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#

sgd-classifier

Here are 82 public repositories matching this topic...

COVID19-Literature-Clustering

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

  • UpdatedNov 2, 2021
  • HTML

Contains code for a voting classifier that is part of an ensemble learning model for tweet classification (which includes an LSTM, a bayesian model and a proximity model) and a system for weighted voting

  • UpdatedMay 8, 2018
  • Python

The objective of this project is to classify whether upcoming product will have positive or negative Sentiment.

  • UpdatedMay 18, 2019
  • Jupyter Notebook

Classifying a website based on it's URL. I've implemented Stochastic Gradient Descent, Multinomial Naive Bayes and Convolutional Neural Network for classifying the category of the URL.

  • UpdatedJul 14, 2020
  • Jupyter Notebook

A model that could accurately predict the Industry Domain for different start-ups and companies based on descriptions, titles and categories.

  • UpdatedFeb 13, 2018
  • HTML

Multiclass classification of Youtube videos using text mining.

  • UpdatedJan 24, 2023
  • Jupyter Notebook

This project presents Hera, an Operating System level voice recognition package that understands voice commands to perform actions to simplify the user’s workflow. We propose a modernistic way of interacting with Linux systems, where the latency of conventional physical inputs are minimized through the use of natural language speech recognition.

  • UpdatedJul 12, 2022
  • Python

Sharing both theoretical and programing ideas, that I came across at Introduction to Machine Learning course. notes, homework solution and python assignment

  • UpdatedOct 16, 2023
  • TeX

Recognize Handwritten Digits(persian/english) with Neural Networks

  • UpdatedFeb 2, 2019
  • Python

This project detects AI-generated text using an ensemble of classifiers: Multinomial Naive Bayes, Logistic Regression, LightGBM, and CatBoost. It includes robust data preprocessing, model development, and evaluation, ensuring accurate identification of AI-generated content from a diverse text dataset.

  • UpdatedFeb 3, 2024
  • Jupyter Notebook

Paid Promoters Recommender project objective is to make a recommendation system that recommends youtube content creators relevant to ads of advertisers.

  • UpdatedSep 5, 2022
  • JavaScript

Le Machine Learning, aussi appelé apprentissage automatique en français, est une forme d’intelligence artificielle permettant aux ordinateurs d’apprendre sans avoir été programmés explicitement à cet effet.

  • UpdatedOct 22, 2021

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