Data Preprocessing in ML

[dilroseR]

Related Issue

• Info about the related issue

  • [x] DevIncept Participant
  • [x] Contributor

Closes: #110

Describe the changes you've made

Created .ipynb files and a readme.md file explaining data preprocessing in ml data preprocessing in:

• numerical data
• categorical data

Type of change

• [x] New feature (non-breaking change which adds functionality)

How Has This Been Tested?

Tested manually on my PC

Checklist:

• [x] My code follows the guidelines of this project.
• [x] I have performed a self-review of my own code.
  • [x] I have commented my code, particularly wherever it was hard to understand.
• [x] My changes generate no new warnings.

[dilroseR]

can you review this pr?

[prathimacode-hub]

Kindly do the changes. @dilroseR

[dilroseR]

done

[dilroseR]

This repo focuses beginners so we need to include all information in README.md Add advantages, disdvantages, applications, screenshot of output or visualizations and references. Add good number of references for beginners to understand this concept briefer.

Kindly do these changes. @dilroseR

i've created my own dataset and applied all the coding by my own. i don't have any reference . rest all i can do. kindly excuse me with the reference part

[prathimacode-hub]

This repo focuses beginners so we need to include all information in README.md Add advantages, disdvantages, applications, screenshot of output or visualizations and references. Add good number of references for beginners to understand this concept briefer. Kindly do these changes. @dilroseR

i've created my own dataset and applied all the coding by my own. i don't have any reference . rest all i can do. kindly excuse me with the reference part

References means not the ones you referred, references means what beginners can refer for knowing the concepts in more deep. @dilroseR

[dilroseR]

updated