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# Data Science Blog

Machine learning & data science for beginners and experts alike.
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## Data-Science Design Patterns: Cost-Sensitive Learning

Alteryx Alumni (Retired)

Many if not most supervised-classification problems involve some degree of class imbalance, where at least one class occurs more frequently than the others.  The imbalanced-classification problem illustrates the value of approaching data-science problems as empirical (as well as formal) optimization problems, using techniques termed cost-sensitive learning. This post will show you how to do cost-sensitive binary classification.

## Alteryx Data Science Design Patterns: Combining Models

Alteryx Alumni (Retired)

Most real-world data-science design patterns combine several models to solve a single business problem.  This post surveys the most common and effective techniques for combining models.  Once you make it through this post (and its predecessors), you'll be ready to take on the design patterns we'll begin learning in 2017.

## Alteryx Data Science Design Patterns: Cross Validation

Alteryx Alumni (Retired)

Cross validation (CV) is a difficult topic.  There are many ways to do CV, and articles on the subject can be very technical.  This blog post is a gentle introduction to CV.  Read it and you'll find it much easier to understand later posts describing data-science design patterns that use CV.

## Alteryx Data Science Design Patterns: Predictive Model Form, Part Five

Alteryx Alumni (Retired)

Understanding fitting algorithms is the final hurdle between you and some juicy data science design patterns.  Make the leap!

## Alteryx Data Science Design Patterns: Predictive Model Form, Part Four

Alteryx Alumni (Retired)

Nothing is more stylish than a well-fitted induction algorithm.

## Alteryx Data Science Design Patterns: Predictive Model Form, Part Three

Alteryx Alumni (Retired)

An advanced-analytics model's induction algorithm is its prediction engine.  Learn what induction-algorithm features distinguish parametric statistical models and machine-learning models.

## Alteryx Data Science Design Patterns: Predictive Model Form, Part Two

Alteryx Alumni (Retired)

Learn why "all models are wrong, but some models are useful."