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Ismiel Abir
Ismiel Abir

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Machine Learning Developmental Life Cycle

For development any machine learning project you can follow below life cycle:

  1. Identify/Frame the problem
  2. Gather or collect data
  3. Data preprocessing
  4. Exploratory data analysis
  5. Feature engineering and selection
  6. Model training, evaluation and selection
  7. Testing
  8. Deployment

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