## 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...

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# Author: Damian Mingle

## Transpose a Vector or a Matrix

## Arithmetic Essentials

## Applying Functions to List Items

## Apply Operations Over Items In A List

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

## Create All Combinations of a List

## Add Padding Around String

## Make Simulated Data for Regression

## Make Simulated Data for Clustering

## Perceptron in SciKit-Learn

Helping Others Extract Knowledge from Data.

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 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...

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...

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...

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...

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...

Using strings is a necessary part of interacting with data. A simple understanding of a String is an array of characters. Many individuals think of strings as a...

Generating simulated data for regression is a helpful technique to know since you may want to create a model, when in fact, it is difficult to obtain the data. ...

We will be using Gaussian blobs from SciKit-Learn to generate simulated clusters. View the code on Gist.

Wiki Link: Perceptron View the code on Gist.