A.I, Data and Software Engineering

Categorydata science

Feature Engineering FundamentalS

Petamind A.I

The features you use influence more than everything else the result. No algorithm alone, to my knowledge, can supplement the information gain given by correct feature engineering.— Luca Massaron What is a feature and why we need engineering of it? Basically, all machine learning algorithms use some input data to create outputs. This input data comprise features, which are usually in the form...

Advanced Python: Object operations and comparisons

python trademark

In many cases, it is convenient to perform mathematical operations on objects rather than numerical values. Python classes have the ability to emulate the behaviour of numeric values to support operations like addition and subtraction. You can override many more to support number-like functionality. Numeric functions In the following table, the right column contains expressions...

Advanced Python: classes String and computed attribute

python icon

This article demonstrates more advanced features of Python classes and their customisation. Specifically, how enum objects are created, class to strings, and computed attribute. Class string values A string is typically an informal representation of the object. However, it’s just a nicely in human-readable form. Python provides 2 common methods, i.e. str() and repr(). We can...

Advanced python: comprehension

list comprehension

In this article, we’ll learn about a Python language construct known as comprehensions for creating a new sequence based on existing one but its syntax is more human-readable than lambda functions. These can be applied to lists, sets, and dictionaries.  REVIEW Lambda and map Lambda is an anonymous function (function without name). Let have a quick look at the following example for...

Advanced python: collections

python icon

In part 2, we introduced advanced python knowledge with built-in functions and other useful tools for sequence iteration, data transformation. Advanced python part 3 will continue with collections to manipulate our data. Named tuple Suppose we want to define a data structure to represent a geometric point on a typical x and y-axis. We could easily do this by defining a regular...

A.I, Data and Software Engineering

PetaMinds focuses on developing the coolest topics in data science, A.I, and programming, and make them so digestible for everyone to learn and create amazing applications in a short time.

Pin It on Pinterest