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Could someone tell me what are the key steps in building a Machine Learning project?

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Machine Learning project involves building ML models for performing specific tasks, which would help in automating some tasks, that would help in reducing the human effort. The key steps in building a Machine Learning project are:

  1. Collection of Data
  2. Cleansing/Preparing the Data
  3. Choosing the model for creating the ML model depending on the applications
  4. Then building the model through training with datasets
  5. Thereafter checking the correctness of the model, or by evaluation of the model
  6. Performing Parameter tuning, to increase the efficiency and accuracy of the model
  7. At last, the model has been created with the required accuracy.

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