Data Modeling

Introduction

This section of the Starter Guides is dedicated towards general data modeling background knowledge that is highly applicable regardless of which kind of data analysis technique you are using. This section assumes zero depth in data science, but even developed data professionals will find something to take away.

Table of Contents

Links with a * in their name are highly recommended for those new to the data science world in general.

Working through this sequentially might make the most sense.

General Principles
Sampling Methods
- Cross Validation
  - Cross Validation: Training, Validation, and Testing Splits*
  - Leave-One-Out CV & k-Fold CV*
Modeling Process
- Choosing a Model
- Step By Step Process