How do I choose observables in data science?

How do I choose observables in data science?

Choosing observables involves identifying the key variables that influence your model's performance. Start by understanding your problem domain.

What factors should I consider when selecting these observables?

Consider factors like relevance to the target variable, data availability, and the potential for multicollinearity among observables.

Can you give me an example of relevant observables for a sales prediction model?

Sure! Relevant observables might include historical sales data, marketing spend, seasonality, and customer demographics.

How do I handle missing data in my observables?

You can handle missing data by using techniques like imputation, removing missing values, or using algorithms that support missing data.