https://github.com/nitor-infotech-oss/aiml-data-processing

Data Processing Algorithms
https://github.com/nitor-infotech-oss/aiml-data-processing

aiml numpy pandas scikit-learn

Last synced: 5 days ago
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Data Processing Algorithms

• Host: GitHub
• URL: https://github.com/nitor-infotech-oss/aiml-data-processing
• Owner: nitor-infotech-oss
• Created: 2021-08-18T10:58:11.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-08-22T14:33:17.000Z (over 3 years ago)
• Last Synced: 2024-12-05T15:11:46.116Z (2 months ago)
• Topics: aiml, numpy, pandas, scikit-learn
• Language: Jupyter Notebook
• Homepage:
• Size: 10.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

  

## Feature Engineering & Data Preprocessing

Feature engineering consists of the creation of features whereas preprocessing involves cleaning the data. ... It might help you in preventing under- and overfitting by having a better understanding of the features that you use

- [Feature Engineering](https://github.com/nitor-infotech-oss/aiml-data-processing/blob/main/Feature%20Engineering.ipynb)

- [Machine Learning and Data Preprocessing](https://github.com/nitor-infotech-oss/aiml-data-processing/blob/main/Machine%20Learning%20and%20Data%20Preprocessing.ipynb)

- [Machine Learning and Data Preprocessing Dataset](https://github.com/nitor-infotech-oss/aiml-data-processing/blob/main/Data1.csv)  

## Requirements

 - Python 3.6+

 - NumPy (pip install numpy)

 - Pandas (pip install pandas)

 - Scikit-learn (pip install scikit-learn)