title: Data science: How to find patterns and correlations in two datasets in python
body: <p>I have two large datasets. Let's say few thousands rows for V dataset with 18 columns. I would need to find correlations between individual rows (e.g., row V125 is similar to row V569 across the 18 columns). But since it's large I don't know how to filter it after. Another problem is that I have B dataset (different information on my 18 columns) and I would like to find similar pattern between the two datasets (e.g., row V55 and row B985 are similar, V3 is present only if B45 is present, etc...). Is there a way to find out? I'm open to any solutions. PS: this is my first question so let me know if it needs to be edited or I'm not clear. Thank you for any help.</p>