P

A P Problem is the one which can be solved in polynomial time. It consists of solving the actual problem in polynomial time.

NP

Non-deterministic Polynomial
A problem is NP, if its solution can be verified in polynomial time. Note that we are only talking about verifying the problem and not actually solving it.

Non-Deterministic means that algorithm needs to guess the right solution .

The question of whether P is equal to NP, denoted as P = NP, remains one of the most famous unsolved problems in computer science. It asks whether every problem for which a solution can be verified in polynomial time can also be solved in polynomial time. In other words, it asks whether every problem in NP is also in P.

Open question: Does P = NP? No, P ≠ NP

NP-Hard

A given problem is NP-Hard if all NP problem can be polynomial time reduced to it.
Such as Hamiltonian Cycle.
Any NP problem can be reduced to HC in polynomial time.
It’s important to note that NP-hard problems themselves may or may not be in NP. Some NP-hard problems may not have solutions that can be efficiently verified.

gcd(m, n)

NP-Complete

If a given problem is NP as well as NP-Hard, then it is NP-Complete.

Resource

Deep Looks into P, NP, NP-Hard and NP-Complete Problems.pdf