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Data Preprocessing in ML #124

Merged
merged 4 commits into from
Aug 8, 2021
Merged

Data Preprocessing in ML #124

merged 4 commits into from
Aug 8, 2021

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dilroseR
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@dilroseR dilroseR commented Aug 6, 2021

Related Issue

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  • DevIncept Participant

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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

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

How Has This Been Tested?

Tested manually on my PC

Checklist:

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

@prathimacode-hub prathimacode-hub changed the title data pre processing in ml Data Preprocessing in ML Aug 7, 2021
@prathimacode-hub prathimacode-hub added DCP21 This issue will be considered for DCP21 To Do Update Pending labels Aug 7, 2021
@dilroseR
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dilroseR commented Aug 7, 2021

can you review this pr?

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@prathimacode-hub prathimacode-hub left a comment

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Changes to be done:
Follow the README template given. It needs more data and elaboration to justify this repo.
Add all the .csv files in "Dataset" folder created.
Add appropriate comments in code files to get good understanding of the topic.

Kindly do these changes. @dilroseR

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Kindly do the changes. @dilroseR

@dilroseR
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dilroseR commented Aug 8, 2021

done

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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

@dilroseR
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dilroseR commented Aug 8, 2021

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
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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

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dilroseR commented Aug 8, 2021

updated

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Yup, PR approved. Great job. Well done. Your efforts are appreciated. Kindly don't forget to fill up the form for the same using right PR link. 🏆👏@dilroseR

@prathimacode-hub prathimacode-hub added the 🟨 Level2 This issue will be considered as level 2 issue for DevIncept 21. Points will be 15 label Aug 8, 2021
@prathimacode-hub prathimacode-hub merged commit f355be3 into prathimacode-hub:main Aug 8, 2021
@prathimacode-hub prathimacode-hub removed the To Do Update Pending label Aug 10, 2021
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Data Preprocessing in ML
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