Fake news detection using TF-IDF vectorization and LinearSVC

This repository houses a Streamlit web application for fake news detection. The app allows users to input a news article and predicts whether it is likely fake or real based on its content. It provides options to select different vectorizers (TF-IDF or Bag of Words) and classifiers (Linear SVM or Naive Bayes) to customize the prediction model.

Machine Learning clasificación con SKLearn

In this part I'm working on Maternal Health Risk Prediction

This project was built within 24h by the team Augusteam for the DevHacks 2022 Climate Change hackathon sponsored by Systematic and it won the third place worth 500€

This repository contains a number of experiments with Multi Lingual Transformer models (Multi-Lingual BERT, DistilBERT, XLM-RoBERTa, mT5 and ByT5) focussed on the Dutch language.

Build, train and compare performances of multiple binary classification machine learning model techniques to detect credit card fraudulent transactions.

Long english text passages are given, a genuine topic is needed to be assigned to the particular text passage. After cleaning the dataset, features were learnt using thidf approach, Linear SVC is used to get the final prediction

A Breast Cancer Prediction Model

Developed a project which detects the news either as fake or real. GPT2 transformer model is used to predict the sentiment and genre of news. Classifier Machine Learning models and Hugging Face Transformer-Based language models are used to classify the news

The aim is to create a classifier that indicates whether a requested transaction is genuine or fraudulent.

Dartmouth COSC 274: Machine Learning models for Amazon Reviews dataset

This project aims to determine the likelihood of a company facing bankruptcy, a crucial aspect of financial analysis and investment decision-making.

Exploring different text classification methods

Movie genre classification in NLP using multinomial navie bayes classification and linear support vector classification.

Erdos Institute Bootcamp project analyzing cuisines by recipe ingredient lists.

Application of LSTM on imdb dataset for sentiment classification problem

ML algorithms in Python

Implementation of Drug database with LinearSVC, BernoulliNB, MultinomialNB, LogisticRegression, Perceptron and MLPClassifier models