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This repository contains a collection of Jupyter Notebook files for various feature engineering techniques, including missing value handling, encoding, transformation, imbalanced dataset, and outlier detection. Each notebook provides practical examples of methods for handling the corresponding problem.

License: MIT License

Jupyter Notebook 100.00%
encoding feature-engineering missing-values transformation imbalance-dataset outlier-detection

feature-engineering-techniques's Introduction

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Hi 👋, I'm Sanjay Kumar Prasad

A passionate Data Science Enthusiast from India

Actively Looking for an opprtunity. Here is my Resume Visit 🔗

About Me

  • 🔭 I’m currently working on Shipment Price Prediction Project
  • 🌱 I'm currently learning about Genrative AI
  • 👯 I'm looking to collaborate on Data Science Projects
  • 💬 Ask me about Python, Machine Learning, Deep Learning
  • 📝 I regularly write articles on skprasad117.medium.com
  • 📫 How to reach me: [email protected]

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Notes and Study Materials

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