linearsvc

There are 0 repository under linearsvc topic.

rahul-38-26-0111-0003 / Network-based-Intrusion-Detection-Systems
Final Year project based upon Network Intrusion Detection System
python3 scikit-learn machine-learning adaboost decision-tree naive-bayes knn-classification linear-discriminant-analysis linearsvc logistic-regression multilayer-perceptron quadratic-discriminant-analysis random-forest sgd-classifier correlation
Language:Jupyter Notebook 32
Solvve / ml_job_classifier
Text classification on job description dataset
decision-tree-classifier linearsvc logistic-regression nlp-machine-learning text-classification
Language:Jupyter Notebook 9
shreyaswankhede / Sentiment-Analysis-on-Online-Product-Reviews
The objective of this project is to classify whether upcoming product will have positive or negative Sentiment.
linearsvc productreviews sentiment-analysis sgd-classifier svm tfidf wordcloud
Language:Jupyter Notebook 8
SkyThonk / Movie-Reviews-Sentiment-Analysis
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.
nlp nlp-machine-learning machine-learning machine-learning-algorithms spacy-nlp spacy logarithmic-regression random-forest linearsvc sentiment-analysis movie-reviews
Language:Jupyter Notebook 7
jeongwhanchoi / object-detection
Object Detection Techniques for the Vehicle Detection
opencv object-detection linearsvc hog-features spatial-binning
Language:Jupyter Notebook 6
Erdos1729 / text-classification-ml
Application of various text classification algorithms on multiple datasets.
text-classification machine-learning-algorithms machine-learning linearsvc random-forest knn-classification gradient-boosting bagging-ensemble decision-tree rocchio-algorithm nearest-centroid regex text-processing regular-expression jupyter-notebook seaborn-plots
Language:Jupyter Notebook 4
athrvkk / UCI-Sentiment-Analysis
Implementation of various Machine Learning and Deep Learning models for Sentiment Analysis on the 'Sentiment Labelled Sentences Data Set' by University of California, Irvine.
bidirectional-lstm convolutional-neural-networks deep-learning feedforward-neural-network linearsvc lstm-neural-networks machine-learning multinomial-naive-bayes random-forest-classifier sentiment-analysis tfidf-vectorizer uci-machine-learning wordembeddings
Language:Jupyter Notebook 3
ibodumas / linearSVM
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.
linearsvm linearsvc sklearn mnist-classification sklearn-classify svm svm-classifier svm-learning mnist-handwriting-recognition machine-learning machine-learning-algorithms
Language:Jupyter Notebook 3
MohamedSebaie / Arabic_Dialect_Identification_NLP-AIM-Task
Arabic_Dialect_Identification_NLP-AIM-Task
arabert farasa nlp-machine-learning dialect-identification linearsvc bert-fine-tuning preprocessing
Language:Jupyter Notebook 3
RobinSmits / Dutch-NLP-Experiments
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.
transformers-models xlm-roberta multilingual-bert tensorflow2 nlp bert text-classification transformers linearsvc mt5 byt5 distilbert
Language:Python 3
daniel-was-taken / Fake-News-Detection
Fake news detection using TF-IDF vectorization and LinearSVC
fake-news-detection linearsvc machine-learning nlp nlp-keywords-extraction streamlit tf-idf
Language:Python 2
KarthikMurugadoss1804 / Prediction-of-customer-churn
In this project I intend to predict customer churn on bank data.
linearsvc kneighborsclassifier decisiontreeclassifier logisticregression gaussian-naive-bayes-implementation randomforestclassifier adaboostclassifier python3 machine-learning-algorithms pandas scaling-methods outlier-detection imbalanced-data exploratory-data-analysis research
Language:Jupyter Notebook 2
amichaelsen / cooking-cuisine-analysis
Erdos Institute Bootcamp project analyzing cuisines by recipe ingredient lists.
classification clustering cooking cuisines dendrogram hierarchical-clustering kmeans-clustering knearest-neighbors-classifier linearsvc logistic-regression random-forest-classifier recipes
Language:Jupyter Notebook 1
arnabmanna619 / Analyticscosm-Project
Scraping data through Instagram and using the data to build a predictive model
instagram instagram-scraper instaloader classification-model svc-svm linearsvc scraper predictive-modeling
Language:Jupyter Notebook 1
jerrycyng / Natural-Language-Processing-Classification-and-Clustering
NLP Classification and Clustering with spam SMS dataset
nlp-machine-learning clustering classfication naive-bayes-classifier svc-svm tfidf-vectorizer linearsvc sgd-classifier gridsearchcv seaborn
Language:Jupyter Notebook 1
lmihaig / EuroparlClimateVotes
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€
binaryclassification climate-change linearsvc xml-parsing
Language:Jupyter Notebook 1
mbfakourii / Drug-Score-Rating
Implementation of Drug database with LinearSVC, BernoulliNB, MultinomialNB, LogisticRegression, Perceptron and MLPClassifier models
bernoullinb drug-database linearsvc logisticregression mlpclassifier multinomialnb perceptron python sklearn
Language:Python 1
Nazliozum / breast_cancer
