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GitHub topics: linearsvc-model

aryanbadiee/Website-Categorization

Recognizes the subject of websites

Language: Python - Size: 15.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 3

jeopetto/LinearSVC-SpamClassification

E-mail classification using LinearSVC algorithm

Language: Python - Size: 1.85 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

mudraverma65/HarmonizingHearts

Harmonizing Hearts: A Music-Based Compatibility Analysis

Language: Jupyter Notebook - Size: 120 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Ashwin0229/Collaborative-Filtering-K-nearest-neighbors-and-SVM

Using Collaborative Filtering predicting Movie Rating and K-nearest Neighbours & SVM algorithms for Number ClassificationNumber Classification

Language: Python - Size: 95.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Warpedro1/intro_machine-learning_classification

This Jupyter Notebook serves as a comprehensive guide to performing support vector machine (LinearSVC) classification and calculating accuracy scores for machine learning tasks. It provides step-by-step instructions and code examples for building, training, and evaluating a LinearSVC classifier

Language: Jupyter Notebook - Size: 715 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

rochitasundar/Twitter-Sentiment-Analysis

Data consists of tweets scrapped using Twitter API. Objective is sentiment labelling using a lexicon approach, performing text pre-processing (such as language detection, tokenisation, normalisation, vectorisation), building pipelines for text classification models for sentiment analysis, followed by explainability of the final classifier

Language: Jupyter Notebook - Size: 3.71 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0

DanielePassabi/Uni_NLP2022_Exam

Repo for the exam of the course 'Introduction to ML for NLP'

Language: Jupyter Notebook - Size: 12.3 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

LenSin3/Conservatory-CovidTweetsSentiments

Develop Machine Learning models to predict sentiments on COVID-19 tweets.

Language: Jupyter Notebook - Size: 85.5 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

Related Keywords
linearsvc-model 8 python 3 machine-learning 3 gridsearchcv 2 regex 1 random-forest 1 pipeline 1 multinomial-naive-bayes 1 lemmatization 1 feature-importance 1 sklearn 1 seaborn 1 pandas 1 numpy 1 matplotlib-pyplot 1 svc 1 beautifulsoup4 1 sentiment-classification 1 stemming-porters 1 stratified-sampling 1 textblob 1 tfidfvectorizer 1 xgboost-model 1 cnn 1 lstm 1 natural-language-processing 1 text-classification 1 analysis 1 countvectorizer 1 tweets 1 nlp 1 scikit-learn 1 webscraping 1 classification-algorithm 1 gmail-api 1 spam-classification 1 svc-svm 1 svm-classifier 1 clustering 1 compatibility 1 decision-trees 1 feedforward-neural-network 1 knearest-neighbor-algorithm 1 random-forest-classifier 1 spotify 1 collaborative-filtering 1 f1-score 1 k-nearest-neighbor-classifier 1 machine-learning-algorithms 1 mean-absolute-error 1 mean-square-error 1 precision-recall 1 python3 1 sklearn-library 1 support-vector-machine 1