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Personalized Movie Recommender System
This project implements an Item-Based Collaborative Filtering (IBCF) recommendation system that analyzes user movie ratings to generate personalized top-3 movie suggestions. The model identifies similar movies based on rating patterns and recommends unwatched films that align with each user's preferences.
Heatmap y PCA 1
DATA 624 HOMEWORK 8
Applied Predictive Modeling - Chapter 7 Exercises: 7.2, 7.5
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DATA 624 HW8
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624 HW 8
Data 624 HW 8
Número de municipios por año y clúster LISA
4.4. Autocorrelación espacial local (LISA). Figura 4.