## Machine Learning 101: Criterion vs Predictor (With Coded Examples)

In data science, there are many different ways to slice the pie. While many refer to independent and dependent variables differently, they …

In data science, there are many different ways to slice the pie. While many refer to independent and dependent variables differently, they …

Normality has been shown to help provide more stable machine learning models and improve the accuracy of these models in the long …

We’ve all been there; you’ve worked night and day to finally get an accurate model for your dataset. You’ve finally got an …

As its names suggest, “outliers” refers to a group or singular piece of information that doesn’t seem to fit in with the …

Data science and data mining are hot topics in the industry. Companies can’t seem to hire enough people to crunch their numbers …

Correlation seems simple on the surface. As one thing gets larger, something either gets larger or smaller. While at a high level, …

As data scientists, we’re interested in solving future problems. We do this by finding patterns and trends in data, then applying these …

As data scientists, you’ll often face datasets too large to understand. With the recent advances in machine learning, we can visualize nearly …

Even though clustering is a cornerstone of data science and data mining, many falsely assume that clustering does not come without its …

In data science, some underlying assumptions are made when you use specific machine learning models. Many of these assumptions are based on …