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3rt4nm4n/NLP_ML_steps.md

Last active September 16, 2022 21:45
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Steps to follow in a natural language processing machine learning model development
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NLP_ML_steps.md

NLP Machine Learning Model Development Steps:

  1. Library import (nlp, numpy, pandas, matplotlib, seaborn etc.)
  2. NLTK downloads (checking packages' status)
  3. Importing data
  4. Data analysis (EDA)
  5. Converting target/classes to int class type (Like orange : 0, red : 1)
  6. Converting dtype text data to string type with astype
  7. Regex
  8. Data visualization
  9. Getting max features (CountVectorizer)
  10. Sparce matrix
  11. Most used words
  12. Train & Test data split
  13. Importing the model (e.g. SVM)
  14. Training the model
  15. Classification, confusion matrix, accuracy results
  16. Saving the model
  17. Reloading and trying the saved model
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