# 'When a gay brainiac with OCD questions his identity, he enters a romantic relationship with a woman, leaving sex and physical intimacy out of it.' # 'When a confident college professor is courted by four eligible and well-established men, she struggles to decide who she likes the best.' # 'After faking his death, a tech billionaire recruits a team of international operatives for a bold and bloody mission to take down a brutal dictator.' # 'Monstrous frights meet hilarious reveals on this hidden-camera prank show as real people become the stars of their own full-blown horror movie.' Pacenstein schemes to swap bodies with Pac during a Halloween party, Spiral, Cyli and Count Pacula scramble to save their pal.' What do the descriptions look like? It is always a good idea to actually look at your data before modeling. Is a TV show or a movie based on its description in this week’s #TidyTuesday dataset. Our modeling goal is to predict whether a title on Netflix Here is the code I used in the video, for those who prefer reading instead of or in addition to video.
