1. Introduction to Statistical Models

 
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Introduction to Predictive Modeling

14 lessons , 0 exercises , 1 exam

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Overview

In this lesson we’ll outline the topics that will be covered in this course.

Lesson Notes

Overview of Statistical Models

In analytics, a model is a simplified mathematical approximation of some real-world process. We use models to identify relationships between fields or observations in a data set. When we create a good model, we should be able to use it to analyze other data sets or make predictions for the future.

Course Overview

Models are used in many areas of analytics. In this course, we’ll focus on three main areas, which are applied in other Kubicle courses:

  1. Regression and Clustering

  2. Classification Models

  3. Time Series Analysis

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