Recommender system based on Goodreads book reviews using similarity metrics
Built a recommender system based on book reviews from Goodreads using similarity metrics (Jaccard, Cosine, Pearson Correlation) and latent factor models thru Python
Designed predictors and classifiers for large datasets through regression and dimensionality reduction (PCA)
Optimized predictive models based on regularizers and reducing MSE or BER