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What are the perfect steps to follow to complete Data Science Project and Machine Learning with Deployment to Cloud

What are the perfect steps to follow to complete Data Science Project and Machine Learning with Deployment to Cloud.

Example like -

  1. Checking Null values
  2. Outliers

Which steps comes when ?

There are no rules for steps to solve a machine learning problem (order of different steps isnt imporatant…) still u may follow the below steps

  1. Data collection
  2. Data cleaning
    3)Feature Engg
    4)Train test slpit
    5)model fitting
  3. prediction
  4. Evaluation
  5. Deployment
    for more details go though this blog
    https://towardsdatascience.com/9-steps-for-solving-data-science-problems-dc3c238cb58c
    https://medium.com/cracking-the-data-science-interview/how-to-think-like-a-data-scientist-in-12-steps-157ea8ad5da8