Movie Recommendation System: Project using R and Machine learning

Hybrid Recommendation System for car selling. Developed in R language using Neo4J database.

The app is created to suggest an episode of Kargin Haghordum based on the user's interests. The user needs to pass a quiz, and based on the quiz results, the system will recommend an episode. The app also has a search bar for quotes and data analytics.

The goal of this project is to use different Machine Learning algorithms to try to predict the rating that an user will give to a movie. To achieve this, we will use the Machine Learning models and statistics that we have learnt during the Data Science course and we will finally choose the one that gets the minimum RMSE number. The dataset is al…

Movie Recommendation System Project using ML in R

This project aims to conduct sentiment analysis on Twitter data to analyze the sentiment towards Zomato and Swiggy, two prominent food delivery partners in the Indian market. By analyzing tweets related to these platforms, the project seeks to understand the overall sentiment of users and compare the sentiment between the two brands.

A shiny Dashboard for analysis of Online courses stats and recommendation system appropriate courses for the learner

A movie recommendation system built in R.

Movie Recommendation System with Machine Learning

Recommends movies by using data from movie lens.

Data Analytics

HarvardX: PH125.9x: Data Science - Capstone Movielens Project

This program demonstrate the recommendation system concepts

Homework assignments from the course, Big Data. Topics covered include: data warehousing, linear regression, NLP, KMeans, TF-IDF, PCA, decision trees, data cleaning, and recommendation systems - UBCF and IBCF. The assingments were completed with the following tools: R, RStudio, DataGrip, MySQL, and R libraries such as ggplot2, recommenderlab, qu…

Shiny App which recommends item based on your current chosen items.

build a movie recommendation system

Generate product recommendations from past purchase history using Apriori algorithm using R.

MovieLens dataset analysis and machine learning model creation

Building a recommendation system of movies based on user rating