1. Explain Supervised Learning with examples
2. Explain unsupervised learning with suitable examples
3. Compare supervised and unsupervised learning on any 8 points.
4. What is loss function?
5. What is overfitting and underfitting?
6. Explain gradient decent algorithm also state the main purposes of this algorithm.

Xi	Yi
1	1
3	3
5	4
7	3
9	5
25	16

1. Find the values of m and c of the equation Y=mX+c using gradient decent for the data table given as follows 

1. Explain gradient boosting in brief.
2. Compare ada-boost and gradient boost on any two points.