Lights, Camera, KNN : Unlocking the Power of Machine Learning for Movie Recommendations

Exploring the Power of K-Nearest Neighbors (KNN) Algorithm to Predict Film Recommendations with Optimized Results

Posted on May 29, 2020

Do you spend countless hours trying to find the right movie to watch? I certainly do! The premise of this project is to predict movie recommendations based on user ratings for films rated 75 or higher. By inputting a movie title into our application, we use the k-nearest neighbors (KNN)... [Read More]

Unveiling the Age-Old Question : How User Rating Scores Correlate with Audience Content Preferences

Insights and Trends from a Direct and Practical Analysis of User Ratings and Content Preferences Across Different Age Groups

Posted on November 21, 2019

Most of us consume content on various platforms and in different ways. Some prefer old-fashioned shows, while others seek out new or trending shows online. Some choose to watch a film or binge-watch their favorite series. This brings us to one of the most popular platforms: Netflix. This platform has... [Read More]