Contents
#1. What is the full form of SMO?
#2. Track user behavior in real-time to capture their current interests and preferences.
#3. What is the recommended image size for Facebook posts?
#4. Identifying customers who are likely to churn or stop using a product or service.
#5. Introduction to the challenges and techniques of analyzing large-scale and complex datasets.
#6. Which techniques can be used to extract insights from text data.
#7. What allows for data-driven decision making by comparing the performance of different approaches.
#8. Linear Regression is the supervised machine learning model in which the model finds the best fit between the independent and dependent variable.
#9. Predicting the potential value a customer will bring to business over their entire relationship
#10. Which modeling techniques to build models that predict customer behavior.
Results
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