This repo contains code on study of a covid long-hauler group
CountVectorizer aim to help convert a collection of text documents to vectors of token counts.
QnA system using BERT
The project is designed to predict the strength of a password entered by the user using a Machine Learning Algorithm. Implemented in an end-to-end manner using the Flask framework.
The project is designed to recommend the products based on the previous user experience of the products used using a Kmeans Algorithm.
Classifier which uses Vectorizers to detect Fake news
Classify digital ad data from different sources.
Fake News Detection** is a natural language processing task that involves identifying and classifying news articles or other types of text as real or fake.
This model performs feature-extraction on the given dataset on the basis of polarity, wordclouds and by removing non-essential words, next it builds a vectorizer which turns the list of words into an array of numbers and then it classifies the reviews into negative or positive based on the keywords of the review.
This repository contains the Machine Learning capstone project for my SGUSDA course, using Python to build a fake news classifier.
The flask api for the pro-grepper. It preprocess the problem statement, fit the vectorizer and predict on the model (label powerset with random forest). It returns JSON object in response.
Fake News Detection Using Machine Learning In Python.
This repo contains the movie recommender system which uses vectorization, cosine similarity distance methods to calculate the most similar content based on movie tags/info.
Sentiment Analysis
php C-extension for vectorizing images
Using term frequency-inverse document frequency (tf-idf) to analyze an article’s content.
Practice Rust by making Vectorizer
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