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linear-classifiers

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All 10 Jupyter Notebook 4 Python 4 R 1

JamesLYC88 / text_classification_baseline_code

Star 19

The code for the ACL 2023 paper "Linear Classifier: An Often-Forgotten Baseline for Text Classification".

machine-learning natural-language-processing text-classification support-vector-machines multi-label-classification bert multi-class-classification linear-classifiers pretrained-language-models large-language-models
  • Updated Jun 29, 2024
  • Python

SSQ / Coursera-UW-Machine-Learning-Classification

Star 14

Notebook for quick search

machine-learning logistic-regression adaboost university-of-washington decision-tree stochastic-gradient-descent coursera-course mini-batch-gradient-descent linear-classifiers
  • Updated Jan 31, 2019

IHappyPlant / SMPR

Star 7

Лабораторные работы по предмету "Системы и методы принятия решений"

python machine-learning r svm linear-regression machine-learning-algorithms ml classification r-language gamma nearest-neighbors bayesian-classifiers linear-classifiers loo kwnn stolp metric-classifiers
  • Updated Oct 30, 2022
  • R

seijimorimoto / Parabel

Star 7

Implementation of Parabel (Partitioned Label Trees for Extreme Classification) in Python

text-classification linear-classifiers extreme-multi-label-classification tree-based-approach one-vs-all
  • Updated Aug 20, 2024
  • Python

indrapaul824 / Automatic-Review-Analyzer

Star 6

Implemented and compared three types of linear classifiers to use for sentiment analysis of Amazon product reviews.

sentiment-analysis machine-learning-algorithms perceptron sentiment-classification average-perceptron pegasos linear-classifiers productreviews amazon-product-reviews
  • Updated May 15, 2021
  • Jupyter Notebook

agrawal-priyank / machine-learning-classification

Star 4

Built classifiers using logistic regression and decision trees to classify product reviews and used machine learning techniques such as boosting, precision and recall, and stochastic gradient descent for optimization in Python

python machine-learning coursera classification recall logistic-regression boosting-algorithms university-of-washington machine-learning-coursera precision stochastic-gradient-descent linear-classifiers
  • Updated Jan 20, 2018
  • Jupyter Notebook

jnikhilreddy / Implementation-of-Support-Vector-Machine

Star 2

Contains code involving CS 503 - Lab 3 : Implementation of Support vector Machine.

machine-learning svm support-vector-machine support-vector-machines svm-training svm-learning svm-classifier non-linear-classification linear-classifiers
  • Updated Feb 26, 2020
  • Python

Fazle-Rabby-Sourav / pattern-recognition-basic

Star 1

Perceptron, Pseudo Inverse Linear Classifier, SGD, SVM, Batch Gradient Descent, Minibatch Gradient Descent with tensorflow

classifier svm gradient-descent neural-network-example multilayer-perceptron-network tensorflow-examples linear-classifiers sgd-classifier
  • Updated Nov 22, 2019
  • Python

imarchit19 / Image-Classification-Model-of-the-Apparels

Star 0
machine-learning algorithms dataset fashion-mnist linear-classifiers
  • Updated Sep 12, 2019
  • Jupyter Notebook

alecpippas / Machine-Learning-Portfolio

Star 0

Portfolio of Jupyter Notebooks demonstrating various ML models/concepts learned and developed during my graduate machine learning course and independently post-grad. Generally, a bottom-up modeling approach with Numpy is used to showcase grasp of mathematical foundation. Higher-level libraries (scikit-learn) used for optimized algo implementations.

markov-model gradient-descent kernel-methods polynomial-regression stochastic-gradient-descent simple-linear-regression linear-classifiers kernel-ridge-regression model-order-selection multiple-linear-regression support-vector-machines-svm autoregressive-text-generation linear-time-delay-regression
  • Updated Apr 17, 2026
  • Jupyter Notebook

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