linearsvc,Deep-learning is hard bro !, so made a binary classifier in machine learning that uses HSV Color Space to Look out for Features
User: dev-roshan-lab
linearsvc,Application of various text classification algorithms on multiple datasets.
User: erdos1729
linearsvc,The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 150.
User: harmanveer-2546
linearsvc,Choosing the Correct Model for the our Data Set on the Basis of Scikit Learn Algorithm Map.
User: iamkirankumaryadav
linearsvc,This project involves the implementation of efficient and effective LinearSVC on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
User: ibodumas
linearsvc,Object Detection Techniques for the Vehicle Detection
User: jeongwhanchoi
linearsvc,NLP Classification and Clustering with spam SMS dataset
User: jerrycyng
linearsvc,The purpose of this project is to build a machine learning model to classify SMS messages as either "spam" or "ham" (not spam). Using TF-IDF vectorization and LinearSVC, it reads an SMS dataset, transforms text data into numerical features, and trains a model to distinguish between spam and ham. The "SMSSpamCollection" dataset has labeled messages.
User: jmarihawkins
linearsvc,In this project I intend to predict customer churn on bank data.
User: karthikmurugadoss1804
linearsvc,DevStack Solution Internship Program "Data Science Internship" Task-1 on Fake news detecting system using python and machine learning
User: kumarinishu
linearsvc,This project was built within 24h by the team Augusteam for the DevHacks 2022 Climate Change hackathon sponsored by Systematic and it won the third place worth 500€
User: lmihaig
linearsvc,Machine Learning clasificación con SKLearn
User: luiggi-piero
linearsvc,Dartmouth COSC 274: Machine Learning models for Amazon Reviews dataset
User: mannetishyam
linearsvc,Implementation of Drug database with LinearSVC, BernoulliNB, MultinomialNB, LogisticRegression, Perceptron and MLPClassifier models
User: mbfakourii
linearsvc,This is a simple project which trains on the datasets, based on the tweets of US President Donald Trump and Canadian Prime Minister Justin Trudeau and predicts which one belongs to whom?
User: memeghaj10
linearsvc,Arabic_Dialect_Identification_NLP-AIM-Task
User: mohamedsebaie
linearsvc,The aim is to create a classifier that indicates whether a requested transaction is genuine or fraudulent.
User: musamasango
Home Page: https://musaaustinm.wixsite.com/musa-masango-data-sc/portfolio
linearsvc,A mini ML project of feature and model selection on breast cancer data
User: nazliozum
linearsvc,ML algorithms in Python
User: piyush-multiplexer
linearsvc,An end-to-end plagiarism classification model deployed in AWS SageMaker.
User: priyathamhub
linearsvc,Movie genre classification in NLP using multinomial navie bayes classification and linear support vector classification.
User: raghuls-github
linearsvc,Final Year project based upon Network Intrusion Detection System
User: rahul-38-26-0111-0003
Home Page: http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html
linearsvc,NLP using SpaCy python library
User: rameppala
linearsvc,This repository contains a number of experiments with Multi Lingual Transformer models (Multi-Lingual BERT, DistilBERT, XLM-RoBERTa, mT5 and ByT5) focussed on the Dutch language.
User: robinsmits
linearsvc,Classification of civil unrest relevant tweets in the Mexico region using SVM (Support Vector Machine) classifier.
User: rutvikbhavsar
linearsvc,The objective of this project is to classify whether upcoming product will have positive or negative Sentiment.
User: shreyaswankhede
linearsvc,Sentiment Analysis of Movie Reviews is either positive or negative review, the dataset which is used is "IMDB Dataset of 50K Movie Reviews" and the machine learning algorithm which I used in this is Logistic Regression , Random Forest and LinearSVC.
User: skythonk
linearsvc,This repository houses a Streamlit web application for fake news detection. The app allows users to input a news article and predicts whether it is likely fake or real based on its content. It provides options to select different vectorizers (TF-IDF or Bag of Words) and classifiers (Linear SVM or Naive Bayes) to customize the prediction model.
User: smridhvarma
Home Page: https://fnddeploy.azurewebsites.net/
linearsvc,Text classification on job description dataset
Organization: solvve
linearsvc,Fake news related to the coronavirus pandemic has now become a huge problem since false information can lead to worry and concerns regarding the disease. It is not possible to perfectly detect fake news unless the news has been labelled fake or real. Therefore, I have taken this issue as my problem and have developed a project that can detect fake news regarding Covid19 pandemic with the help of the dataset from Kaggle containing Covid19 public media information. I have also used different machine learning classifiers to check which classifier is best suited for the detection
User: srl123
linearsvc,Build, train and compare performances of multiple binary classification machine learning model techniques to detect credit card fraudulent transactions.
User: sssingh
linearsvc,Application of LSTM on imdb dataset for sentiment classification problem
User: torsha-sett
linearsvc,Developed a project which detects the news either as fake or real. GPT2 transformer model is used to predict the sentiment and genre of news. Classifier Machine Learning models and Hugging Face Transformer-Based language models are used to classify the news
User: varshithacvasireddy
linearsvc,Part of an internal project for my internship
User: wolfsinem
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