Preparation techniques plan: framework for data preparation techniques in machine learning challenge of data preparation

Do you know of other methods that fit into this group?
Let me know in the comments below.
Further Reading
This section provides more resources on the topic if you are looking to go deeper.
Books

• 
  Feature Engineering and Selection, 2019.
  
• 
  Feature Engineering for Machine Learning, 2018.
  

Summary
In this tutorial, you discovered a framework for systematically grouping data preparation techniques based on their effect on raw data.
Specifically, you learned:

• 
  The challenge and overwhelm of framing data preparation as yet an additional hyperparameter to tune in the machine learning modeling pipeline.
  
• 
  A framework that defines five groups of data preparation techniques to consider.
  
• 
  Examples of data preparation techniques that belong to each group that can be evaluated on your predictive modeling project.
  

Do you have any questions?
Ask your questions in the comments below and I will do my best to answer.

What are the 10 dry cooking techniques

Answered By: Cameron Coleman Date: created: Sep 15 2021
Grilling, broiling, baking, roasting, sautéing or stir-frying, and searing are the different ways to cook using dry heat:Grilling. Grilling uses heat from underneath to cook the food. … Broiling. … Baking. … Roasting. … Sautéing. … Searing. … You may also be interested in:

Asked By: Keith Jenkins Date: created: Jan 08 2021

What is the best method of cooking

Answered By: Gavin Edwards Date: created: Jan 08 2021
But research actually suggests boiling could be the best way to preserve nutrients in carrots, zucchini, and broccoli (when compared to steaming, frying, or eating raw). Cooking anything from fresh veggies to fish fillets this way allows them to stew in their own juices and retain all their natural goodness.

Asked By: Jeffery Ross Date: created: Jun 15 2021