Which Is Harder in Data Mining Assignments – Classification or Clustering?

I’ve been working on my data mining coursework, and I keep getting stuck on whether classification or clustering is harder to deal with. Personally, classification feels tricky because of the algorithms and accuracy issues, but clustering also confuses me when it comes to grouping large datasets without labels. I know many students face the same struggle, and that’s why some turn to data mining assignment help. For those studying abroad, I’ve heard good reviews about data mining assignment help Australia, where a data mining assignment expert or data mining assignment writer can actually explain the logic behind these concepts instead of just giving solutions. Has anyone here tried such data mining assignment services? Do you think they make understanding classification vs. clustering easier, or is it better to keep practicing on your own?