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Phishing attacks have grown to be a big problem for people and businesses in the modern digital age.SMS messages are one of the most widely used channels for phishing attempts.This project seeks to investigate the application of cutting-edge machine learning and NLP methods for the identification of phishing SMS (smishing) messages.
Streamlit web app using custom ML models (multiple linear regression and one-to-many multiclass kernel SVM) for predicting real estate prices; Scraping and analyzing real estate listings in Serbia
Indian StockPrediction WebApp [See Master Branch] : Build this web application using streamlit& deployed on streamlit which predict stock trend using facebook/meta prophet algorithim ,getting data from yahoo finance
streamlit is an open-source app framework for Machine Learning and Data Science teams. Create beautiful data apps in hours, not weeks. All in pure Python
Aplicación desarrollada con Streamlit que permite visualizar y comprender el funcionamiento básico de una neurona artificial mediante entradas, pesos y sesgo.
PriceGenie AI revolutionizes product pricing through advanced machine learning, providing businesses with intelligent, data-driven pricing strategies that maximize profit while remaining competitive
📊 DataXplorer – An interactive data analysis and visualization app built with Streamlit. Upload datasets, explore data, compute value counts, apply group-by operations, and generate various plots effortlessly.
Este projeto consiste em uma aplicação Python para extrair dados de municípios brasileiros do Instituto Brasileiro de Geografia e Estatística (IBGE) e dados de casos de dengue do sistema InfoDengue. Os dados são então transformados e carregados em um banco de dados PostgreSQL para análise posterior e criação de um dashboard.
This project builds a Machine Learning model to predict medical insurance charges based on individual attributes such as age, BMI, smoking status, number of children, sex, and region