Predictive Analysis of Netflix User Data Using a Hybrid Model of Naive Bayes Classifier and K-Means Clustering

Key Points

• This predictive analysis reveals improved insights into Netflix viewing habits.
• The model accurately classifies user preferences using algorithms like naive bayes and k-means clustering.
• Hybrid model methods leverage the strengths of both naive bayes and k-means for comprehensive user data analysis.
• The findings may enhance user experience by personalizing content recommendations based on behavior patterns.