Introduction In the world right now, there are many use cases for AI. In fact, almost every industry – if not every industry – can benefit from AI in some…

Introduction Data science heavily involves statistics. So, to become a good data scientist you need to have a good grasp of the fundamental statistical concepts. However, when it comes to…

Introduction This is the 4th post in a series of 4 posts describing the types of data analysis(). This post is about Inferential analysis. Inferential analysis is based on inferential…

Introduction This is the third post in a series of posts discussing the types of analytics. They are as the following: Exploratory, Descriptive, Predictive, and Inferential. This post will be…

Introduction Descriptive analysis is the second part of the 4 parts of data analysis(Exploratory, Descriptive, Predictive, and Inferential). This blog post will focus on descriptive analysis however I do have…

Introduction Exploratory Data Analysis. You hear it a lot, but what actually is it? Are there different categories of data analysis? And how do you do it? Well in this…

Introduction Over the past few years the term “deep learning” has become widely used in the machine learning and artificial intelligence communities. But what actually is deep learning? And where…

Introduction There are two types of machine learning algorithms – classification and regression. The regression models are used to predict continuous values, whereas classification algorithms are used to classify a…

Introduction If you know English then you can do data analysis with pandas – a library in Python that deals with data analysis. That’s right, no knowledge of Python is…

Introduction Theophrastus (a Greek philosopher) once said “time is the most valuable thing a man can spend”. Time is valuable because it is scarce. It is so valuable in fact…