Preparing Data for Machine Learning Models

Preparing Data for Machine Learning Models

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- Introduction to the Industry Session

1 of 8

1 of 8

- Introduction to the Industry Session

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Preparing Data for Machine Learning Models

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  1. 1 - Introduction to the Industry Session
  2. 2 - Data Leakage
  3. 3 - How to prevent Data Leakage?
  4. 4 - Building Pipelines
  5. 5 - k-Fold Cross-Validation
  6. 6 - Data Balancing Techniques
  7. 7 - SMOTE
  8. 8 - Case Study for "Ed-Tech Company hiring data Scientists"

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