Asma Rashidian's repositories
Feature-Impact-Ranking-in-Supervised-and-Unsupervised-Learning
This project is focused on evaluating the impact of various features on a labeled dataset to establish a ranking based on their influence on the output labels. The project utilizes both supervised and unsupervised learning techniques to analyze and rank features according to their importance and impact on classification results.
COVID-19-Topic-Clustering-Project
The primary goal of this project is to cluster the COVID-19 dataset into meaningful topics using advanced NLP techniques. By implementing the methods outlined in the article "BERT and clustering integrated modeling topic improved framework," we aim to uncover significant relationships between the variables in the dataset.
Twitter-Sentiment-Analysis-Project
The goal of this project is to leverage classification models to analyze and predict sentiments expressed in Twitter posts. Using a structured approach, the project aims to preprocess data, train sentiment analysis models, and evaluate their performance rigorously.
Predicting-Cancer-and-Liver-Disease-Using-NHANES-Dataset
The goal of this project is to build regression models to predict the occurrence of cancer and liver disease using the National Health and Nutrition Examination Survey (NHANES) data.
Tabnak-news-agency-analysing-system
This is an analyzing system for Tabnak news Agency .