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8- How to solve Problem

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How to solve a Real Data Science Problem:

If you have already read some machine learning books. You have noticed that there are different ways to stream data into machine learning.

Most of these books share the following steps:

  • Define Problem
  • Specify Inputs & Outputs
  • Exploratory Data Analysis
  • Data Collection
  • Data Preprocessing
  • Data Cleaning
  • Visualization
  • Model Design, Training, and Offline Evaluation
  • Model Deployment, Online Evaluation, and Monitoring
  • Model Maintenance, Diagnosis, and Retraining Of course, the same solution can not be provided for all problems, so the best way is to create a general framework and adapt it to new problem.

You can see my workflow in the below image :