Binning Method for Data Smoothing |Bin Mean|Bin Boundary|Bin Median| Data Ware-house and Data Mining

Описание к видео Binning Method for Data Smoothing |Bin Mean|Bin Boundary|Bin Median| Data Ware-house and Data Mining

------------------------------------------------------------------------------------------------------------------------
Exam question for binning example is solved in this lecture of binning method inData Ware-house and Data Mining in bangla. Binning is used in data cleaning to handle noisy data in data mining, so likewise data mining is same as binning in data warehouse and binning in data science or machine learning.
Hello, Students
This is 3rd lecture of Data Ware-house and Data Mining tutorial for beginners inbangla series. In end of previous lecture 2, Chi-Square Test for Nominal Data , and today in this lecture, an important exam question of binning method in data mining examples is solved step by step.

Please follow my channel.

After watching this video, all your following queries will be solved;
=====================================================================
1- what is binning method in data mining in hindi and urdu?
2- What is the purpose of binning in data mining?
3- Is binning a data reduction technique to remove noisy data?
4- What does binning data mean in data mining?
5- How do you calculate bin boundaries in binning method?
6- how to smooth the data by bin boundaries in bining method?
7- what are binning methods for data smoothing in data mining ?
=====================================================================
Q. what is binning method in data mining ?
Binning or discretization is the process of transforming numerical variables into categorical counterparts. An example is to bin values for Age into categories such as 20-39, 40-59, and 60-79. Numerical variables are usually discretized in the modeling methods based on frequency tables (e.g., decision trees).
===========================================================================================================================
Data Ware-house and Data Miningall Note's: https://drive.google.com/drive/folder...

Комментарии

Информация по комментариям в разработке