09/29/2023

 

We have learnt it is a resampling method to measure the population by doing average from multiple small data samples. In bootstrapping the sample size increases eventually

 

It gives insights about how the variables the model features.

 

Used for assessing model performance well.

 

Steps involved under this are:

• Prepare Data Set
• Implement bootstrapping.
• Assess model performance.
• Optimize Model
• Final model evaluation

 

We can implement by using scikit-learn.

 

Advantages of using Bootstrapping are:

i)Do not require large sample size.

ii)It can handle outliers.

iii)No need of making assumption of data.

iv)Pivoting becomes easier.