A mini ML project of feature and model selection on breast cancer data
machine-learning linearsvc breast-cancer-wisconsin
Language:Jupyter Notebook 1
Raghuls-github / Movie-Genre-Classification
Movie genre classification in NLP using multinomial navie bayes classification and linear support vector classification.
linearsvc natural-language-processing navie-bayes-algorithm count-vectorizer genre-classification navies-bayes-classifer tfidf-vectorizer classification-algorithims
Language:Jupyter Notebook 1
shreddy-sudo / machinelearning-amazonreviews
Dartmouth COSC 274: Machine Learning models for Amazon Reviews dataset
binary-classification clustering kmeans-clustering linearsvc logistic-regression machine-learning multiclass-classification multinomial-naive-bayes python stochastic-gradient-descent supervised-learning unsupervised-learning nlp-machine-learning
Language:Jupyter Notebook 1
srl123 / Covid19-Fake-News-Detection
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
machine-learning-algorithms python3 classifier-training kaggle-dataset pandas numpy sklearn matplotlib passiveaggressiveclassifier multinomial-naive-bayes linearsvc stochastic-gradient-descent tfidf-vectorizer
Language:Jupyter Notebook 1
VarshithaCVasireddy / Fake_News_Detection
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
nltk python regex distilbert gpt2 huggingface knn-classification linearsvc random-forest roberta-large transformer-based-language-models
Language:Jupyter Notebook 1
wolfsinem / product-tagging
Part of an internal project for my internship
linearsvc machine-learning nltk product tagging tfidfvectorizer
Language:Jupyter Notebook 1
AminKhavari78 / -Maternal-Health-Risk-Data-Set
In this part I'm working on Maternal Health Risk Prediction
linearsvc matplotlib numpy scatter-plot sklearn data-science machine-learning pandas
Language:Jupyter Notebook 0
angelophysis / classificacao_cachorro_ou_porco
python vitrinedev classification linearsvc machine-learning machinelearning scikit-learn
Language:Jupyter Notebook 0
jmarihawkins / sms_spam_detector
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.
data-preprocessing data-science gradio machine-learning natural-language-processing nlp nlp-machine-learning python scikit-learn spam-detection text-classification linearsvc vectorization tf-idf-vectorization
Language:Jupyter Notebook 0
Kumarinishu / DSIP-TASK-1-Data-Science-Internship-
DevStack Solution Internship Program "Data Science Internship" Task-1 on Fake news detecting system using python and machine learning
python machine-learning vscode jupyter-notebook csv linearsvc logistic-regression multinomial-naive-bayes
Language:Jupyter Notebook 0
MusaMasango / Credit-Card-Fraud-Detection-Project
The aim is to create a classifier that indicates whether a requested transaction is genuine or fraudulent.
data-science dataanalysis datavisualization machine-learning pandas-python classification decisiontreeclassifier gaussiannb knn-classifier linearsvc logisticregression python3 random-forest-classifier
Language:Jupyter Notebook 0
quaziadib / Identifying-Offensive-Language-in-Social-Media
deep-learning linearsvc machine-learning sklearn tensorflow tf-idf
Language:Jupyter Notebook 0
SmridhVarma / Fake-News-Detection
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.
bagofwords fakenewsdetection linearsvc naive-bayes-classifier scikit-learn streamlit-webapp tfidf-vectorizer live
Language:Jupyter Notebook 0
Torsha-Sett / Binary-Sentiment-Classification
Application of LSTM on imdb dataset for sentiment classification problem
linearsvc logistic-regression lstm multinomial-naive-bayes text text-analysis text-classification
Language:Jupyter Notebook 0
abideen-olawuwo / breastcancer
A Breast Cancer Prediction Model
adaboostclassifier catboost-classifier decision-tree-classifier kneighborsclassifier linear-regression linearsvc numpy pandas random-forest-classifier seaborn sklearn xgboost-classifier
Language:Jupyter Notebook
AdityaKumar-01 / irisDeployed
A flask app to prdict iris flower using LinearSVC deployed on heroku
heroku-deployment iris-dataset flask-application linearsvc
Language:Jupyter Notebook
allanphil / Company-Bankruptcy-Prediction
This project aims to determine the likelihood of a company facing bankruptcy, a crucial aspect of financial analysis and investment decision-making.
finance financial-analysis fintech bankruptcy-prediction decision-trees gradient-boosting knearest-neighbor-classifier linearsvc logistic-regression mlp-classifier randomforestclassifier
Language:Jupyter Notebook
harmanveer-2546 / Titanic-Survival-prediction-with-20-Algorithm
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.
calibrated-predictions extratreesclassifier lgb linearsvc matplotlib mlpclassifier numpy os outlier-detection pandas passiveaggressiveclassifier prediction python ridgeclassifier seaborn sgdclassifier titanic-kaggle titanic-survival-prediction
Language:Jupyter Notebook
Luiggi-piero / python-sklearn-curso-5
Machine Learning clasificación con SKLearn
decisiontreeclassifier linearsvc python sklearn standardscaler svc
Language:Jupyter Notebook

