Semester project for Tishreen university.

Premier Experience for Loyal eCommerce Customers

This Project Book Recommendation System Develop Using Streamlit and It Contains User-Based Collaborative Filtering & Top Rating of Books.

This repository contains the content-based & collabroative filtering methods of a recommendation system

Movie Recommendation System

my final year project for bachelor degree in Computer Engineering

Movie Recommendation System Using Two approaches Collaborative Filtering ( CF ) & Content-Based Filtering ( CBF )

A 4th semester exploratory project that utilizes collaborative filtering and content-based techniques to recommend movies based on user preferences and viewing history. The system analyzes user data and movie attributes to deliver personalized movie suggestions.

Movie Recommendation System

Build a book recommendation system webapp that best predicts the user interests and recommend the suitable books to them, using various approaches. Python Flask framework is used here.

Data Science/Machine Learning Project

FIT5212 Grade: High Distinction