KNN CLASSIFICATION LECTURE

Attention All,

The hyperlink below contains the lec of data Mining KNN CLASSIFICATIon.

KNN CLASSIFICATION LECTURE

Source: Dr Syed Muhammad Zubair Rehman Gillani.

Thanks and Regards

M.Ahad Jahanzeb Bajwa Singh

Assignment # 1 and 2 Data Mining

Assignment # 1

Q1) APPLY MAD NORMALIZATION ON HEART DISEASE CLASSIFICATION DATA SETS.
NOTE: DOWNLOAD DATASETS FROM UCI MACHINE LEARNING REPOSITORY.

Q2) WHAT ARE OUTLIERS IN A DATASETS NORMALIZATION. HOW WE AVOID OUTLIERS AND WHICH NORMALIZATION METHOD IS BEST FOR AVOIDING OUTLIERS.

ASSIGNMENT # 2

Q1) IDENTIFY AND USE BUILTIN NORMALIZATION METHODS FOR DETAILS IN MATLAB?

Q2) HOW TO ADD MISSING VALUES IN A DATASETS. ALSO ELABORATE THE METHOD FOR REPLACING MISSING VALUES IN A DATA SETS?

DEADLINE: 03/04/2018.
SOURCE: DR. SYED MUHAMMAD ZUBAIR REHMAN GILLANI.

THANKS AND REGARDS

M.AHAD JAHANZEB BAJWA SINGH

Set up of Phython and lec 1 and 2 of datamining

Set up of Phython and lec 1 and 2 of datamining

Intrnet Architecture and Protocol Google Classroom code

https://classroom.google.com/c/MTIyMzMyNDAxNTFa

Code: d0aoz9o

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