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

PREPARATION TECHNIQUES
PLAN:
1. FRAMEWORK FOR DATA PREPARATION TECHNIQUES IN MACHINE LEARNING
2. CHALLENGE OF DATA PREPARATION
3. PREPARATION TECHNIQUES

Framework for Data Preparation Techniques in Machine Learning
There are a vast number of different types of data preparation techniques that could be used on a predictive modeling project.
In some cases, the distribution of the data or the requirements of a machine learning model may suggest the data preparation needed, although this is rarely the case given the complexity and high-dimensionality of the data, the ever-increasing parade of new machine learning algorithms and limited, although human, limitations of the practitioner.
Instead, data preparation can be treated as another hyperparameter to tune as part of the modeling pipeline. This raises the question of how to know what data preparation methods to consider in the search, which can feel overwhelming to experts and beginners alike.
The solution is to think about the vast field of data preparation in a structured way and systematically evaluate data preparation techniques based on their effect on the raw data.
In this tutorial, you will discover a framework that provides a structured approach to both thinking about and grouping data preparation techniques for predictive modeling with structured data.
After completing this tutorial, you will know:

• 
  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.
  

Kick-start your project with my new book Data Preparation for Machine Learning, including step-by-step tutorials and the Python source code files for all examples.
Let’s get started.

Framework for Data Preparation Techniques in Machine Learning
Photo by Phil Dolby, some rights reserved.