This project is based on detecting phishing/fraud/malicious website using Random Forest Classification formula. Implemented using Python programming language and Django framework.
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Learn to use Support Vector Machines in Python(sklearn) and R
A machine learning project that classifies emails as spam or not spam using Logistic Regression, ...
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
🔒💳 𝗢𝗻𝗹𝗶𝗻𝗲 𝗣𝗮𝘆𝗺𝗲𝗻𝘁 𝗙𝗿𝗮𝘂𝗱 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 is a data science project that uses machine learning to identif...
Fraudulent Credit Transaction detection system using SMOTE, Random Forest Classifier and Streamlit
DATA-SCIENCE-INTERNSHIP-PROJECT
Проект по теме "Обучение с учителем" Яндекс.Практикума
Starter repository for Manning LP: Use Machine Learning to Detect Phishing Websites
Deploying Classification Model on GCP for detecting anomalous behavior in credit-card transaction...
Robust credit risk model that go beyond traditional credit scoring methods in banks
A university project related to data mining lesson on StackOverflow website data with Python lang...
This repository consists of all my Machine Learning Projects.
Source code for A Study on Rumour Detection on Online Social Networks final year research project
Experiments to detect phishing websites using neural networks
This repo contains the projects made for the course of Jose Portilla on Udemy.