Miki Bahng's Website

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SAS Machine Learning Project
Research Project Intro Exploratory Data Analysis Data Management Decisions Creating Graphs using SAS Machine Learning - Decision Trees Machine Learning - Random Forests Machine Learning - Lasso Regression Machine Learning - k-means Cluster
R Machine Learning Project

Select your Favorite Movies from the List for Movie Recommendations^*

(Please pick four or more movies that you'd give top ratings if you'd like to get personalized recommendations)

Toy Story (1995) Usual Suspects, The (1995) Pulp Fiction (1994) Shawshank Redemption, The (1994) Forrest Gump (1994) Lion King, The (1994) Silence of the Lambs, The (1991) Beauty and the Beast (1991) 2001: A Space Odyssey (1968) Sound of Music, The (1965) Full Metal Jacket (1987) Groundhog Day (1993) Unforgiven (1992) Jaws (1975) Truman Show, The (1998) Life Is Beautiful (1997) Matrix, The (1999) 10 Things I Hate About You (1999) Ghostbusters (a.k.a. Ghost Busters) (1984) Fight Club (1999) Crouching Tiger, Hidden Dragon (2000) Memento (2000) Mummy Returns, The (2001) Shrek (2001) Moulin Rouge (2001) Pearl Harbor (2001) Alaska: Spirit of the Wild (1997) Zoolander (2001) Serendipity (2001) Amelie (2001) Panic Room (2002) Scooby-Doo (2002) Spirited Away (2001) Ring, The (2002) Pianist, The (2002) Finding Nemo (2003) Eternal Sunshine of the Spotless Mind (2004) Notebook, The (2004) Phantom of the Opera, The (2004) Brokeback Mountain (2005) Little Miss Sunshine (2006) Superbad (2007) 3:10 to Yuma (2007) Dark Knight, The (2008) Up (2009) (500) Days of Summer (2009) Inception (2010) Social Network, The (2010) Avengers, The (2012) Django Unchained (2012)

Four or More Movies Checked?
Click the Submit Button to get Movie Recommendations

^* This Movie Recommendations web App has been built using Python and Flask, by Miki Bahng. It is a Collaborative Filtering Recommender System using Singular Value Decomposition (SVD) Matrix Factorization method and MovieLens Latest Datasets (100,000 ratings over 9,000 movies by 700 users).

Select your Favorite Movies from the List for Movie Recommendations*

Select your Favorite Movies from the List for Movie Recommendations^*