Data Preprocessing Code Cardio Data set || Lesson 34 || Machine Learning || Learning Monkey ||

Published: 09 April 2020
on channel: Wisdomers - Computer Science and Engineering

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In this class, we discuss the Data Preprocessing code on the cardio data set.
Here we do coding for data preprocessing code on cardio data set.

In our previous 20 classes, we discussed different methods required for data cleaning and data preprocessing.

Our assumption here is you watched all the concepts.

In the cardio data set, we had numerical data and categorical data.

Numerical should be scaled down.

We using min-max scaling in this code.

Take an assignment to convert numerical to normalization, or Standardization.

We scale down all numerical data using min-max scaling.

All categorical features should be converted to one-hot encoding.

Binary value features can be left as it is.

After converting all the features in the above-mentioned format.

We have to join all the converted features.

This join is made by hstack class.

The code is provided below.

Link to DATA FILE: https://www.mediafire.com/file/oo0f8e...
Link to PYTHON CODE: https://www.mediafire.com/file/ad6vkc...

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