How do I choose the right model after performing EDA?

I've completed my exploratory data analysis. How do I choose the right model now?

Great job on completing your EDA! The next step is to consider the nature of your data and the problem you're solving.

What factors should I consider when selecting a model?

You should consider the type of problem (classification or regression), the size of your dataset, and the features you've identified.

Are there specific models you recommend for different scenarios?

Yes! For classification, you might try logistic regression or decision trees. For regression, consider linear regression or random forests.

How do I evaluate which model performs best?

You can use metrics like accuracy, precision, recall for classification, and RMSE or R-squared for regression. Cross-validation is also key!