What are some advanced techniques in predictive analytics?
Advanced techniques in predictive analytics include machine learning algorithms, time series analysis, and ensemble methods.
Can you explain how ensemble methods work?
Ensemble methods combine multiple models to improve prediction accuracy. Techniques like bagging and boosting are common.
What is the difference between bagging and boosting?
Bagging reduces variance by averaging predictions from multiple models, while boosting focuses on correcting errors from previous models.
How do I choose the right predictive model for my data?
Choosing the right model depends on data characteristics, the problem type, and performance metrics. Experimentation is key.
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