linearsvc

rahul-38-26-0111-0003 / Network-based-Intrusion-Detection-Systems

Solvve / ml_job_classifier

shreyaswankhede / Sentiment-Analysis-on-Online-Product-Reviews

SkyThonk / Movie-Reviews-Sentiment-Analysis

jeongwhanchoi / object-detection

Erdos1729 / text-classification-ml

athrvkk / UCI-Sentiment-Analysis

ibodumas / linearSVM

MohamedSebaie / Arabic_Dialect_Identification_NLP-AIM-Task

RobinSmits / Dutch-NLP-Experiments

daniel-was-taken / Fake-News-Detection

KarthikMurugadoss1804 / Prediction-of-customer-churn

amichaelsen / cooking-cuisine-analysis

arnabmanna619 / Analyticscosm-Project

jerrycyng / Natural-Language-Processing-Classification-and-Clustering

lmihaig / EuroparlClimateVotes

mbfakourii / Drug-Score-Rating

Nazliozum / breast_cancer

Raghuls-github / Movie-Genre-Classification

shreddy-sudo / machinelearning-amazonreviews

srl123 / Covid19-Fake-News-Detection

VarshithaCVasireddy / Fake_News_Detection

wolfsinem / product-tagging

AminKhavari78 / -Maternal-Health-Risk-Data-Set

angelophysis / classificacao_cachorro_ou_porco

jmarihawkins / sms_spam_detector

Kumarinishu / DSIP-TASK-1-Data-Science-Internship-

MusaMasango / Credit-Card-Fraud-Detection-Project

quaziadib / Identifying-Offensive-Language-in-Social-Media

SmridhVarma / Fake-News-Detection

Torsha-Sett / Binary-Sentiment-Classification

abideen-olawuwo / breastcancer

AdityaKumar-01 / irisDeployed

allanphil / Company-Bankruptcy-Prediction

harmanveer-2546 / Titanic-Survival-prediction-with-20-Algorithm

Luiggi-piero / python-sklearn-curso-5