A model that classifies tweets into 2 classes (informative/non-informative) in the context of Covid-19
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Updated
Sep 10, 2021 - Jupyter Notebook
A model that classifies tweets into 2 classes (informative/non-informative) in the context of Covid-19
This is our capstone project in which we increase our external company Jobs for Humanity's job search accuracy and find out new job roles through unsupervised clustering.
Personal collection of examples and tests of libraries and how to use them. Dummy code dump folder.
All the computations that one need to replicate the results described in my thesis.
A django application that allows you to summarize the content of a press article found by a user. It uses the T5 model for summarization, the LDA algorithm for topic modeling and Selenium to scrape the content of the linked article.
Predicting UK e-petition signatures using NLP and social media analytics
Multivariate analysis for glass type dataset. Techniques applied: PCA, LDA/QDA and clustering
ML Projects
App that builds a Latent Dirichlet Allocation (LDA) model based on a corpus of songs and then compares 2 arbitrary songs against the model and each other to determine if they are about the same topic
This repository contains the mains Machine Learning Models, both theory and applications. For instance, Lineral Regression Model, Lineral Classification Model, Neural Network, Random Forest, Unsupervised Learning, and so on.
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