## Detecting Ouliers

In this context, outliers are data observations that are distant from other observations. There are a number of reasons why variability may exist in the data th...

## Convert Pandas Categorical Data For SciKit-Learn

As you encounter various data elements you should come across categorical data. Some individuals simply discard this data in their analysis or do not bring it i...

## Create a Sparse Matrix

Given enough modeling building, most Data Scientists run into a sparse matrix. Effectively this is simply when most of the elements are zeros. As you will see i...

## Transpose a Vector or a Matrix

When working with one-dimensional array’s we use the term vector and a matrix is a term we use for the concept of storing matrices of more than one dimens...

## Arithmetic Essentials

Arithmetic is an essential skill for a number of reasons. Take a look below on how to handle some the most important aspects when working within machine learnin...

## Applying Functions to List Items

Learning how to apply functions to list items is critical when working with artificial intelligence and machine learning. While the example below is straight-fo...

## Apply Operations Over Items In A List

Three topics to consider are map(), for x in y, and lambda functions when working with data within Python. Map() applies a function to all the items in an input...

## Any(), All(), Max(), Min(), Sum()

Using the any(), all(), max(), and sum() are important when working with machine learning, artificial intelligence, and data science. Knowing how to work with t...

## Create All Combinations of a List

Working with lists is a necessary part of navigating areas of machine learning and artificial intelligence. In many cases, you will find that you need to genera...